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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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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
Evaluation methods for unsupervised word embeddings
Tobias Schnabel
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Igor Labutov
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David Mimno
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Thorsten Joachims
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Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network
Anh Tuan Luu
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Yi Tay
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Siu Cheung Hui
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See Kiong Ng
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Exploring Vector Spaces for Semantic Relations
Kata Gábor
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Haïfa Zargayouna
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Isabelle Tellier
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Davide Buscaldi
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Thierry Charnois
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Detecting Optional Arguments of Verbs
András Kornai
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Dávid Márk Nemeskey
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Gábor Recski
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Nine Features in a Random Forest to Learn Taxonomical Semantic Relations
Enrico Santus
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Alessandro Lenci
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Tin-Shing Chiu
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Qin Lu
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Chu-Ren Huang
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Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives
Roy Schwartz
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Roi Reichart
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Ari Rappoport
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Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
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Swabha Swayamdipta
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Omer Levy
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Roy Schwartz
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Samuel Bowman
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Noah A. Smith
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Improving Hypernymy Detection with an Integrated Path-based and Distributional Method
Vered Shwartz
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Yoav Goldberg
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Ido Dagan
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SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)
Georgeta Bordea
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Els Lefever
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Paul Buitelaar
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Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection
Yogarshi Vyas
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Marine Carpuat
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Prediction of Frame-to-Frame Relations in the FrameNet Hierarchy with Frame Embeddings
Teresa Botschen
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Hatem Mousselly-Sergieh
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Iryna Gurevych
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Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches
Mouna Kamel
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Cassia Trojahn
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Adel Ghamnia
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Nathalie Aussenac-Gilles
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Cécile Fabre
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http://u.cs.biu.ac.il/~nlp/resources/
http://bitbucket.org/yoavgo/word2vecf
http://jobimtext.org
Field Of Study
Task
Information Retrieval
Language
English
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