Biomedical question answering: a survey of approaches and challenges
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 …
as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables …
Recent progress in leveraging deep learning methods for question answering
Question answering, serving as one of important tasks in natural language processing,
enables machines to understand questions in natural language and answer the questions …
enables machines to understand questions in natural language and answer the questions …
Pubmedqa: A dataset for biomedical research question answering
We introduce PubMedQA, a novel biomedical question answering (QA) dataset collected
from PubMed abstracts. The task of PubMedQA is to answer research questions with …
from PubMed abstracts. The task of PubMedQA is to answer research questions with …
BioSentVec: creating sentence embeddings for biomedical texts
Sentence embeddings have become an essential part of today's natural language
processing (NLP) systems, especially together advanced deep learning methods. Although …
processing (NLP) systems, especially together advanced deep learning methods. Although …
[HTML][HTML] ScienceQA: a novel resource for question answering on scholarly articles
Abstract Machine Reading Comprehension (MRC) of a document is a challenging problem
that requires discourse-level understanding. Information extraction from scholarly articles …
that requires discourse-level understanding. Information extraction from scholarly articles …
Sequence tagging for biomedical extractive question answering
Motivation Current studies in extractive question answering (EQA) have modeled the single-
span extraction setting, where a single answer span is a label to predict for a given question …
span extraction setting, where a single answer span is a label to predict for a given question …
Supplementing domain knowledge to BERT with semi-structured information of documents
J Chen, Z Wei, J Wang, R Wang, C Gong… - Expert Systems with …, 2024 - Elsevier
Abstract Domain adaptation is a good way to boost BERT's performance on domain-specific
natural language processing (NLP) tasks. Common domain adaptation methods, however …
natural language processing (NLP) tasks. Common domain adaptation methods, however …
Evaluation of Question Answering Systems: Complexity of judging a natural language
Question answering (QA) systems are among the most important and rapidly developing
research topics in natural language processing (NLP). A reason, therefore, is that a QA …
research topics in natural language processing (NLP). A reason, therefore, is that a QA …
Biomedical question answering: A survey of methods and datasets
Z Kaddari, Y Mellah, J Berrich… - … Computing in Data …, 2020 - ieeexplore.ieee.org
Thousands of biomedical research papers are published each day. Now, it takes more time
than ever for researchers and healthcare information professionals to find relevant …
than ever for researchers and healthcare information professionals to find relevant …
[HTML][HTML] SentiMedQAer: a transfer learning-based sentiment-aware model for biomedical question answering
X Zhu, Y Chen, Y Gu, Z Xiao - Frontiers in Neurorobotics, 2022 - frontiersin.org
Recent advances have witnessed a trending application of transfer learning in a broad
spectrum of natural language processing (NLP) tasks, including question answering (QA) …
spectrum of natural language processing (NLP) tasks, including question answering (QA) …