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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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Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke
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Steven Schockaert
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Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research
Haim Dubossarsky
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Eitan Grossman
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Daphna Weinshall
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Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding
Yixin Cao
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Lifu Huang
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Heng Ji
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Xu Chen
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Juanzi Li
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How Gender and Skin Tone Modifiers Affect Emoji Semantics in Twitter
Francesco Barbieri
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Jose Camacho-Collados
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Semisupervied Data Driven Word Sense Disambiguation for Resource-poor Languages
Pratibha Rani
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Vikram Pudi
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Dipti M. Sharma
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http://ebiquity.umbc
http://babelnet.org
http://babelfy.org
http://pan.baidu.com/s/1eQcPK8i
http://lcl.uniroma1.it/sensembed/
http://lcl.uniroma1.it/nasari/
https://github.com/mfaruqui/
http://lcl.uniroma1.it/sw2v
Field Of Study
Linguistic Trends
Embeddings
Task
Syntactic Parsing
Word Sense Disambiguation
Semantic Similarity
Question Answering
Language
Multilingual
English
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