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Entailment above the word level in distributional semantics
Marco Baroni
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Raffaella Bernardi
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Ngoc-Quynh Do
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Chung-chieh Shan
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Paper Details:
Month: April
Year: 2012
Location: Avignon, France
Venue:
EACL |
Citations
URL
Inclusive yet Selective: Supervised Distributional Hypernymy Detection
Stephen Roller
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Katrin Erk
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Gemma Boleda
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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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Distributional Hypernym Generation by Jointly Learning Clusters and Projections
Josuke Yamane
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Tomoya Takatani
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Hitoshi Yamada
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Makoto Miwa
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Yutaka Sasaki
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CNN- and LSTM-based Claim Classification in Online User Comments
Chinnappa Guggilla
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Tristan Miller
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Iryna Gurevych
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Embedding WordNet Knowledge for Textual Entailment
Yunshi Lan
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Jing Jiang
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Relation Induction in Word Embeddings Revisited
Zied Bouraoui
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Shoaib Jameel
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Steven Schockaert
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Exploratory Neural Relation Classification for Domain Knowledge Acquisition
Yan Fan
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Chengyu Wang
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Xiaofeng He
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Building a shared world: mapping distributional to model-theoretic semantic spaces
Aurélie Herbelot
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Eva Maria Vecchi
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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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Supervised Distributional Hypernym Discovery via Domain Adaptation
Luis Espinosa-Anke
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Jose Camacho-Collados
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Claudio Delli Bovi
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Horacio Saggion
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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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Learning Fine-grained Relations from Chinese User Generated Categories
Chengyu Wang
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Yan Fan
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Xiaofeng He
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Aoying Zhou
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Distributional Lexical Entailment by Topic Coherence
Laura Rimell
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Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection
Vered Shwartz
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Enrico Santus
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Dominik Schlechtweg
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Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
Kim Anh Nguyen
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Sabine Schulte im Walde
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Ngoc Thang Vu
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Instances and concepts in distributional space
Gemma Boleda
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Abhijeet Gupta
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Sebastian Padó
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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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Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic
Wei-Chung Wang
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Lun-Wei Ku
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Formal Distributional Semantics: Introduction to the Special Issue
Gemma Boleda
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Aurélie Herbelot
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Representing Meaning with a Combination of Logical and Distributional Models
I. Beltagy
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Stephen Roller
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Pengxiang Cheng
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Katrin Erk
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Raymond J. Mooney
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HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment
Ivan Vulić
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Daniela Gerz
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Douwe Kiela
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Felix Hill
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Anna Korhonen
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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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Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding
Shoaib Jameel
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Steven Schockaert
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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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Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment
Yogarshi Vyas
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Marine Carpuat
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Specialising Word Vectors for Lexical Entailment
Ivan Vulić
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Nikola Mrkšić
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Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model
Goran Glavaš
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Ivan Vulić
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A relatedness benchmark to test the role of determiners in compositional distributional semantics
Raffaella Bernardi
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Georgiana Dinu
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Marco Marelli
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Marco Baroni
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Measuring semantic content in distributional vectors
Aurélie Herbelot
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Mohan Ganesalingam
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Metaphor Detection with Cross-Lingual Model Transfer
Yulia Tsvetkov
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Leonid Boytsov
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Anatole Gershman
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Eric Nyberg
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Chris Dyer
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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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Most “babies” are “little” and most “problems” are “huge”: Compositional Entailment in Adjective-Nouns
Ellie Pavlick
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Chris Callison-Burch
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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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Multimodal Word Distributions
Ben Athiwaratkun
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Andrew Wilson
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Unsupervised Learning of Distributional Relation Vectors
Shoaib Jameel
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Zied Bouraoui
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Steven Schockaert
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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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Combined Distributional and Logical Semantics
Mike Lewis
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Mark Steedman
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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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A Hybrid System to apply Natural Language Inference over Dependency Trees
Ali Almiman
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Allan Ramsay
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Dead parrots make bad pets: Exploring modifier effects in noun phrases
Germán Kruszewski
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Marco Baroni
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Quantificational features in distributional word representations
Tal Linzen
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Emmanuel Dupoux
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Benjamin Spector
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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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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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CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery
Gabriel Bernier-Colborne
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Caroline Barrière
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UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes?
Alexander Zhang
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Marine Carpuat
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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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Term Definitions Help Hypernymy Detection
Wenpeng Yin
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Dan Roth
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Looking for Hyponyms in Vector Space
Marek Rei
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Ted Briscoe
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Distributional Semantics in Use
Raffaella Bernardi
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Gemma Boleda
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Raquel Fernández
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Denis Paperno
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Recursive Neural Networks Can Learn Logical Semantics
Samuel R. Bowman
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Christopher Potts
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Christopher D. Manning
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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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CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks
Chinnappa Guggilla
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A Consolidated Open Knowledge Representation for Multiple Texts
Rachel Wities
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Vered Shwartz
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Gabriel Stanovsky
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Meni Adler
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Ori Shapira
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Shyam Upadhyay
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Dan Roth
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Eugenio Martinez Camara
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Iryna Gurevych
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Ido Dagan
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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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Finding The Best Model Among Representative Compositional Models
Masayasu Muraoka
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Sonse Shimaoka
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Kazeto Yamamoto
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Yotaro Watanabe
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Naoaki Okazaki
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Kentaro Inui
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http://www.natcorp
Field Of Study
Linguistic Trends
Lexical Semantics
Ontologies
Task
Textual Entailment
Information Retrieval
Language
English
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