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Learning Semantic Hierarchies via Word Embeddings
Ruiji Fu
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Jiang Guo
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Bing Qin
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Extracting Discriminative Keyphrases with Learned Semantic Hierarchies
Yunli Wang
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Yong Jin
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Xiaodan Zhu
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Cyril Goutte
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Chinese Hypernym-Hyponym Extraction from User Generated Categories
Chengyu Wang
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Xiaofeng He
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Predicting the Evocation Relation between Lexicalized Concepts
Yoshihiko Hayashi
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Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning
Luis Espinosa-Anke
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Jose Camacho-Collados
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Sara Rodríguez-Fernández
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Horacio Saggion
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Leo Wanner
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Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction
Anh Tuan Luu
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Jung-jae Kim
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See Kiong Ng
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Measuring Prerequisite Relations Among Concepts
Chen Liang
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Zhaohui Wu
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Wenyi Huang
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C. Lee Giles
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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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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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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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Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings
Hong-You Chen
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Cheng-Syuan Lee
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Keng-Te Liao
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Shou-De Lin
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BabelDomains: Large-Scale Domain Labeling of Lexical Resources
Jose Camacho-Collados
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Roberto Navigli
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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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Negative Sampling Improves Hypernymy Extraction Based on Projection Learning
Dmitry Ustalov
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Nikolay Arefyev
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Chris Biemann
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Alexander Panchenko
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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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Example-based Acquisition of Fine-grained Collocation Resources
Sara Rodríguez-Fernández
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Roberto Carlini
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Luis Espinosa Anke
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Leo Wanner
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Network Features Based Co-hyponymy Detection
Abhik Jana
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Pawan Goyal
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A Corpus to Learn Refer-to-as Relations for Nominals
Wasi Ahmad
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Kai-Wei Chang
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Improving Hypernymy Extraction with Distributional Semantic Classes
Alexander Panchenko
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Dmitry Ustalov
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Stefano Faralli
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Simone P. Ponzetto
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Chris Biemann
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A supervised approach to taxonomy extraction using word embeddings
Rajdeep Sarkar
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John P. McCrae
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Paul Buitelaar
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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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Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model
Goran Glavaš
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Ivan Vulić
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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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Learning Concept Taxonomies from Multi-modal Data
Hao Zhang
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Zhiting Hu
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Yuntian Deng
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Mrinmaya Sachan
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Zhicheng Yan
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Eric Xing
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Semantics-Driven Recognition of Collocations Using Word Embeddings
Sara Rodríguez-Fernández
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Luis Espinosa-Anke
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Roberto Carlini
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Leo Wanner
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Transductive Non-linear Learning for Chinese Hypernym Prediction
Chengyu Wang
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Junchi Yan
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Aoying Zhou
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Xiaofeng He
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A Deep Relevance Model for Zero-Shot Document Filtering
Chenliang Li
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Wei Zhou
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Feng Ji
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Yu Duan
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Haiqing Chen
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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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Reading Between the Lines: Overcoming Data Sparsity for Accurate Classification of Lexical Relationships
Silvia Necşulescu
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Sara Mendes
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David Jurgens
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Núria Bel
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Roberto Navigli
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USAAR-WLV: Hypernym Generation with Deep Neural Nets
Liling Tan
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Rohit Gupta
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Josef van Genabith
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TALN-UPF: Taxonomy Learning Exploiting CRF-Based Hypernym Extraction on Encyclopedic Definitions
Luis Espinosa-Anke
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Horacio Saggion
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Francesco Ronzano
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The (too Many) Problems of Analogical Reasoning with Word Vectors
Anna Rogers
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Aleksandr Drozd
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Bofang Li
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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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NLP_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach
Wei Qiu
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Mosha Chen
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Linlin Li
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Luo Si
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Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings
Pia Sommerauer
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Antske Fokkens
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Piek Vossen
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UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones
Ignacio Arroyo-Fernández
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Ivan Meza
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Carlos-Francisco Méndez-Cruz
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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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Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations
José Camacho-Collados
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Roberto Navigli
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Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP
Kirk Roberts
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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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Classifying Lexical-semantic Relationships by Exploiting Sense/Concept Representations
Kentaro Kanada
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Tetsunori Kobayashi
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Yoshihiko Hayashi
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Ontologies
Task
Chunking
Named Entity Recognition
Relation Extraction
Sentiment Analysis
Question Answering
Approach
Semi-supervised Learning
Language
Chinese
English
Dataset
News
Encyclopedia
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