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Semantic Compositionality through Recursive Matrix-Vector Spaces
Richard Socher
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Brody Huval
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Christopher D. Manning
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Andrew Y. Ng
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Paper Details:
Month: July
Year: 2012
Location: Jeju Island, Korea
Venue:
CoNLL |
EMNLP |
Citations
URL
Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
Cícero dos Santos
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Maíra Gatti
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An LR-inspired generalized lexicalized phrase structure parser
Benoit Crabbé
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Inducing Latent Semantic Relations for Structured Distributional Semantics
Sujay Kumar Jauhar
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Eduard Hovy
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Towards Syntax-aware Compositional Distributional Semantic Models
Lorenzo Ferrone
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Fabio Massimo Zanzotto
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A Markovian approach to distributional semantics with application to semantic compositionality
Édouard Grave
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Guillaume Obozinski
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Francis Bach
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Common Space Embedding of Primal-Dual Relation Semantic Spaces
Hidekazu Oiwa
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Jun’ichi Tsujii
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Learning to Distinguish Hypernyms and Co-Hyponyms
Julie Weeds
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Daoud Clarke
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Jeremy Reffin
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David Weir
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Bill Keller
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Relation Classification via Convolutional Deep Neural Network
Daojian Zeng
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Kang Liu
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Siwei Lai
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Guangyou Zhou
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Jun Zhao
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Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification
Chaya Liebeskind
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Yaakov HaCohen-Kerner
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A Unified Architecture for Semantic Role Labeling and Relation Classification
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Jun Xu
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Improved relation classification by deep recurrent neural networks with data augmentation
Yan Xu
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Ran Jia
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Lili Mou
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Ge Li
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Yunchuan Chen
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Yangyang Lu
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Zhi Jin
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Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification
Bofang Li
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Zhe Zhao
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Tao Liu
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Puwei Wang
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Xiaoyong Du
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UTCNN: a Deep Learning Model of Stance Classification on Social Media Text
Wei-Fan Chen
|
Lun-Wei Ku
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Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
Jianfei Yu
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Jing Jiang
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Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts
Xingyou Wang
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Weijie Jiang
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Zhiyong Luo
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Attention-Based Convolutional Neural Network for Semantic Relation Extraction
Yatian Shen
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Xuanjing Huang
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SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives
Erik Cambria
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Soujanya Poria
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Rajiv Bajpai
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Bjoern Schuller
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Modeling Context-sensitive Selectional Preference with Distributed Representations
Naoya Inoue
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Yuichiroh Matsubayashi
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Masayuki Ono
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Naoaki Okazaki
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Kentaro Inui
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Distributional Inclusion Hypothesis for Tensor-based Composition
Dimitri Kartsaklis
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Mehrnoosh Sadrzadeh
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Compositional Distributional Models of Meaning
Mehrnoosh Sadrzadeh
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Dimitri Kartsaklis
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RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian
Anna Rogers
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Alexey Romanov
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Anna Rumshisky
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Svitlana Volkova
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Mikhail Gronas
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Alex Gribov
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Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences
Shiou Tian Hsu
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Mandar Chaudhary
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Nagiza Samatova
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Adversarial Multi-lingual Neural Relation Extraction
Xiaozhi Wang
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Xu Han
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Yankai Lin
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Zhiyuan Liu
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Maosong Sun
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Neural Relation Classification with Text Descriptions
Feiliang Ren
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Di Zhou
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Zhihui Liu
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Yongcheng Li
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Rongsheng Zhao
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Yongkang Liu
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Xiaobo Liang
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Learning What to Share: Leaky Multi-Task Network for Text Classification
Liqiang Xiao
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Honglun Zhang
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Wenqing Chen
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Yongkun Wang
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Yaohui Jin
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Convolutional Neural Network for Universal Sentence Embeddings
Xiaoqi Jiao
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Fang Wang
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Dan Feng
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Information Aggregation via Dynamic Routing for Sequence Encoding
Jingjing Gong
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Xipeng Qiu
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Shaojing Wang
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Xuanjing Huang
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Model-Free Context-Aware Word Composition
Bo An
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Xianpei Han
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Le Sun
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Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks
Masashi Tsubaki
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Kevin Duh
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Masashi Shimbo
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Yuji Matsumoto
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Studying the Recursive Behaviour of Adjectival Modification with Compositional Distributional Semantics
Eva Maria Vecchi
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Roberto Zamparelli
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Marco Baroni
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Recursive Autoencoders for ITG-Based Translation
Peng Li
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Yang Liu
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Maosong Sun
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Simple Customization of Recursive Neural Networks for Semantic Relation Classification
Kazuma Hashimoto
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Makoto Miwa
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Yoshimasa Tsuruoka
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Takashi Chikayama
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Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher
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Alex Perelygin
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Jean Wu
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Jason Chuang
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Christopher D. Manning
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Andrew Ng
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Christopher Potts
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Recurrent Continuous Translation Models
Nal Kalchbrenner
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Phil Blunsom
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Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing
Angeliki Lazaridou
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Eva Maria Vecchi
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Marco Baroni
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Modeling Interestingness with Deep Neural Networks
Jianfeng Gao
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Patrick Pantel
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Michael Gamon
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Xiaodong He
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Li Deng
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Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data
Ivan Vulić
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Marie-Francine Moens
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Composition of Word Representations Improves Semantic Role Labelling
Michael Roth
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Kristian Woodsend
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A Joint Segmentation and Classification Framework for Sentiment Analysis
Duyu Tang
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Furu Wei
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Bing Qin
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Li Dong
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Ting Liu
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Ming Zhou
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Chinese Poetry Generation with Recurrent Neural Networks
Xingxing Zhang
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Mirella Lapata
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Evaluating Neural Word Representations in Tensor-Based Compositional Settings
Dmitrijs Milajevs
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Dimitri Kartsaklis
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Mehrnoosh Sadrzadeh
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Matthew Purver
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The Inside-Outside Recursive Neural Network model for Dependency Parsing
Phong Le
|
Willem Zuidema
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Reducing Dimensions of Tensors in Type-Driven Distributional Semantics
Tamara Polajnar
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Luana Fǎgǎrǎşan
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Stephen Clark
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Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures
Kazuma Hashimoto
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Pontus Stenetorp
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Makoto Miwa
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Yoshimasa Tsuruoka
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Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks
Ke M. Tran
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Arianna Bisazza
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Christof Monz
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Convolutional Neural Networks for Sentence Classification
Yoon Kim
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A Model of Coherence Based on Distributed Sentence Representation
Jiwei Li
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Eduard Hovy
|
Recursive Deep Models for Discourse Parsing
Jiwei Li
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Rumeng Li
|
Eduard Hovy
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Traversing Knowledge Graphs in Vector Space
Kelvin Guu
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John Miller
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Percy Liang
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Joint Embedding of Query and Ad by Leveraging Implicit Feedback
Sungjin Lee
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Yifan Hu
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Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling
Kun Xu
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Yansong Feng
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Songfang Huang
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Dongyan Zhao
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Open-Domain Name Error Detection using a Multi-Task RNN
Hao Cheng
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Hao Fang
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Mari Ostendorf
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Sentence Modeling with Gated Recursive Neural Network
Xinchi Chen
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Xipeng Qiu
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Chenxi Zhu
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Shiyu Wu
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Xuanjing Huang
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Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing
Meishan Zhang
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Yue Zhang
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Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning
Jianpeng Cheng
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Dimitri Kartsaklis
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Reverse-engineering Language: A Study on the Semantic Compositionality of German Compounds
Corina Dima
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Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li
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Dan Jurafsky
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Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions
Majid Yazdani
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Meghdad Farahmand
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James Henderson
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Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
Daojian Zeng
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Kang Liu
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Yubo Chen
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Jun Zhao
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Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Matthew R. Gormley
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Mo Yu
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Mark Dredze
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Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths
Yan Xu
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Lili Mou
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Ge Li
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Yunchuan Chen
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Hao Peng
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Zhi Jin
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Bayesian Optimization of Text Representations
Dani Yogatama
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Lingpeng Kong
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Noah A. Smith
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A Comparative Study on Regularization Strategies for Embedding-based Neural Networks
Hao Peng
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Lili Mou
|
Ge Li
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Yunchuan Chen
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Yangyang Lu
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Zhi Jin
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When Are Tree Structures Necessary for Deep Learning of Representations?
Jiwei Li
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Thang Luong
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Dan Jurafsky
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Eduard Hovy
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Discriminative Neural Sentence Modeling by Tree-Based Convolution
Lili Mou
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Hao Peng
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Ge Li
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Yan Xu
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Lu Zhang
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Zhi Jin
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Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents
Pengfei Liu
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Xipeng Qiu
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Xinchi Chen
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Shiyu Wu
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Xuanjing Huang
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PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis
Thien Hai Nguyen
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Kiyoaki Shirai
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A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification
Yunlun Yang
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Yunhai Tong
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Shulei Ma
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Zhi-Hong Deng
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Deep Multi-Task Learning with Shared Memory for Text Classification
Pengfei Liu
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Xipeng Qiu
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Xuanjing Huang
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Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Wenya Wang
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Sinno Jialin Pan
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Daniel Dahlmeier
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Xiaokui Xiao
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Context-Sensitive Lexicon Features for Neural Sentiment Analysis
Zhiyang Teng
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Duy-Tin Vo
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Yue Zhang
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Neural Sentiment Classification with User and Product Attention
Huimin Chen
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Maosong Sun
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Cunchao Tu
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Yankai Lin
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Zhiyuan Liu
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Improving Sparse Word Representations with Distributional Inference for Semantic Composition
Thomas Kober
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Julie Weeds
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Jeremy Reffin
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David Weir
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Inter-Weighted Alignment Network for Sentence Pair Modeling
Gehui Shen
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Yunlun Yang
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Zhi-Hong Deng
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Idiom-Aware Compositional Distributed Semantics
Pengfei Liu
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Kaiyu Qian
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Xipeng Qiu
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Xuanjing Huang
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Learning Contextually Informed Representations for Linear-Time Discourse Parsing
Yang Liu
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Mirella Lapata
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Incorporating Relation Paths in Neural Relation Extraction
Wenyuan Zeng
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Yankai Lin
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Zhiyuan Liu
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Maosong Sun
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Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia
E. Darío Gutiérrez
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Guillermo Cecchi
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Cheryl Corcoran
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Philip Corlett
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Word Mover’s Embedding: From Word2Vec to Document Embedding
Lingfei Wu
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Ian En-Hsu Yen
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Kun Xu
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Fangli Xu
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Avinash Balakrishnan
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Pin-Yu Chen
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Pradeep Ravikumar
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Michael J. Witbrock
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Improving Distributional Semantic Vectors through Context Selection and Normalisation
Tamara Polajnar
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Stephen Clark
|
Improving the Lexical Function Composition Model with Pathwise Optimized Elastic-Net Regression
Jiming Li
|
Marco Baroni
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Georgiana Dinu
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Neural Tree Indexers for Text Understanding
Tsendsuren Munkhdalai
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Hong Yu
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Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets
Isabel Segura-Bedmar
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Antonio Quirós
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Paloma Martínez
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A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification
Shiou Tian Hsu
|
Changsung Moon
|
Paul Jones
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Nagiza Samatova
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Structural Attention Neural Networks for improved sentiment analysis
Filippos Kokkinos
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Alexandros Potamianos
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Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information
Ling Gan
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Houyu Gong
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Cascading Multiway Attentions for Document-level Sentiment Classification
Dehong Ma
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Sujian Li
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Xiaodong Zhang
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Houfeng Wang
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Xu Sun
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Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks
Bonan Min
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Zhuolin Jiang
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Marjorie Freedman
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Ralph Weischedel
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Multichannel Variable-Size Convolution for Sentence Classification
Wenpeng Yin
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Hinrich Schütze
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Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
Kazuma Hashimoto
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Pontus Stenetorp
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Makoto Miwa
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Yoshimasa Tsuruoka
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Learning Adjective Meanings with a Tensor-Based Skip-Gram Model
Jean Maillard
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Stephen Clark
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Event Embeddings for Semantic Script Modeling
Ashutosh Modi
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Event Linking with Sentential Features from Convolutional Neural Networks
Sebastian Krause
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Feiyu Xu
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Hans Uszkoreit
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Dirk Weissenborn
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The Lifted Matrix-Space Model for Semantic Composition
WooJin Chung
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Sheng-Fu Wang
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Samuel Bowman
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A Character-based Approach to Distributional Semantic Models: Exploiting Kanji Characters for Constructing JapaneseWord Vectors
Akira Utsumi
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A SICK cure for the evaluation of compositional distributional semantic models
Marco Marelli
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Stefano Menini
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Marco Baroni
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Luisa Bentivogli
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Raffaella Bernardi
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Roberto Zamparelli
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Cognitively Motivated Distributional Representations of Meaning
Elias Iosif
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Spiros Georgiladakis
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Alexandros Potamianos
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Typology of Adjectives Benchmark for Compositional Distributional Models
Daria Ryzhova
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Maria Kyuseva
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Denis Paperno
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NNBlocks: A Deep Learning Framework for Computational Linguistics Neural Network Models
Frederico Tommasi Caroli
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André Freitas
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João Carlos Pereira da Silva
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Siegfried Handschuh
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Chinese Relation Classification using Long Short Term Memory Networks
Linrui Zhang
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Dan Moldovan
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Discourse Connectors for Latent Subjectivity in Sentiment Analysis
Rakshit Trivedi
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Jacob Eisenstein
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A Tensor-based Factorization Model of Semantic Compositionality
Tim Van de Cruys
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Thierry Poibeau
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Anna Korhonen
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Subsentential Sentiment on a Shoestring: A Crosslingual Analysis of Compositional Classification
Michael Haas
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Yannick Versley
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A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions
Bahar Salehi
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Paul Cook
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Timothy Baldwin
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Chain Based RNN for Relation Classification
Javid Ebrahimi
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Dejing Dou
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Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
Mo Yu
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Matthew R. Gormley
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Mark Dredze
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Combining Recurrent and Convolutional Neural Networks for Relation Classification
Ngoc Thang Vu
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Heike Adel
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Pankaj Gupta
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Hinrich Schütze
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Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification
Aditya Mogadala
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Achim Rettinger
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DAG-Structured Long Short-Term Memory for Semantic Compositionality
Xiaodan Zhu
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Parinaz Sobhani
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Hongyu Guo
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Embedding Lexical Features via Low-Rank Tensors
Mo Yu
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Mark Dredze
|
Raman Arora
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Matthew R. Gormley
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Deep LSTM based Feature Mapping for Query Classification
Yangyang Shi
|
Kaisheng Yao
|
Le Tian
|
Daxin Jiang
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Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents
Rui Zhang
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Honglak Lee
|
Dragomir R. Radev
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Learning Domain Representation for Multi-Domain Sentiment Classification
Qi Liu
|
Yue Zhang
|
Jiangming Liu
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Global Relation Embedding for Relation Extraction
Yu Su
|
Honglei Liu
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Semih Yavuz
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Izzeddin Gür
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Huan Sun
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Xifeng Yan
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Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model
Vered Shwartz
|
Chris Waterson
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Word Alignment Modeling with Context Dependent Deep Neural Network
Nan Yang
|
Shujie Liu
|
Mu Li
|
Ming Zhou
|
Nenghai Yu
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Parsing with Compositional Vector Grammars
Richard Socher
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John Bauer
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Christopher D. Manning
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Andrew Y. Ng
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The Role of Syntax in Vector Space Models of Compositional Semantics
Karl Moritz Hermann
|
Phil Blunsom
|
Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics
Angeliki Lazaridou
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Marco Marelli
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Roberto Zamparelli
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Marco Baroni
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A relatedness benchmark to test the role of determiners in compositional distributional semantics
Raffaella Bernardi
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Georgiana Dinu
|
Marco Marelli
|
Marco Baroni
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A Structured Distributional Semantic Model for Event Co-reference
Kartik Goyal
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Sujay Kumar Jauhar
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Huiying Li
|
Mrinmaya Sachan
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Shashank Srivastava
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Eduard Hovy
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DISSECT - DIStributional SEmantics Composition Toolkit
Georgiana Dinu
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Nghia The Pham
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Marco Baroni
|
Representation Learning for Text-level Discourse Parsing
Yangfeng Ji
|
Jacob Eisenstein
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Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann
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Phil Blunsom
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A practical and linguistically-motivated approach to compositional distributional semantics
Denis Paperno
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Nghia The Pham
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Marco Baroni
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Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
Marco Baroni
|
Georgiana Dinu
|
Germán Kruszewski
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An Empirical Study on the Effect of Negation Words on Sentiment
Xiaodan Zhu
|
Hongyu Guo
|
Saif Mohammad
|
Svetlana Kiritchenko
|
Vector space semantics with frequency-driven motifs
Shashank Srivastava
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Eduard Hovy
|
Learning Continuous Phrase Representations for Translation Modeling
Jianfeng Gao
|
Xiaodong He
|
Wen-tau Yih
|
Li Deng
|
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
Duyu Tang
|
Furu Wei
|
Nan Yang
|
Ming Zhou
|
Ting Liu
|
Bing Qin
|
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
Li Dong
|
Furu Wei
|
Chuanqi Tan
|
Duyu Tang
|
Ming Zhou
|
Ke Xu
|
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
Thien Huu Nguyen
|
Ralph Grishman
|
Resolving Lexical Ambiguity in Tensor Regression Models of Meaning
Dimitri Kartsaklis
|
Nal Kalchbrenner
|
Mehrnoosh Sadrzadeh
|
Building Sentiment Lexicons for All Major Languages
Yanqing Chen
|
Steven Skiena
|
An Exploration of Embeddings for Generalized Phrases
Wenpeng Yin
|
Hinrich Schütze
|
Compositional Vector Space Models for Knowledge Base Completion
Arvind Neelakantan
|
Benjamin Roth
|
Andrew McCallum
|
A Generalisation of Lexical Functions for Composition in Distributional Semantics
Antoine Bride
|
Tim Van de Cruys
|
Nicholas Asher
|
Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification
HuiWei Zhou
|
Long Chen
|
Fulin Shi
|
Degen Huang
|
Classifying Relations by Ranking with Convolutional Neural Networks
Cícero dos Santos
|
Bing Xiang
|
Bowen Zhou
|
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
Thien Huu Nguyen
|
Barbara Plank
|
Ralph Grishman
|
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
Nghia The Pham
|
Germán Kruszewski
|
Angeliki Lazaridou
|
Marco Baroni
|
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification
Duyu Tang
|
Bing Qin
|
Ting Liu
|
Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network
Qiao Qian
|
Bo Tian
|
Minlie Huang
|
Yang Liu
|
Xuan Zhu
|
Xiaoyan Zhu
|
Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
Sam Wiseman
|
Alexander M. Rush
|
Stuart Shieber
|
Jason Weston
|
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
|
Richard Socher
|
Christopher D. Manning
|
A Dependency-Based Neural Network for Relation Classification
Yang Liu
|
Furu Wei
|
Sujian Li
|
Heng Ji
|
Ming Zhou
|
Houfeng Wang
|
Low-Rank Tensors for Verbs in Compositional Distributional Semantics
Daniel Fried
|
Tamara Polajnar
|
Stephen Clark
|
Learning Representations for Text-level Discourse Parsing
Gregor Weiss
|
Literal and Metaphorical Senses in Compositional Distributional Semantic Models
E.Dario Gutiérrez
|
Ekaterina Shutova
|
Tyler Marghetis
|
Benjamin Bergen
|
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings
Kazuma Hashimoto
|
Yoshimasa Tsuruoka
|
Bidirectional Recurrent Convolutional Neural Network for Relation Classification
Rui Cai
|
Xiaodong Zhang
|
Houfeng Wang
|
Investigating LSTMs for Joint Extraction of Opinion Entities and Relations
Arzoo Katiyar
|
Claire Cardie
|
Siamese CBOW: Optimizing Word Embeddings for Sentence Representations
Tom Kenter
|
Alexey Borisov
|
Maarten de Rijke
|
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Makoto Miwa
|
Mohit Bansal
|
Learning Semantically and Additively Compositional Distributional Representations
Ran Tian
|
Naoaki Okazaki
|
Kentaro Inui
|
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova
|
Iryna Gurevych
|
evision PDF of 'Neural Relation Extraction with Selective Attention over Instances
Yankai Lin
|
Shiqi Shen
|
Zhiyuan Liu
|
Huanbo Luan
|
Maosong Sun
|
Composing Distributed Representations of Relational Patterns
Sho Takase
|
Naoaki Okazaki
|
Kentaro Inui
|
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
Peng Zhou
|
Wei Shi
|
Jun Tian
|
Zhenyu Qi
|
Bingchen Li
|
Hongwei Hao
|
Bo Xu
|
Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks
Suzushi Tomori
|
Takashi Ninomiya
|
Shinsuke Mori
|
Polish evaluation dataset for compositional distributional semantics models
Alina Wróblewska
|
Katarzyna Krasnowska-Kieraś
|
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
John Wieting
|
Kevin Gimpel
|
Unsupervised Learning of Distributional Relation Vectors
Shoaib Jameel
|
Zied Bouraoui
|
Steven Schockaert
|
Sentence-State LSTM for Text Representation
Yue Zhang
|
Qi Liu
|
Linfeng Song
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Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
Dinghan Shen
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Guoyin Wang
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Wenlin Wang
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Martin Renqiang Min
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Qinliang Su
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Yizhe Zhang
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Chunyuan Li
|
Ricardo Henao
|
Lawrence Carin
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Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations
Vered Shwartz
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Ido Dagan
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Rumor Detection on Twitter with Tree-structured Recursive Neural Networks
Jing Ma
|
Wei Gao
|
Kam-Fai Wong
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Restricted Recurrent Neural Tensor Networks: Exploiting Word Frequency and Compositionality
Alexandre Salle
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Aline Villavicencio
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Multi-lingual Entity Discovery and Linking
Avi Sil
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Heng Ji
|
Dan Roth
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Silviu-Petru Cucerzan
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Combined Distributional and Logical Semantics
Mike Lewis
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Mark Steedman
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Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM
Lizhen Qu
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Yi Zhang
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Rui Wang
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Lili Jiang
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Rainer Gemulla
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Gerhard Weikum
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Grounded Compositional Semantics for Finding and Describing Images with Sentences
Richard Socher
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Andrej Karpathy
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Quoc V. Le
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Christopher D. Manning
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Andrew Y. Ng
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Learning Composition Models for Phrase Embeddings
Mo Yu
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Mark Dredze
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Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Nanyun Peng
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Hoifung Poon
|
Chris Quirk
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Kristina Toutanova
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Wen-tau Yih
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Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors
Edward Grefenstette
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MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
Tim Van de Cruys
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Stergos Afantenos
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Philippe Muller
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SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment
Marco Marelli
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Luisa Bentivogli
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Marco Baroni
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Raffaella Bernardi
|
Stefano Menini
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Roberto Zamparelli
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ASAP: Automatic Semantic Alignment for Phrases
Ana Alves
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Adriana Ferrugento
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Mariana Lourenço
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Filipe Rodrigues
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ECNU: One Stone Two Birds: Ensemble of Heterogenous Measures for Semantic Relatedness and Textual Entailment
Jiang Zhao
|
Tiantian Zhu
|
Man Lan
|
Illinois-LH: A Denotational and Distributional Approach to Semantics
Alice Lai
|
Julia Hockenmaier
|
Think Positive: Towards Twitter Sentiment Analysis from Scratch
Cícero dos Santos
|
Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition
Xiaodan Zhu
|
Hongyu Guo
|
Parinaz Sobhani
|
Dissecting the Practical Lexical Function Model for Compositional Distributional Semantics
Abhijeet Gupta
|
Jason Utt
|
Sebastian Padó
|
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge
Xiaoqiang Zhou
|
Baotian Hu
|
Jiaxin Lin
|
Yang Xiang
|
Xiaolong Wang
|
PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.
Uladzimir Sidarenka
|
TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news
Leon Rotim
|
Martin Tutek
|
Jan Šnajder
|
MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
Ji Young Lee
|
Franck Dernoncourt
|
Peter Szolovits
|
ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction
Jonathan Rotsztejn
|
Nora Hollenstein
|
Ce Zhang
|
SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers
Farhad Nooralahzadeh
|
Lilja Øvrelid
|
Jan Tore Lønning
|
Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers
Andrey Sysoev
|
Vladimir Mayorov
|
Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations
Nam Khanh Tran
|
Weiwei Cheng
|
Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models
Zhuang Li
|
Lizhen Qu
|
Qiongkai Xu
|
Mark Johnson
|
Featureless Domain-Specific Term Extraction with Minimal Labelled Data
Rui Wang
|
Wei Liu
|
Chris McDonald
|
Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models
Jayant Krishnamurthy
|
Tom Mitchell
|
A Structured Distributional Semantic Model : Integrating Structure with Semantics
Kartik Goyal
|
Sujay Kumar Jauhar
|
Huiying Li
|
Mrinmaya Sachan
|
Shashank Srivastava
|
Eduard Hovy
|
General estimation and evaluation of compositional distributional semantic models
Georgiana Dinu
|
Nghia The Pham
|
Marco Baroni
|
“Not not bad” is not “bad”: A distributional account of negation
Karl Moritz Hermann
|
Edward Grefenstette
|
Phil Blunsom
|
A Generative Model of Vector Space Semantics
Jacob Andreas
|
Zoubin Ghahramani
|
Recurrent Convolutional Neural Networks for Discourse Compositionality
Nal Kalchbrenner
|
Phil Blunsom
|
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
Alona Fyshe
|
Brian Murphy
|
Partha Talukdar
|
Tom Mitchell
|
Better Word Representations with Recursive Neural Networks for Morphology
Thang Luong
|
Richard Socher
|
Christopher Manning
|
Separating Disambiguation from Composition in Distributional Semantics
Dimitri Kartsaklis
|
Mehrnoosh Sadrzadeh
|
Stephen Pulman
|
Polyglot: Distributed Word Representations for Multilingual NLP
Rami Al-Rfou’
|
Bryan Perozzi
|
Steven Skiena
|
A Type-Driven Tensor-Based Semantics for CCG
Jean Maillard
|
Stephen Clark
|
Edward Grefenstette
|
Distributional Composition using Higher-Order Dependency Vectors
Julie Weeds
|
David Weir
|
Jeremy Reffin
|
Investigating the Contribution of Distributional Semantic Information for Dialogue Act Classification
Dmitrijs Milajevs
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Matthew Purver
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Inducing Neural Models of Script Knowledge
Ashutosh Modi
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Ivan Titov
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A Deep Architecture for Semantic Parsing
Edward Grefenstette
|
Phil Blunsom
|
Nando de Freitas
|
Karl Moritz Hermann
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Low-Dimensional Embeddings of Logic
Tim Rocktäschel
|
Matko Bosnjak
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Sameer Singh
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Sebastian Riedel
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Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification
Yoon Kim
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Owen Zhang
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Segment-based Fine-grained Emotion Detection for Chinese Text
Odbal
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Zengfu Wang
|
Efficiency in Ambiguity: Two Models of Probabilistic Semantics for Natural Language
Daoud Clarke
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Bill Keller
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A computational linguistic approach to Spanish Golden Age Sonnets: metrical and semantic aspects
Borja Navarro
|
Fusion of Compositional Network-based and Lexical Function Distributional Semantic Models
Spiros Georgiladakis
|
Elias Iosif
|
Alexandros Potamianos
|
Relation Extraction: Perspective from Convolutional Neural Networks
Thien Huu Nguyen
|
Ralph Grishman
|
Distributional Semantics in Use
Raffaella Bernardi
|
Gemma Boleda
|
Raquel Fernández
|
Denis Paperno
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Evaluating distributed word representations for capturing semantics of biomedical concepts
Muneeb TH
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Sunil Sahu
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Ashish Anand
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Recursive Neural Networks Can Learn Logical Semantics
Samuel R. Bowman
|
Christopher Potts
|
Christopher D. Manning
|
A semantic-affective compositional approach for the affective labelling of adjective-noun and noun-noun pairs
Elisavet Palogiannidi
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Elias Iosif
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Polychronis Koutsakis
|
Alexandros Potamianos
|
On the Correspondence between Compositional Matrix-Space Models of Language and Weighted Automata
Shima Asaadi
|
Sebastian Rudolph
|
A Proposal for Linguistic Similarity Datasets Based on Commonality Lists
Dmitrijs Milajevs
|
Sascha Griffiths
|
Comparison of Short-Text Sentiment Analysis Methods for Croatian
Leon Rotim
|
Jan Šnajder
|
Sense Contextualization in a Dependency-Based Compositional Distributional Model
Pablo Gamallo
|
Gradual Learning of Matrix-Space Models of Language for Sentiment Analysis
Shima Asaadi
|
Sebastian Rudolph
|
Lexicon Integrated CNN Models with Attention for Sentiment Analysis
Bonggun Shin
|
Timothy Lee
|
Jinho D. Choi
|
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
Allyson Ettinger
|
Sudha Rao
|
Hal Daumé III
|
Emily M. Bender
|
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders
Tsuneo Kato
|
Atsushi Nagai
|
Naoki Noda
|
Ryosuke Sumitomo
|
Jianming Wu
|
Seiichi Yamamoto
|
Learning Phrase Embeddings from Paraphrases with GRUs
Zhihao Zhou
|
Lifu Huang
|
Heng Ji
|
Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space
Vijay Prakash Dwivedi
|
Manish Shrivastava
|
Tackling Adversarial Examples in QA via Answer Sentence Selection
Yuanhang Ren
|
Ye Du
|
Di Wang
|
Chat Discrimination for Intelligent Conversational Agents with a Hybrid CNN-LMTGRU Network
Dennis Singh Moirangthem
|
Minho Lee
|
Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts
Pankaj Gupta
|
Bernt Andrassy
|
Hinrich Schütze
|
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction
Chen Lin
|
Timothy Miller
|
Dmitriy Dligach
|
Hadi Amiri
|
Steven Bethard
|
Guergana Savova
|
Learning representations for sentiment classification using Multi-task framework
Hardik Meisheri
|
Harshad Khadilkar
|
Finding The Best Model Among Representative Compositional Models
Masayasu Muraoka
|
Sonse Shimaoka
|
Kazeto Yamamoto
|
Yotaro Watanabe
|
Naoaki Okazaki
|
Kentaro Inui
|
Acquiring distributed representations for verb-object pairs by using word2vec
Miki Iwai
|
Takashi Ninomiya
|
Kyo Kageura
|
http://compprag.christopherpotts.net/reviews.html
Field Of Study
Linguistic Trends
Formal Semantics
Task
Semantic Similarity
Information Retrieval
Sentiment Analysis
Approach
Deep Learning
Unsupervised Learning
Language
English
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