(Q100324073)

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Dict2vec : Learning Word Embeddings using Lexical Dictionaries

scientific article published in 2017

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title

Dict2vec : Learning Word Embeddings using Lexical Dictionaries (English)

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1 reference

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Julien Tissier

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Christopher Gravier

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2

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Amaury Habrard

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3

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language of work or name

English

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publication date

2017

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number of pages

10

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full work available at URL

https://www.aclweb.org/anthology/D17-1024.pdf

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published in

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

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page(s)

254-263

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describes a project that uses

Miller-Charles dataset

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MEN Test Collection

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Rubenstein-Goodenough dataset

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DBpedia: A Nucleus for a Web of Open Data

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1

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Knowledge-Powered Deep Learning for Word Embedding

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Enriching Word Vectors with Subword Information

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Multimodal distributional semantics

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A unified architecture for natural language processing: deep neural networks with multitask learning

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Natural Language Processing (almost) from Scratch

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Retrofitting Word Vectors to Semantic Lexicons

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Placing search in context: the concept revisited

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Identifiers

DOI

10.18653/V1/D17-1024

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(Q100324073)

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

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