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SemEval-2012 Task 2: Measuring Degrees of Relational Similarity
David Jurgens
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Saif Mohammad
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Peter Turney
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Keith Holyoak
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Paper Details:
Month: 7-8 June
Year: 2012
Location: Montréal, Canada
Venue:
*SEMEVAL |
Citations
URL
Inducing Latent Semantic Relations for Structured Distributional Semantics
Sujay Kumar Jauhar
|
Eduard Hovy
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Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy
Motoki Sano
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Kentaro Torisawa
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Julien Kloetzer
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Chikara Hashimoto
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István Varga
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Jong-Hoon Oh
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Multi-Relational Latent Semantic Analysis
Kai-Wei Chang
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Wen-tau Yih
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Christopher Meek
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Linguistic Regularities in Continuous Space Word Representations
Tomas Mikolov
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Wen-tau Yih
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Geoffrey Zweig
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Combining Heterogeneous Models for Measuring Relational Similarity
Alisa Zhila
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Wen-tau Yih
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Christopher Meek
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Geoffrey Zweig
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Tomas Mikolov
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Question Answering Using Enhanced Lexical Semantic Models
Wen-tau Yih
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Ming-Wei Chang
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Christopher Meek
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Andrzej Pastusiak
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Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
Ekaterina Vylomova
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Laura Rimell
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Trevor Cohn
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Timothy Baldwin
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UTD: Determining Relational Similarity Using Lexical Patterns
Bryan Rink
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Sanda Harabagiu
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Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness
Ted Pedersen
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BUAP: A First Approximation to Relational Similarity Measuring
Mireya Tovar
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J. Alejandro Reyes
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Azucena Montes
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Darnes Vilariño
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David Pinto
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Saul León
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SemEval-2014 Task 3: Cross-Level Semantic Similarity
David Jurgens
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Mohammad Taher Pilehvar
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Roberto Navigli
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Reading Between the Lines: Overcoming Data Sparsity for Accurate Classification of Lexical Relationships
Silvia Necşulescu
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Sara Mendes
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David Jurgens
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Núria Bel
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Roberto Navigli
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SemEval-2015 Task 10: Sentiment Analysis in Twitter
Sara Rosenthal
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Preslav Nakov
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Svetlana Kiritchenko
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Saif Mohammad
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Alan Ritter
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Veselin Stoyanov
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The (too Many) Problems of Analogical Reasoning with Word Vectors
Anna Rogers
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Aleksandr Drozd
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Bofang Li
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Linguistic Regularities in Sparse and Explicit Word Representations
Omer Levy
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Yoav Goldberg
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Measuring Similarity from Word Pair Matrices with Syntagmatic and Paradigmatic Associations
Jin Matsuoka
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Yves Lepage
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https://sites.google.com/site/semeval2012task2/
https://www.mturk.com/
http://creativecommons.org/licenses/by/3.0/
http://www.wumpus-search.org/
Field Of Study
Task
Semantic Similarity
Information Extraction
Paraphrasing
Biomedical
Approach
Generative Model
Unsupervised Learning
Language
English
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