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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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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Predicting the Evocation Relation between Lexicalized Concepts
Yoshihiko Hayashi
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Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen
Aleksandr Drozd
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Anna Gladkova
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Satoshi Matsuoka
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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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Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala
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Cong Bao
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Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
Huda Hakami
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Kohei Hayashi
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Danushka Bollegala
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SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke
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Steven Schockaert
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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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Context-Aware Prediction of Derivational Word-forms
Ekaterina Vylomova
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Ryan Cotterell
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Timothy Baldwin
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Trevor Cohn
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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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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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Undersampling Improves Hypernymy Prototypicality Learning
Koki Washio
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Tsuneaki Kato
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Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t.
Anna Gladkova
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Aleksandr Drozd
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Satoshi Matsuoka
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Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations
Koki Washio
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Tsuneaki Kato
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A Vector Space for Distributional Semantics for Entailment
James Henderson
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Diana Popa
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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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Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection
Yogarshi Vyas
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Marine Carpuat
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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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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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An Exploration of Word Embedding Initialization in Deep-Learning Tasks
Tom Kocmi
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Ondřej Bojar
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http://en.wiktionary.org
http://www.rinkworks.com/words/collective
http://github.com/ivri/
Field Of Study
Linguistic Trends
Lexical Semantics
Distributional Semantics
Embeddings
Syntax
Task
Information Extraction
Relation Extraction
Machine Translation
Paraphrasing
Approach
Semi-supervised Learning
Language
Multilingual
English
Dataset
News
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