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Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages
Nut Limsopatham
|
Nigel Collier
|
Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis
|
Mohammad Taher Pilehvar
|
Nigel Collier
|
Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation
Nut Limsopatham
|
Nigel Collier
|
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
|
http://www.dailystrength.org/
http://twitter.com
http://lucene.apache.org/
http://dx.doi.org/10.5281/zenodo.27354
https://dev.twitter.com/streaming/
https://code.google.com/p/word2vec/
http://nlp.stanford.edu/projects/
http://www.biomedcentral.com/about/
http://www.statmt.org/moses/
http://dx.doi.org/10.5281/zenodo.27354
https://www.repository
Field Of Study
Task
Language Understanding
Named Entity Recognition
Semantic Similarity
Information Retrieval
Biomedical
Language
English
Dataset
Social Media
Twitter
Clinical Notes
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