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Unsupervised Most Frequent Sense Detection using Word Embeddings
Sudha Bhingardive
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Dhirendra Singh
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Rudramurthy V
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Hanumant Redkar
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Pushpak Bhattacharyya
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing
Andrei Butnaru
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Radu Tudor Ionescu
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Florentina Hristea
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AutoExtend: Combining Word Embeddings with Semantic Resources
Sascha Rothe
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Hinrich Schütze
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Synset Ranking of Hindi WordNet
Sudha Bhingardive
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Rajita Shukla
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Jaya Saraswati
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Laxmi Kashyap
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Dhirendra Singh
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Pushpak Bhattacharyya
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Sentence Level Temporality Detection using an Implicit Time-sensed Resource
Sabyasachi Kamila
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Asif Ekbal
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Pushpak Bhattacharyya
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LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
Andrew Bennett
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Timothy Baldwin
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Jey Han Lau
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Diana McCarthy
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Francis Bond
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Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambigous Synonyms
Aleksander Wawer
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Agnieszka Mykowiecka
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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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Japanese all-words WSD system using the Kyoto Text Analysis ToolKit
Hiroyuki Shinnou
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Kanako Komiya
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Minoru Sasaki
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Shinsuke Mori
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https://code.google.com/p/word2vec/
https://code.google.com/p/word2vec/
http://web.eecs.umich.edu/
http://web.eecs.umich.edu/
http://arxiv.org/abs/1103.0398
Field Of Study
Linguistic Trends
Embeddings
Language
English
Hindi
Dataset
News
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