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Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation
Nut Limsopatham
|
Nigel Collier
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis
|
Mohammad Taher Pilehvar
|
Nigel Collier
|
Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models
Gabriel Stanovsky
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Daniel Gruhl
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Pablo Mendes
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Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar
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Jose Camacho-Collados
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Roberto Navigli
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Nigel Collier
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Recognizing Complex Entity Mentions: A Review and Future Directions
Xiang Dai
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Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification
Nut Limsopatham
|
Nigel Collier
|
Bidirectional LSTM for Named Entity Recognition in Twitter Messages
Nut Limsopatham
|
Nigel Collier
|
Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition
Nut Limsopatham
|
Nigel Collier
|
End-to-End System for Bacteria Habitat Extraction
Farrokh Mehryary
|
Kai Hakala
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Suwisa Kaewphan
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Jari Björne
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Tapio Salakoski
|
Filip Ginter
|
http://twitter.com
http://facebook.com
https://www.nlm.nih.gov/pubs/
http://www.ihtsdo.org/snomed-ct
https://dev.twitter.com/streaming/
http://sideeffects.embl.de/
http://www.askapatient
https://code.google.com/p/word2vec/
http://www.biomedcentral.com/about/
http://www.ncbi.nlm.nih.gov/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Chunking
Word Sense Disambiguation
Named Entity Recognition
Information Extraction
Machine Translation
OCR
Biomedical
Approach
Semi-supervised Learning
Language
Multilingual
English
French
Dataset
News
Social Media
Twitter
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