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Relation Extraction: Perspective from Convolutional Neural Networks
Thien Huu Nguyen
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Ralph Grishman
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
LatentVar |
WS |
Citations
URL
Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks
Xiaotian Jiang
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Quan Wang
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Peng Li
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Bin Wang
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Joint Learning of Local and Global Features for Entity Linking via Neural Networks
Thien Huu Nguyen
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Nicolas Fauceglia
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Mariano Rodriguez Muro
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Oktie Hassanzadeh
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Alfio Massimiliano Gliozzo
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Mohammad Sadoghi
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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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Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
Pankaj Gupta
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Hinrich Schütze
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Bernt Andrassy
|
Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs
Minh Nguyen
|
Thien Huu Nguyen
|
Word-Level Loss Extensions for Neural Temporal Relation Classification
Artuur Leeuwenberg
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Marie-Francine Moens
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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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Modeling Skip-Grams for Event Detection with Convolutional Neural Networks
Thien Huu Nguyen
|
Ralph Grishman
|
Convolutional Neural Network Language Models
Ngoc-Quan Pham
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German Kruszewski
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Gemma Boleda
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Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network
Ryu Iida
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Kentaro Torisawa
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Jong-Hoon Oh
|
Canasai Kruengkrai
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Julien Kloetzer
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Position-aware Attention and Supervised Data Improve Slot Filling
Yuhao Zhang
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Victor Zhong
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Danqi Chen
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Gabor Angeli
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Christopher D. Manning
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Adversarial Training for Relation Extraction
Yi Wu
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David Bamman
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Stuart Russell
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Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
Lifu Huang
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Avirup Sil
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Heng Ji
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Radu Florian
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Large-scale Exploration of Neural Relation Classification Architectures
Hoang-Quynh Le
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Duy-Cat Can
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Sinh T. Vu
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Thanh Hai Dang
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Mohammad Taher Pilehvar
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Nigel Collier
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Similar but not the Same: Word Sense Disambiguation Improves Event Detection via Neural Representation Matching
Weiyi Lu
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Thien Huu Nguyen
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Neural Temporal Relation Extraction
Dmitriy Dligach
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Timothy Miller
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Chen Lin
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Steven Bethard
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Guergana Savova
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Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging
Boliang Zhang
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Di Lu
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Xiaoman Pan
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Ying Lin
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Halidanmu Abudukelimu
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Heng Ji
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Kevin Knight
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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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Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text
Desh Raj
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Sunil Sahu
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Ashish Anand
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A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database
Matthew Shardlow
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Nhung Nguyen
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Gareth Owen
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Claire O’Donovan
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Andrew Leach
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John McNaught
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Steve Turner
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Sophia Ananiadou
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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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Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models
Zhao Meng
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Lili Mou
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Zhi Jin
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Joint Event Extraction via Recurrent Neural Networks
Thien Huu Nguyen
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Kyunghyun Cho
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Ralph Grishman
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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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Joint Bootstrapping Machines for High Confidence Relation Extraction
Pankaj Gupta
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Benjamin Roth
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Hinrich Schütze
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Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
Thien Huu Nguyen
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Barbara Plank
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Ralph Grishman
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Event Detection and Domain Adaptation with Convolutional Neural Networks
Thien Huu Nguyen
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Ralph Grishman
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WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
Daniel Hewlett
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Alexandre Lacoste
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Llion Jones
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Illia Polosukhin
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Andrew Fandrianto
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Jay Han
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Matthew Kelcey
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David Berthelot
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A Walk-based Model on Entity Graphs for Relation Extraction
Fenia Christopoulou
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Makoto Miwa
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Sophia Ananiadou
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MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
Ji Young Lee
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Franck Dernoncourt
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Peter Szolovits
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ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction
Jonathan Rotsztejn
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Nora Hollenstein
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Ce Zhang
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LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification
Tyler Renslow
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Günter Neumann
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OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers Using Piecewise Convolutional Neural Networks
Dushyanta Dhyani
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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
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Lilja Øvrelid
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Jan Tore Lønning
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Bf3R at SemEval-2018 Task 7: Evaluating Two Relation Extraction Tools for Finding Semantic Relations in Biomedical Abstracts
Mariana Neves
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Daniel Butzke
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Gilbert Schönfelder
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Barbara Grune
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Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks
Bhanu Pratap
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Daniel Shank
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Oladipo Ositelu
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Byron Galbraith
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Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models
Zhuang Li
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Lizhen Qu
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Qiongkai Xu
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Mark Johnson
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Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Dat Quoc Nguyen
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Karin Verspoor
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Crowdsourcing Semantic Label Propagation in Relation Classification
Anca Dumitrache
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Lora Aroyo
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Chris Welty
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A Case Study on Learning a Unified Encoder of Relations
Lisheng Fu
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Bonan Min
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Thien Huu Nguyen
|
Ralph Grishman
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https://code.google.com/p/word2vec/
http://docs.google.com/View?id=dfvxd49s
http://mallet.cs.umass.edu/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Semantic Parsing
Semantic Similarity
Information Extraction
Relation Extraction
Sentiment Analysis
Question Answering
Language
English
Dataset
News
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