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Not All Contexts Are Created Equal: Better Word Representations with Variable Attention
Wang Ling
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Yulia Tsvetkov
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Silvio Amir
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Ramón Fermandez
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Chris Dyer
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Alan W Black
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Isabel Trancoso
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Chu-Cheng Lin
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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Distance Metric Learning for Aspect Phrase Grouping
Shufeng Xiong
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Yue Zhang
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Donghong Ji
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Yinxia Lou
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Robust Lexical Features for Improved Neural Network Named-Entity Recognition
Abbas Ghaddar
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Phillippe Langlais
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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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Evaluation of Word Vector Representations by Subspace Alignment
Yulia Tsvetkov
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Manaal Faruqui
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Wang Ling
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Guillaume Lample
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Chris Dyer
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WordRank: Learning Word Embeddings via Robust Ranking
Shihao Ji
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Hyokun Yun
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Pinar Yanardag
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Shin Matsushima
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S. V. N. Vishwanathan
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Bib2vec: Embedding-based Search System for Bibliographic Information
Takuma Yoneda
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Koki Mori
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Makoto Miwa
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Yutaka Sasaki
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Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations
Noriki Nishida
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Hideki Nakayama
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Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields
Fei Liu
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Timothy Baldwin
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Trevor Cohn
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Redefining part-of-speech classes with distributional semantic models
Andrey Kutuzov
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Erik Velldal
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Lilja Øvrelid
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Automatic Selection of Context Configurations for Improved Class-Specific Word Representations
Ivan Vulić
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Roy Schwartz
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Ari Rappoport
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Roi Reichart
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Anna Korhonen
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Embedded-State Latent Conditional Random Fields for Sequence Labeling
Dung Thai
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Sree Harsha Ramesh
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Shikhar Murty
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Luke Vilnis
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Andrew McCallum
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Neural Architectures for Named Entity Recognition
Guillaume Lample
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Miguel Ballesteros
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Sandeep Subramanian
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Kazuya Kawakami
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Chris Dyer
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Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Yan Song
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Shuming Shi
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Jing Li
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Haisong Zhang
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CSE: Conceptual Sentence Embeddings based on Attention Model
Yashen Wang
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Heyan Huang
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Chong Feng
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Qiang Zhou
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Jiahui Gu
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Xiong Gao
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Gated Self-Matching Networks for Reading Comprehension and Question Answering
Wenhui Wang
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Nan Yang
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Furu Wei
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Baobao Chang
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Ming Zhou
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Learning Word Importance with the Neural Bag-of-Words Model
Imran Sheikh
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Irina Illina
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Dominique Fohr
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Georges Linarès
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A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations
Waseem Gharbieh
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Virendra Bhavsar
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Paul Cook
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Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov
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Manaal Faruqui
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Chris Dyer
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Reconstruction of Word Embeddings from Sub-Word Parameters
Karl Stratos
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Sentiment Analysis
Language
English
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