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A Unified Model for Word Sense Representation and Disambiguation
Xinxiong Chen
|
Zhiyuan Liu
|
Maosong Sun
|
Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Semi Supervised Preposition-Sense Disambiguation using Multilingual Data
Hila Gonen
|
Yoav Goldberg
|
Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover’s Distance Regularization
Meng Zhang
|
Yang Liu
|
Huanbo Luan
|
Yiqun Liu
|
Maosong Sun
|
Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning
Luis Espinosa-Anke
|
Jose Camacho-Collados
|
Sara Rodríguez-Fernández
|
Horacio Saggion
|
Leo Wanner
|
LanguageNet: Learning to Find Sense Relevant Example Sentences
Shang-Chien Cheng
|
Jhih-Jie Chen
|
Chingyu Yang
|
Jason Chang
|
Online Learning of Interpretable Word Embeddings
Hongyin Luo
|
Zhiyuan Liu
|
Huanbo Luan
|
Maosong Sun
|
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li
|
Dan Jurafsky
|
Context-Dependent Sense Embedding
Lin Qiu
|
Kewei Tu
|
Yong Yu
|
Neural Sequence Learning Models for Word Sense Disambiguation
Alessandro Raganato
|
Claudio Delli Bovi
|
Roberto Navigli
|
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc
|
Pascal Vincent
|
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources
Gabriel Stanovsky
|
Mark Hopkins
|
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research
Haim Dubossarsky
|
Eitan Grossman
|
Daphna Weinshall
|
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
Alexander Panchenko
|
Eugen Ruppert
|
Stefano Faralli
|
Simone Paolo Ponzetto
|
Chris Biemann
|
Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison
Alessandro Raganato
|
Jose Camacho-Collados
|
Roberto Navigli
|
ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing
Andrei Butnaru
|
Radu Tudor Ionescu
|
Florentina Hristea
|
On Modeling Sense Relatedness in Multi-prototype Word Embedding
Yixin Cao
|
Jiaxin Shi
|
Juanzi Li
|
Zhiyuan Liu
|
Chengjiang Li
|
Training Word Sense Embeddings With Lexicon-based Regularization
Luis Nieto-Piña
|
Richard Johansson
|
AutoExtend: Combining Word Embeddings with Semantic Resources
Sascha Rothe
|
Hinrich Schütze
|
context2vec: Learning Generic Context Embedding with Bidirectional LSTM
Oren Melamud
|
Jacob Goldberger
|
Ido Dagan
|
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini
|
Jose Camacho-Collados
|
Ignacio Iacobacci
|
Roberto Navigli
|
Multi-prototype Chinese Character Embedding
Yanan Lu
|
Yue Zhang
|
Donghong Ji
|
Addressing the MFS Bias in WSD systems
Marten Postma
|
Ruben Izquierdo
|
Eneko Agirre
|
German Rigau
|
Piek Vossen
|
A Large-Scale Multilingual Disambiguation of Glosses
José Camacho-Collados
|
Claudio Delli Bovi
|
Alessandro Raganato
|
Roberto Navigli
|
Cross-Lingual Generation and Evaluation of a Wide-Coverage Lexical Semantic Resource
Attila Novák
|
Borbála Novák
|
UFSAC: Unification of Sense Annotated Corpora and Tools
Loïc Vial
|
Benjamin Lecouteux
|
Didier Schwab
|
Automatic Thesaurus Construction for Modern Hebrew
Chaya Liebeskind
|
Ido Dagan
|
Jonathan Schler
|
Unsupervised Most Frequent Sense Detection using Word Embeddings
Sudha Bhingardive
|
Dhirendra Singh
|
Rudramurthy V
|
Hanumant Redkar
|
Pushpak Bhattacharyya
|
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Šuster
|
Ivan Titov
|
Gertjan van Noord
|
Handling Homographs in Neural Machine Translation
Frederick Liu
|
Han Lu
|
Graham Neubig
|
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
Ignacio Iacobacci
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
A Unified Multilingual Semantic Representation of Concepts
José Camacho-Collados
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Entity Hierarchy Embedding
Zhiting Hu
|
Poyao Huang
|
Yuntian Deng
|
Yingkai Gao
|
Eric Xing
|
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
Sascha Rothe
|
Hinrich Schütze
|
Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering
Tao Chen
|
Ruifeng Xu
|
Yulan He
|
Xuan Wang
|
Embeddings for Word Sense Disambiguation: An Evaluation Study
Ignacio Iacobacci
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
Andrew Bennett
|
Timothy Baldwin
|
Jey Han Lau
|
Diana McCarthy
|
Francis Bond
|
Learning Text Pair Similarity with Context-sensitive Autoencoders
Hadi Amiri
|
Philip Resnik
|
Jordan Boyd-Graber
|
Hal Daumé III
|
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova
|
Iryna Gurevych
|
On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Models
Steffen Eger
|
Alexander Mehler
|
Multimodal Word Distributions
Ben Athiwaratkun
|
Andrew Wilson
|
Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar
|
Jose Camacho-Collados
|
Roberto Navigli
|
Nigel Collier
|
Improved Word Representation Learning with Sememes
Yilin Niu
|
Ruobing Xie
|
Zhiyuan Liu
|
Maosong Sun
|
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Pradeep Dasigi
|
Waleed Ammar
|
Chris Dyer
|
Eduard Hovy
|
Incorporating Glosses into Neural Word Sense Disambiguation
Fuli Luo
|
Tianyu Liu
|
Qiaolin Xia
|
Baobao Chang
|
Zhifang Sui
|
A Simple and Efficient Method to Generate Word Sense Representations
Luis Nieto Piña
|
Richard Johansson
|
Word Sense Disambiguation with Recurrent Neural Networks
Alexander Popov
|
Sense Embedding Learning for Word Sense Induction
Linfeng Song
|
Zhiguo Wang
|
Haitao Mi
|
Daniel Gildea
|
A Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen
|
Dat Quoc Nguyen
|
Ashutosh Modi
|
Stefan Thater
|
Manfred Pinkal
|
BuzzSaw at SemEval-2017 Task 7: Global vs. Local Context for Interpreting and Locating Homographic English Puns with Sense Embeddings
Dieke Oele
|
Kilian Evang
|
Using Word Embeddings for Bilingual Unsupervised WSD
Sudha Bhingardive
|
Dhirendra Singh
|
Rudramurthy V
|
Pushpak Bhattacharyya
|
Embedding Senses for Efficient Graph-based Word Sense Disambiguation
Luis Nieto Piña
|
Richard Johansson
|
Improved Semantic Representation for Domain-Specific Entities
Mohammad Taher Pilehvar
|
Nigel Collier
|
Semantic Indexing of Multilingual Corpora and its Application on the History Domain
Alessandro Raganato
|
Jose Camacho-Collados
|
Antonio Raganato
|
Yunseo Joung
|
A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
Hong Jin Kang
|
Tao Chen
|
Muthu Kumar Chandrasekaran
|
Min-Yen Kan
|
Integrating WordNet for Multiple Sense Embeddings in Vector Semantics
David Foley
|
Jugal Kalita
|
One Representation per Word - Does it make Sense for Composition?
Thomas Kober
|
Julie Weeds
|
John Wilkie
|
Jeremy Reffin
|
David Weir
|
Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu
|
Kevin Gimpel
|
Karen Livescu
|
Lexical Chains meet Word Embeddings in Document-level Statistical Machine Translation
Laura Mascarell
|
Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation
Dieke Oele
|
Gertjan van Noord
|
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization
Jilei Wang
|
Shiying Luo
|
Weiyan Shi
|
Tao Dai
|
Shu-Tao Xia
|
Complementary Strategies for Low Resourced Morphological Modeling
Alexander Erdmann
|
Nizar Habash
|
Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings
Yuqi Sun
|
Haoyue Shi
|
Junfeng Hu
|
Japanese all-words WSD system using the Kyoto Text Analysis ToolKit
Hiroyuki Shinnou
|
Kanako Komiya
|
Minoru Sasaki
|
Shinsuke Mori
|
http://download.wikipedia.org
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http://wordnet.princeton.edu/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Word Sense Disambiguation
Information Retrieval
Language
Chinese
English
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