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A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches
Eneko Agirre
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Enrique Alfonseca
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Keith Hall
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Jana Kravalova
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Marius Paşca
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Aitor Soroa
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Paper Details:
Month: June
Year: 2009
Location: Boulder, Colorado
Venue:
NAACL |
Citations
URL
Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches
Shuming Shi
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Huibin Zhang
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Xiaojie Yuan
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Ji-Rong Wen
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Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
Zhongwu Zhai
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Bing Liu
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Hua Xu
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Peifa Jia
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Document Expansion Based on WordNet for Robust IR
Eneko Agirre
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Xabier Arregi
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Arantxa Otegi
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A Semantic Network Approach to Measuring Relatedness
Brian Harrington
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Low-Dimensional Manifold Distributional Semantic Models
Georgia Athanasopoulou
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Elias Iosif
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Alexandros Potamianos
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A Markovian approach to distributional semantics with application to semantic compositionality
Édouard Grave
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Guillaume Obozinski
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Francis Bach
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Predicting human similarity judgments with distributional models: The value of word associations.
Simon De Deyne
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Amy Perfors
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Daniel J Navarro
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Improved Word Embeddings with Implicit Structure Information
Jie Shen
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Cong Liu
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DISCO: A System Leveraging Semantic Search in Document Review
Ngoc Phuoc An Vo
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Fabien Guillot
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Caroline Privault
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What’s in Your Embedding, And How It Predicts Task Performance
Anna Rogers
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Shashwath Hosur Ananthakrishna
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Anna Rumshisky
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AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness
Gökhan Ercan
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Olcay Taner Yıldız
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A Mixture Model with Sharing for Lexical Semantics
Joseph Reisinger
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Raymond Mooney
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Approximate Scalable Bounded Space Sketch for Large Data NLP
Amit Goyal
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Hal Daumé III
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Lexical Co-occurrence, Statistical Significance, and Word Association
Dipak L. Chaudhari
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Om P. Damani
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Srivatsan Laxman
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Appropriately Incorporating Statistical Significance in PMI
Om P. Damani
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Shweta Ghonge
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Scaling to Large³ Data: An Efficient and Effective Method to Compute Distributional Thesauri
Martin Riedl
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Chris Biemann
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Multi-Relational Latent Semantic Analysis
Kai-Wei Chang
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Wen-tau Yih
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Christopher Meek
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Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics
Douwe Kiela
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Léon Bottou
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Semantic Kernels for Semantic Parsing
Iman Saleh
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Alessandro Moschitti
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Preslav Nakov
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Lluís Màrquez
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Shafiq Joty
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Unsupervised Template Mining for Semantic Category Understanding
Lei Shi
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Shuming Shi
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Chin-Yew Lin
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Yi-Dong Shen
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Yong Rui
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Visual Bilingual Lexicon Induction with Transferred ConvNet Features
Douwe Kiela
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Ivan Vulić
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Stephen Clark
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A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Shaohua Li
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Jun Zhu
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Chunyan Miao
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Online Learning of Interpretable Word Embeddings
Hongyin Luo
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Zhiyuan Liu
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Huanbo Luan
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Maosong Sun
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Specializing Word Embeddings for Similarity or Relatedness
Douwe Kiela
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Felix Hill
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Stephen Clark
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WordRank: Learning Word Embeddings via Robust Ranking
Shihao Ji
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Hyokun Yun
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Pinar Yanardag
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Shin Matsushima
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S. V. N. Vishwanathan
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Robust Gram Embeddings
Taygun Kekeç
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David M. J. Tax
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Improving Sparse Word Representations with Distributional Inference for Semantic Composition
Thomas Kober
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Julie Weeds
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Jeremy Reffin
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David Weir
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Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
Emmanuele Chersoni
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Enrico Santus
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Alessandro Lenci
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Philippe Blache
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Chu-Ren Huang
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SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity
Daniela Gerz
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Ivan Vulić
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Felix Hill
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Roi Reichart
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Anna Korhonen
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Incremental Skip-gram Model with Negative Sampling
Nobuhiro Kaji
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Hayato Kobayashi
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Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
Bofang Li
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Tao Liu
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Zhe Zhao
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Buzhou Tang
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Aleksandr Drozd
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Anna Rogers
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Xiaoyong Du
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Associative Multichannel Autoencoder for Multimodal Word Representation
Shaonan Wang
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Jiajun Zhang
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Chengqing Zong
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A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images
Melissa Ailem
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Bowen Zhang
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Aurelien Bellet
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Pascal Denis
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Fei Sha
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Multi-Granular Aspect Aggregation in Aspect-Based Sentiment Analysis
John Pavlopoulos
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Ion Androutsopoulos
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Improving Vector Space Word Representations Using Multilingual Correlation
Manaal Faruqui
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Chris Dyer
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Measuring the Similarity between Automatically Generated Topics
Nikolaos Aletras
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Mark Stevenson
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The Language of Place: Semantic Value from Geospatial Context
Anne Cocos
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Chris Callison-Burch
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Geographical Evaluation of Word Embeddings
Michal Konkol
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Tomáš Brychcín
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Michal Nykl
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Tomáš Hercig
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Random Walks for Knowledge-Based Word Sense Disambiguation
Eneko Agirre
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Oier López de Lacalle
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Aitor Soroa
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A Random Walk–Based Model for Identifying Semantic Orientation
Ahmed Hassan
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Amjad Abu-Jbara
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Wanchen Lu
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Dragomir Radev
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A Large-Scale Pseudoword-Based Evaluation Framework for State-of-the-Art Word Sense Disambiguation
Mohammad Taher Pilehvar
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Roberto Navigli
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SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation
Felix Hill
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Roi Reichart
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Anna Korhonen
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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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Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
Roy Schwartz
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Roi Reichart
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Ari Rappoport
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Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini
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Jose Camacho-Collados
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Ignacio Iacobacci
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Roberto Navigli
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Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)
Trevor Cohen
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Dominic Widdows
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Exploitation of Co-reference in Distributional Semantics
Dominik Schlechtweg
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Visualisation and Exploration of High-Dimensional Distributional Features in Lexical Semantic Classification
Maximilian Köper
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Melanie Zaiß
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Qi Han
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Steffen Koch
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Sabine Schulte im Walde
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EVALution-MAN: A Chinese Dataset for the Training and Evaluation of DSMs
Liu Hongchao
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Karl Neergaard
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Enrico Santus
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Chu-Ren Huang
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MGAD: Multilingual Generation of Analogy Datasets
Mostafa Abdou
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Artur Kulmizev
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Vinit Ravishankar
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Automatic Evaluation of Topic Coherence
David Newman
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Jey Han Lau
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Karl Grieser
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Timothy Baldwin
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Multi-Prototype Vector-Space Models of Word Meaning
Joseph Reisinger
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Raymond J. Mooney
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Syntactic/Semantic Structures for Textual Entailment Recognition
Yashar Mehdad
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Alessandro Moschitti
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Fabio Massimo Zanzotto
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Measuring Word Relatedness Using Heterogeneous Vector Space Models
Wen-tau Yih
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Vahed Qazvinian
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Cross-Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses
Ivan Vulić
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Marie-Francine Moens
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Measuring Term Informativeness in Context
Zhaohui Wu
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C. Lee Giles
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Combining Heterogeneous Models for Measuring Relational Similarity
Alisa Zhila
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Wen-tau Yih
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Christopher Meek
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Geoffrey Zweig
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Tomas Mikolov
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Paving the Way to a Large-scale Pseudosense-annotated Dataset
Mohammad Taher Pilehvar
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Roberto Navigli
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Deep Multilingual Correlation for Improved Word Embeddings
Ang Lu
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Weiran Wang
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Multiview LSA: Representation Learning via Generalized CCA
Pushpendre Rastogi
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Benjamin Van Durme
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Raman Arora
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NASARI: a Novel Approach to a Semantically-Aware Representation of Items
José Camacho-Collados
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Mohammad Taher Pilehvar
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Roberto Navigli
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Random Walks and Neural Network Language Models on Knowledge Bases
Josu Goikoetxea
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Aitor Soroa
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Eneko Agirre
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Retrofitting Word Vectors to Semantic Lexicons
Manaal Faruqui
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Jesse Dodge
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Sujay Kumar Jauhar
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Chris Dyer
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Eduard Hovy
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Noah A. Smith
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Relation extraction pattern ranking using word similarity
Konstantinos Lambrou-Latreille
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Right-truncatable Neural Word Embeddings
Jun Suzuki
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Masaaki Nagata
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Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Šuster
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Ivan Titov
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Gertjan van Noord
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attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Fabio Petroni
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Vassilis Plachouras
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Timothy Nugent
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Jochen L. Leidner
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Can Network Embedding of Distributional Thesaurus Be Combined with Word Vectors for Better Representation?
Abhik Jana
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Pawan Goyal
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Querying Word Embeddings for Similarity and Relatedness
Fatemeh Torabi Asr
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Robert Zinkov
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Michael Jones
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Learning Word Embeddings for Low-Resource Languages by PU Learning
Chao Jiang
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Hsiang-Fu Yu
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Cho-Jui Hsieh
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Kai-Wei Chang
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A Deeper Look into Dependency-Based Word Embeddings
Sean MacAvaney
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Amir Zeldes
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Distributional Similarity vs. PU Learning for Entity Set Expansion
Xiao-Li Li
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Lei Zhang
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Bing Liu
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See-Kiong Ng
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Jigs and Lures: Associating Web Queries with Structured Entities
Patrick Pantel
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Ariel Fuxman
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Creating Similarity: Lateral Thinking for Vertical Similarity Judgments
Tony Veale
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Guofu Li
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Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity
Mohammad Taher Pilehvar
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David Jurgens
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Roberto Navigli
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Question Answering Using Enhanced Lexical Semantic Models
Wen-tau Yih
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Ming-Wei Chang
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Christopher Meek
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Andrzej Pastusiak
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A New Set of Norms for Semantic Relatedness Measures
Sean Szumlanski
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Fernando Gomez
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Valerie K. Sims
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Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
Marco Baroni
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Georgiana Dinu
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Germán Kruszewski
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Predicting the relevance of distributional semantic similarity with contextual information
Philippe Muller
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Cécile Fabre
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Clémentine Adam
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CoSimRank: A Flexible & Efficient Graph-Theoretic Similarity Measure
Sascha Rothe
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Hinrich Schütze
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Improving sparse word similarity models with asymmetric measures
Jean Mark Gawron
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Dependency-Based Word Embeddings
Omer Levy
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Yoav Goldberg
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Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More
Douwe Kiela
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Felix Hill
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Anna Korhonen
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Stephen Clark
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Community Evaluation and Exchange of Word Vectors at wordvectors.org
Manaal Faruqui
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Chris Dyer
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SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
Ignacio Iacobacci
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Mohammad Taher Pilehvar
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Roberto Navigli
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A Unified Multilingual Semantic Representation of Concepts
José Camacho-Collados
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Mohammad Taher Pilehvar
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Roberto Navigli
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Gaussian LDA for Topic Models with Word Embeddings
Rajarshi Das
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Manzil Zaheer
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Chris Dyer
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Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
Nghia The Pham
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Germán Kruszewski
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Angeliki Lazaridou
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Marco Baroni
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A Unified Learning Framework of Skip-Grams and Global Vectors
Jun Suzuki
|
Masaaki Nagata
|
Open IE as an Intermediate Structure for Semantic Tasks
Gabriel Stanovsky
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Ido Dagan
|
Mausam
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Non-distributional Word Vector Representations
Manaal Faruqui
|
Chris Dyer
|
Intrinsic Subspace Evaluation of Word Embedding Representations
Yadollah Yaghoobzadeh
|
Hinrich Schütze
|
Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time
Silvio Cordeiro
|
Carlos Ramisch
|
Marco Idiart
|
Aline Villavicencio
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Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova
|
Iryna Gurevych
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Riemannian Optimization for Skip-Gram Negative Sampling
Alexander Fonarev
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Oleksii Grinchuk
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Gleb Gusev
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Pavel Serdyukov
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Ivan Oseledets
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Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings
Yang Xu
|
Jiawei Liu
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Wei Yang
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Liusheng Huang
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A Rank-Based Similarity Metric for Word Embeddings
Enrico Santus
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Hongmin Wang
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Emmanuele Chersoni
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Yue Zhang
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Improving Distributional Similarity with Lessons Learned from Word Embeddings
Omer Levy
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Yoav Goldberg
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Ido Dagan
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evision PDF of 'From Paraphrase Database to Compositional Paraphrase Model and Back
John Wieting
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne
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Shashi Narayan
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Shay B. Cohen
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Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
Rotem Dror
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Gili Baumer
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Marina Bogomolov
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Roi Reichart
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Learning Representations Specialized in Spatial Knowledge: Leveraging Language and Vision
Guillem Collell
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Marie-Francine Moens
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Taxonomy Beats Corpus in Similarity Identification, but Does It Matter?
Minh Le
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Antske Fokkens
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Joint Unsupervised Learning of Semantic Representation of Words and Roles in Dependency Trees
Michal Konkol
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TakeLab: Systems for Measuring Semantic Text Similarity
Frane Šarić
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Goran Glavaš
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Mladen Karan
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Jan Šnajder
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Bojana Dalbelo Bašić
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SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity
Sergio Jimenez
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Claudia Becerra
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Alexander Gelbukh
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Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds
Sabine Schulte im Walde
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Stefan Müller
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Stefan Roller
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evision PDF of 'When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models
Alicia Krebs
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Denis Paperno
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A Compositional-Distributional Semantic Model for Searching Complex Entity Categories
Juliano Efson Sales
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André Freitas
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Brian Davis
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Siegfried Handschuh
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SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity
Jose Camacho-Collados
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Mohammad Taher Pilehvar
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Nigel Collier
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Roberto Navigli
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HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity
Junqing He
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Long Wu
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Xuemin Zhao
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Yonghong Yan
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Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarity
Josué Melka
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Gilles Bernard
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MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach
Enrico Mensa
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Daniele P. Radicioni
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Antonio Lieto
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Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination
Artur Kulmizev
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Mostafa Abdou
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Vinit Ravishankar
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Malvina Nissim
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The Limitations of Cross-language Word Embeddings Evaluation
Amir Bakarov
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Roman Suvorov
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Ilya Sochenkov
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Sketching Techniques for Large Scale NLP
Amit Goyal
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Jagadeesh Jagarlamudi
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Hal Daumé III
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Suresh Venkatasubramanian
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Sketch Techniques for Scaling Distributional Similarity to the Web
Amit Goyal
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Jagadeesh Jagarlamudi
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Hal Daumé III
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Suresh Venkatasubramanian
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Semantic Relatedness from Automatically Generated Semantic Networks
Pia-Ramona Wojtinnek
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Stephen Pulman
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Learning Discriminative Projections for Text Similarity Measures
Wen-tau Yih
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Kristina Toutanova
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John C. Platt
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Christopher Meek
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Generating Semantic Orientation Lexicon using Large Data and Thesaurus
Amit Goyal
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Hal Daumé
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How we BLESSed distributional semantic evaluation
Marco Baroni
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Alessandro Lenci
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Distributional semantics from text and images
Elia Bruni
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Giang Binh Tran
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Marco Baroni
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Learning Comparable Corpora from Latent Semantic Analysis Simplified Document Space
Ekaterina Stambolieva
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Concreteness and Corpora: A Theoretical and Practical Study
Felix Hill
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Douwe Kiela
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Anna Korhonen
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Improving Pointwise Mutual Information (PMI) by Incorporating Significant Co-occurrence
Om Damani
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Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
Alona Fyshe
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Brian Murphy
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Partha Talukdar
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Tom Mitchell
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Graph-Structures Matching for Review Relevance Identification
Lakshmi Ramachandran
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Edward Gehringer
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Investigating the Contribution of Distributional Semantic Information for Dialogue Act Classification
Dmitrijs Milajevs
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Matthew Purver
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Probabilistic Modeling of Joint-context in Distributional Similarity
Oren Melamud
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Ido Dagan
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Jacob Goldberger
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Idan Szpektor
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Deniz Yuret
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Exploring the use of word embeddings and random walks on Wikipedia for the CogAlex shared task
Josu Goikoetxea
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Eneko Agirre
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Aitor Soroa
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Word net based Method for Determining Semantic Sentence Similarity through various Word Senses
Madhuri A. Tayal
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M. M. Raghuwanshi
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Latesh Malik
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Feeling is Understanding: From Affective to Semantic Spaces
Elias Iosif
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Alexandros Potamianos
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Identifying Patterns For Short Answer Scoring Using Graph-based Lexico-Semantic Text Matching
Lakshmi Ramachandran
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Jian Cheng
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Peter Foltz
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Functional Distributional Semantics
Guy Emerson
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Ann Copestake
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Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance
Billy Chiu
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Anna Korhonen
|
Sampo Pyysalo
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Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui
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Yulia Tsvetkov
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Pushpendre Rastogi
|
Chris Dyer
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Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance Measure
Oded Avraham
|
Yoav Goldberg
|
A Study on the Interplay Between the Corpus Size and Parameters of a Distributional Model for Term Classification
Behrang QasemiZadeh
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Relating semantic similarity and semantic association to how humans label other people
Kenneth Joseph
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Kathleen M. Carley
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Compositional Semantics using Feature-Based Models from WordNet
Pablo Gamallo
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Martín Pereira-Fariña
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TTCSℰ: a Vectorial Resource for Computing Conceptual Similarity: a Vectorial Resource for Computing Conceptual Similarity
Enrico Mensa
|
Daniele P. Radicioni
|
Antonio Lieto
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Are Distributional Representations Ready for the Real World? Evaluating Word Vectors for Grounded Perceptual Meaning
Lucy Li
|
Jon Gauthier
|
A Syllable-based Technique for Word Embeddings of Korean Words
Sanghyuk Choi
|
Taeuk Kim
|
Jinseok Seol
|
Sang-goo Lee
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Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks
Jeremy Auguste
|
Arnaud Rey
|
Benoit Favre
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Fully Delexicalized Contexts for Syntax-Based Word Embeddings
Jenna Kanerva
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Sampo Pyysalo
|
Filip Ginter
|
Semantic Composition via Probabilistic Model Theory
Guy Emerson
|
Ann Copestake
|
Dual Embeddings and Metrics for Relational Similarity
Dandan Li
|
Douglas Summers-Stay
|
Subword-level Composition Functions for Learning Word Embeddings
Bofang Li
|
Aleksandr Drozd
|
Tao Liu
|
Xiaoyong Du
|
The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD
Eneko Agirre
|
Oier López de Lacalle
|
Aitor Soroa
|
WordNet Embeddings
Chakaveh Saedi
|
António Branco
|
João António Rodrigues
|
João Silva
|
Jointly Embedding Entities and Text with Distant Supervision
Denis Newman-Griffis
|
Albert M Lai
|
Eric Fosler-Lussier
|
Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model
Steven Derby
|
Paul Miller
|
Brian Murphy
|
Barry Devereux
|
Distributional Effects of Gender Contrasts Across Categories
Timothee Mickus
|
Olivier Bonami
|
Denis Paperno
|
Testing APSyn against Vector Cosine on Similarity Estimation
Enrico Santus
|
Emmanuele Chersoni
|
Alessandro Lenci
|
Chu-Ren Huang
|
Philippe Blache
|
http://http://ixa2.si.ehu.es/ukb/
http://http://wordnet.princeton.edu/
http://wordnet.princeton.edu/glosstag
http://www.lsi.upc.es/nlp/tools/download-map.php
http://www.cs.technion.ac.il/
http://alfonseca.org/eng/research/wordsim353.html
http://ixa2.si.ehu.es/ukb/
Field Of Study
Linguistic Trends
Syntax
Task
Word Sense Disambiguation
Semantic Similarity
Information Retrieval
Machine Translation
Language
Multilingual
English
Spanish
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