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Deriving Adjectival Scales from Continuous Space Word Representations
Joo-Kyung Kim
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Marie-Catherine de Marneffe
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
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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Adjective Intensity and Sentiment Analysis
Raksha Sharma
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Mohit Gupta
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Astha Agarwal
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Pushpak Bhattacharyya
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Learning Scalar Adjective Intensity from Paraphrases
Anne Cocos
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Veronica Wharton
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Ellie Pavlick
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Marianna Apidianaki
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Chris Callison-Burch
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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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Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces
Thomas Ager
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Ondřej Kuželka
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Steven Schockaert
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Grounding Gradable Adjectives through Crowdsourcing
Rebecca Sharp
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Mithun Paul
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Ajay Nagesh
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Dane Bell
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Mihai Surdeanu
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Corpus-based discovery of semantic intensity scales
Chaitanya Shivade
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Marie-Catherine de Marneffe
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Eric Fosler-Lussier
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Albert M. Lai
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Word Embedding-based Antonym Detection using Thesauri and Distributional Information
Masataka Ono
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Makoto Miwa
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Yutaka Sasaki
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POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process
Kairit Sirts
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Jacob Eisenstein
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Micha Elsner
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Sharon Goldwater
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A Multitask Objective to Inject Lexical Contrast into Distributional Semantics
Nghia The Pham
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Angeliki Lazaridou
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Marco Baroni
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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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Adjusting Word Embeddings with Semantic Intensity Orders
Joo-Kyung Kim
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Marie-Catherine de Marneffe
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Eric Fosler-Lussier
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http://www.fit.vutbr.cz/
Field Of Study
Approach
Deep Learning
Language
English
Dataset
News
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