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How to Train good Word Embeddings for Biomedical NLP
Billy Chiu
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Gamal Crichton
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Anna Korhonen
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Sampo Pyysalo
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
BioNLP |
WS |
SIG: SIGBIOMED
Citations
URL
Deep Exhaustive Model for Nested Named Entity Recognition
Mohammad Golam Sohrab
|
Makoto Miwa
|
Identifying Protein-protein Interactions in Biomedical Literature using Recurrent Neural Networks with Long Short-Term Memory
Yu-Lun Hsieh
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Yung-Chun Chang
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Nai-Wen Chang
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Wen-Lian Hsu
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Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?
Eylon Shoshan
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Kira Radinsky
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Evaluation of Domain-specific Word Embeddings using Knowledge Resources
Farhad Nooralahzadeh
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Lilja Øvrelid
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Jan Tore Lønning
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Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation
Bénédicte Pierrejean
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Ludovic Tanguy
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YNU_AI1799 at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge of Different model ensemble
Qingxun Liu
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Hongdou Yao
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Xaobing Zhou
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Ge Xie
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Predicting Word Embeddings Variability
Bénédicte Pierrejean
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Ludovic Tanguy
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Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance
Billy Chiu
|
Anna Korhonen
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Sampo Pyysalo
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Cancer Hallmark Text Classification Using Convolutional Neural Networks
Simon Baker
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Anna Korhonen
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Sampo Pyysalo
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Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition
Nut Limsopatham
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Nigel Collier
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Initializing neural networks for hierarchical multi-label text classification
Simon Baker
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Anna Korhonen
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Automatic classification of doctor-patient questions for a virtual patient record query task
Leonardo Campillos Llanos
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Sophie Rosset
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Pierre Zweigenbaum
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Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility
Denis Newman-Griffis
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Ayah Zirikly
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A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval
Jonas Pfeiffer
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Samuel Broscheit
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Rainer Gemulla
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Mathias Göschl
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Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Dat Quoc Nguyen
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Karin Verspoor
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On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data
Yaqiang Wang
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Yunhui Chen
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Hongping Shu
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Yongguang Jiang
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Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts
Hai-Long Trieu
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Nhung T. H. Nguyen
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Makoto Miwa
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Sophia Ananiadou
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Jointly Embedding Entities and Text with Distant Supervision
Denis Newman-Griffis
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Albert M Lai
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Eric Fosler-Lussier
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https://github.com/
http://www.ncbi.nlm.nih.gov/pmc/
https://github.com/spyysalo/pubmed
Field Of Study
Linguistic Trends
Embeddings
Task
Named Entity Recognition
Semantic Similarity
Sentiment Analysis
Biomedical
Language
English
Dataset
Scientific Literature
Twitter
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