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Focused Entailment Graphs for Open IE Propositions
Omer Levy
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Ido Dagan
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Jacob Goldberger
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Paper Details:
Month: June
Year: 2014
Location: Ann Arbor, Michigan
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
A large annotated corpus for learning natural language inference
Samuel R. Bowman
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Gabor Angeli
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Christopher Potts
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Christopher D. Manning
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RELLY: Inferring Hypernym Relationships Between Relational Phrases
Adam Grycner
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Gerhard Weikum
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Jay Pujara
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James Foulds
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Lise Getoor
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Building an Evaluation Scale using Item Response Theory
John Lalor
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Hao Wu
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Hong Yu
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A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances
Chengyu Wang
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Xiaofeng He
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Aoying Zhou
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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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Learning to Exploit Structured Resources for Lexical Inference
Vered Shwartz
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Omer Levy
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Ido Dagan
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Jacob Goldberger
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Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations
Maria Sukhareva
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Judith Eckle-Kohler
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Ivan Habernal
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Iryna Gurevych
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TEG-REP: A corpus of Textual Entailment Graphs based on Relation Extraction Patterns
Kathrin Eichler
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Feiyu Xu
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Hans Uszkoreit
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Leonhard Hennig
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Sebastian Krause
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Do Supervised Distributional Methods Really Learn Lexical Inference Relations?
Omer Levy
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Steffen Remus
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Chris Biemann
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Ido Dagan
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A Vector Space for Distributional Semantics for Entailment
James Henderson
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Diana Popa
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Adding Context to Semantic Data-Driven Paraphrasing
Vered Shwartz
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Ido Dagan
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Generating Pattern-Based Entailment Graphs for Relation Extraction
Kathrin Eichler
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Feiyu Xu
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Hans Uszkoreit
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Sebastian Krause
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No URLs Found
Field Of Study
Linguistic Trends
Lexical Semantics
Task
Textual Entailment
Information Extraction
Relation Extraction
Language
English
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