Abstract
This paper presents the experiments accomplished as a part of our participation in the MEDIQA challenge, an (Abacha et al., 2019) shared task. We participated in all the three tasks defined in this particular shared task. The tasks are viz. i. Natural Language Inference (NLI) ii. Recognizing Question Entailment(RQE) and their application in medical Question Answering (QA). We submitted runs using multiple deep learning based systems (runs) for each of these three tasks. We submitted five system results in each of the NLI and RQE tasks, and four system results for the QA task. The systems yield encouraging results in all three tasks. The highest performance obtained in NLI, RQE and QA tasks are 81.8%, 53.2%, and 71.7%, respectively.
Highlights
Natural Language Processing (NLP) in biomedical domain is an essential and challenging task
An ACL-BioNLP 2019 shared task, namely the MEDIQA challenge aims to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE) and their application in QA in medical domain. The motivation of this shared task is in a need to develop relevant methods, techniques, and gold standard data for inference and recognizing question entailment in medical domain and their application to improve domain specific Information Retrieval (IR) and Question Answering (QA) systems
The MEDIQA has defined several tasks related to Natural Language Inference, Question Entailment and Question Answering in medical domain
Summary
Natural Language Processing (NLP) in biomedical domain is an essential and challenging task. An ACL-BioNLP 2019 shared task, namely the MEDIQA challenge aims to attract further research efforts in NLI, RQE and their application in QA in medical domain. The motivation of this shared task is in a need to develop relevant methods, techniques, and gold standard data for inference and recognizing question entailment in medical domain and their application to improve domain specific Information Retrieval (IR) and Question Answering (QA) systems. The MEDIQA has defined several tasks related to Natural Language Inference, Question Entailment and Question Answering in medical domain.
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