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Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains
Kaveh Taghipour
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Hwee Tou Ng
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
Neural Sequence Learning Models for Word Sense Disambiguation
Alessandro Raganato
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Claudio Delli Bovi
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Roberto Navigli
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SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation
Simone Papandrea
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Alessandro Raganato
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Claudio Delli Bovi
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Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison
Alessandro Raganato
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Jose Camacho-Collados
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Roberto Navigli
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Out-of-domain FrameNet Semantic Role Labeling
Silvana Hartmann
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Ilia Kuznetsov
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Teresa Martin
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Iryna Gurevych
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Embeddings for Word Sense Disambiguation: An Evaluation Study
Ignacio Iacobacci
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Mohammad Taher Pilehvar
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Roberto Navigli
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Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation
Ander Barrena
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Aitor Soroa
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Eneko Agirre
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EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text
Claudio Delli Bovi
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Jose Camacho-Collados
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Alessandro Raganato
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Roberto Navigli
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Word Sense Disambiguation with Recurrent Neural Networks
Alexander Popov
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Multilingual Modal Sense Classification using a Convolutional Neural Network
Ana Marasović
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Anette Frank
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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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Lexical Chains meet Word Embeddings in Document-level Statistical Machine Translation
Laura Mascarell
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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://ml.nec-labs.com/senna
Field Of Study
Linguistic Trends
Embeddings
Task
Word Sense Disambiguation
Information Retrieval
Machine Translation
Text Categorization
Approach
Deep Learning
Semi-supervised Learning
Language
Chinese
English
Dataset
News
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