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ACL - 2019
Total Papers:- 1393
Total Papers accross all years:- 14195
Total Citations :- 0
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Clinical Case Reports for NLP
Cyril Grouin |
Natalia Grabar |
Vincent Claveau |
Thierry Hamon |
Two-stage Federated Phenotyping and Patient Representation Learning
Dianbo Liu |
Dmitriy Dligach |
Timothy Miller |
Transfer Learning for Causal Sentence Detection
Manolis Kyriakakis |
Ion Androutsopoulos |
Artur Saudabayev |
Joan Ginés i Ametllé |
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors
Sotiris Kotitsas |
Dimitris Pappas |
Ion Androutsopoulos |
Ryan McDonald |
Marianna Apidianaki |
Simplification-induced transformations: typology and some characteristics
Anaïs Koptient |
Rémi Cardon |
Natalia Grabar |
ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
Mark Neumann |
Daniel King |
Iz Beltagy |
Waleed Ammar |
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
Zenan Zhai |
Dat Quoc Nguyen |
Saber Akhondi |
Camilo Thorne |
Christian Druckenbrodt |
Trevor Cohn |
Michelle Gregory |
Karin Verspoor |
Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning
Hassan Alhuzali |
Sophia Ananiadou |
Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations
Gaurav Vashisth |
Jan-Niklas Voigt-Antons |
Michael Mikhailov |
Roland Roller |
Extracting relations between outcomes and significance levels in Randomized Controlled Trials (RCTs) publications
Anna Koroleva |
Patrick Paroubek |
Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering
Asma Ben Abacha |
Chaitanya Shivade |
Dina Demner-Fushman |
PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation
Wei Zhu |
Xiaofeng Zhou |
Keqiang Wang |
Xun Luo |
Xiepeng Li |
Yuan Ni |
Guotong Xie |
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment
Hemant Pugaliya |
Karan Saxena |
Shefali Garg |
Sheetal Shalini |
Prashant Gupta |
Eric Nyberg |
Teruko Mitamura |
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain
Yichong Xu |
Xiaodong Liu |
Chunyuan Li |
Hoifung Poon |
Jianfeng Gao |
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model
Jiin Nam |
Seunghyun Yoon |
Kyomin Jung |
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