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Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
Ichiro Yamada
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Kentaro Torisawa
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Jun’ichi Kazama
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Kow Kuroda
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Masaki Murata
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Stijn De Saeger
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Francis Bond
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Asuka Sumida
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Paper Details:
Month: August
Year: 2009
Location: Singapore
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
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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Network Features Based Co-hyponymy Detection
Abhik Jana
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Pawan Goyal
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Tel(s)-Telle(s)-Signs: Highly Accurate Automatic Crosslingual Hypernym Discovery
Ada Wan
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Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines
Guido Boella
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Luigi Di Caro
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Structured Learning for Taxonomy Induction with Belief Propagation
Mohit Bansal
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David Burkett
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Gerard de Melo
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Dan Klein
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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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End-to-End Reinforcement Learning for Automatic Taxonomy Induction
Yuning Mao
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Xiang Ren
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Jiaming Shen
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Xiaotao Gu
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Jiawei Han
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Discovering Hypernymy Relations using Text Layout
Jean-Philippe Fauconnier
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Mouna Kamel
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Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities
Jackie Chi Kit Cheung
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Wordnet extension via word embeddings: Experiments on the Norwegian Wordnet
Heidi Sand
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Erik Velldal
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Lilja Øvrelid
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No URLs Found
Field Of Study
Task
Information Retrieval
Language
Japanese
Dataset
News
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