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Latent Vector Weighting for Word Meaning in Context
Tim Van de Cruys
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Thierry Poibeau
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Anna Korhonen
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Paper Details:
Month: July
Year: 2011
Location: Edinburgh, Scotland, UK.
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
A Probabilistic Model for Learning Multi-Prototype Word Embeddings
Fei Tian
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Hanjun Dai
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Jiang Bian
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Bin Gao
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Rui Zhang
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Enhong Chen
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Tie-Yan Liu
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What Substitutes Tell Us - Analysis of an “All-Words” Lexical Substitution Corpus
Gerhard Kremer
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Katrin Erk
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Sebastian Padó
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Stefan Thater
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Measuring Word Meaning in Context
Katrin Erk
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Diana McCarthy
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Nicholas Gaylord
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A comparison of models of word meaning in context
Georgiana Dinu
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Stefan Thater
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Soeren Laue
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Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models
Sujay Kumar Jauhar
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Chris Dyer
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Eduard Hovy
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PIC a Different Word: A Simple Model for Lexical Substitution in Context
Stephen Roller
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Katrin Erk
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SemEval-2013 Task 5: Evaluating Phrasal Semantics
Ioannis Korkontzelos
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Torsten Zesch
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Fabio Massimo Zanzotto
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Chris Biemann
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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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A Hybrid Distributional and Knowledge-based Model of Lexical Semantics
Nikolaos Aletras
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Mark Stevenson
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Towards Dynamic Word Sense Discrimination with Random Indexing
Hans Moen
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Erwin Marsi
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Björn Gambäck
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Distributional Composition using Higher-Order Dependency Vectors
Julie Weeds
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David Weir
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Jeremy Reffin
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http://maltparser.org/mco/english_
Field Of Study
Task
Word Sense Disambiguation
Semantic Similarity
Information Retrieval
Language
English
French
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