Automatic Question Answering (QA) has been successfully applied in various domains such
as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables …

The amount of biomedical literature is vast and growing quickly, and accurate text mining
techniques could help researchers to efficiently extract useful information from the literature …

Exponential growth of biomedical literature and clinical data demands more robust yet
precise computational methodologies to extract useful insights from biomedical literature …

The ever accelerating pace of biomedical research results in corresponding acceleration in
the volume of biomedical literature created. Since new research builds upon existing …

The objective of automated Question Answering (QA) systems is to provide answers to user
queries in a time efficient manner. The answers are usually found in either databases (or …

Current medical question answering systems have difficulty processing long, detailed and
informally worded questions submitted by patients, called Consumer Health Questions …

Building a computer system, which can automatically answer questions in the human
language, speech or text, is a long-standing goal of the Artificial Intelligence (AI) field …

Chatbots have been very popular in recent years for being able to serve as a customer
representative, a language learner and so forth. Long short-term memory abbreviated as …

Current research in yes/no question answering (QA) focuses on transfer learning techniques
and transformer-based models. Models trained on large corpora are fine-tuned on tasks …

In this paper, we detail our submission to the 7th year BioASQ competition. We present our
approach for Task-7b, Phase B, Exact Answering Task. These Question Answering (QA) …