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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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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
Predicting the Evocation Relation between Lexicalized Concepts
Yoshihiko Hayashi
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KnowYourNyms? A Game of Semantic Relationships
Ross Mechanic
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Dean Fulgoni
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Hannah Cutler
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Sneha Rajana
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Zheyuan Liu
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Bradley Jackson
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Anne Cocos
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Chris Callison-Burch
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Marianna Apidianaki
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How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis
Ivan Sanchez
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Sebastian Riedel
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Negative Sampling Improves Hypernymy Extraction Based on Projection Learning
Dmitry Ustalov
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Nikolay Arefyev
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Chris Biemann
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Alexander Panchenko
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Towards producing bilingual lexica from monolingual corpora
Jingyi Han
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Núria Bel
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Improving Hypernymy Extraction with Distributional Semantic Classes
Alexander Panchenko
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Dmitry Ustalov
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Stefano Faralli
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Simone P. Ponzetto
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Chris Biemann
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Comparing Constraints for Taxonomic Organization
Anne Cocos
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Marianna Apidianaki
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Chris Callison-Burch
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Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations
Koki Washio
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Tsuneaki Kato
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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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A Vector Space for Distributional Semantics for Entailment
James Henderson
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Diana Popa
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Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment
Tu Vu
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Vered Shwartz
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Mapping Unseen Words to Task-Trained Embedding Spaces
Pranava Swaroop Madhyastha
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations
Vered Shwartz
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Ido Dagan
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CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations
Vered Shwartz
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Ido Dagan
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Classifying Lexical-semantic Relationships by Exploiting Sense/Concept Representations
Kentaro Kanada
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Tetsunori Kobayashi
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Yoshihiko Hayashi
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