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Learning to Distinguish Hypernyms and Co-Hyponyms
Julie Weeds
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Daoud Clarke
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Jeremy Reffin
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David Weir
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Bill Keller
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
COLING |
Citations
URL
Relation Induction in Word Embeddings Revisited
Zied Bouraoui
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Shoaib Jameel
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Steven Schockaert
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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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Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment
Stephen Roller
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Katrin Erk
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Hierarchical Embeddings for Hypernymy Detection and Directionality
Kim Anh Nguyen
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Maximilian Köper
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Sabine Schulte im Walde
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Ngoc Thang Vu
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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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Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations
Goran Glavaš
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Simone Paolo Ponzetto
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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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A Framework for Cross-lingual/Node-wise Alignment of Lexical-Semantic Resources
Yoshihiko Hayashi
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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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Undersampling Improves Hypernymy Prototypicality Learning
Koki Washio
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Tsuneaki Kato
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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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Specialising Word Vectors for Lexical Entailment
Ivan Vulić
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Nikola Mrkšić
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Exploiting Image Generality for Lexical Entailment Detection
Douwe Kiela
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Laura Rimell
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Ivan Vulić
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Stephen Clark
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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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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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Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora
Stephen Roller
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Douwe Kiela
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Maximilian Nickel
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Scoring Lexical Entailment with a Supervised Directional Similarity Network
Marek Rei
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Daniela Gerz
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Ivan Vulić
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Deriving Boolean structures from distributional vectors
German Kruszewski
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Denis Paperno
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Marco Baroni
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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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SemEval-2018 Task 9: Hypernym Discovery
Jose Camacho-Collados
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Claudio Delli Bovi
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Luis Espinosa-Anke
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Sergio Oramas
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Tommaso Pasini
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Enrico Santus
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Vered Shwartz
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Roberto Navigli
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Horacio Saggion
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Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies
Mihaela Onofrei
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Ionuț Hulub
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Diana Trandabăț
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Daniela Gîfu
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EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery
Ahmad Issa Alaa Aldine
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Mounira Harzallah
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Giuseppe Berio
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Nicolas Béchet
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Ahmad Faour
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Term Definitions Help Hypernymy Detection
Wenpeng Yin
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Dan Roth
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The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations
Enrico Santus
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Anna Gladkova
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Stefan Evert
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Alessandro Lenci
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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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CogALex-V Shared Task: ROOT18
Emmanuele Chersoni
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Giulia Rambelli
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Enrico Santus
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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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WordNet Embeddings
Chakaveh Saedi
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António Branco
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João António Rodrigues
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João Silva
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http://creativecommons.org/licenses/by/4.0/
https://github.com/SussexCompSem/learninghypernyms
https://github.com/yohasebe/wp2txt
https://github.com/SussexCompSem/learninghypernyms
Field Of Study
Linguistic Trends
Distributional Semantics
Ontologies
Task
Textual Entailment
Semantic Similarity
Event Detection
Language
English
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