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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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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
Neural-based Noise Filtering from Word Embeddings
Kim Anh Nguyen
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Sabine Schulte im Walde
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Ngoc Thang Vu
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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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Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
João Sedoc
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Daniel Preoţiuc-Pietro
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Lyle Ungar
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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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Specialising Paragraph Vectors for Text Polarity Detection
Fabio Tamburini
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Introducing Two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness
Kim Anh Nguyen
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Sabine Schulte im Walde
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Ngoc Thang Vu
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Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction
Kim Anh Nguyen
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Sabine Schulte im Walde
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Ngoc Thang Vu
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Semantic Word Clusters Using Signed Spectral Clustering
João Sedoc
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Jean Gallier
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Dean Foster
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Lyle Ungar
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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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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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Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation
Alexander Panchenko
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Stefano Faralli
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Simone Paolo Ponzetto
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Chris Biemann
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Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
Ivan Vulić
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https://en.wikipedia.org
http://lvdmaaten.github.io/tsne/
http://www.iclr.cc/doku.php?id=
Field Of Study
Linguistic Trends
Distributional Semantics
Embeddings
Typology
Task
Semantic Similarity
Language
English
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