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Mixture of Experts for Biomedical Question Answering
[article]
2022
arXiv
pre-print
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In this paper, in order to alleviate the parameter competition problem, we propose a Mixture-of-Expert (MoE) based question answering method called MoEBQA that decouples the computation for different types ...
Existing question answering methods answer all questions with a homogeneous model, leading to various types of questions competing for the shared parameters, which will confuse the model decision for each ...
In this paper, we aim to alleviate the parameter competition problem via a Mixture-of-Expert (MoE) based question answering method called MOEBQA that decouples the computation for different types of questions ...
arXiv:2204.07469v1
fatcat:mn3oyaz2ffgjfobboqikywevmq
Biomedical Question Answering via Weighted Neural Network Passage Retrieval
[chapter]
2018
Lecture Notes in Computer Science
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The amount of publicly available biomedical literature has been growing rapidly in recent years, yet question answering systems still struggle to exploit the full potential of this source of data. ...
In a preliminary processing step, many question answering systems rely on retrieval models for identifying relevant documents and passages. ...
Table 1 . 1 Passage retrieval performance for biomedical question answering. ...
doi:10.1007/978-3-319-76941-7_39
fatcat:saguy6prrvbldgokn2d52ietyi
SciFive: a text-to-text transformer model for biomedical literature
[article]
2021
arXiv
pre-print
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BERT, BioBERT, Base T5) on tasks in named entity relation, relation extraction, natural language inference, and question-answering. ...
We show that text-generation methods have significant potential in a broad array of biomedical NLP tasks, particularly those requiring longer, more complex outputs. ...
For a single question, SciFive answers questions using a sequence of text rather than probabilities for the start and end of the answer. ...
arXiv:2106.03598v1
fatcat:vce5ki2sone3nab4jz2gp3moci
Sources: The Medical Library Association Essential Guide to Becoming an Expert Searcher: Proven Techniques, Strategies, and Tips for Finding Health Information
2009
Reference and user services quarterly
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There are also eight interesting author profiles written in question-and-answer format. Five top-ten lists are scattered throughout the book with the intention of a quick list for bookmarks. ...
However, a mixture of reading levels is included on each bookmark, making it difficult to use for any one audience. The range of topics covers most areas of nonfiction. ...
doi:10.5860/rusq.48n3.316
fatcat:y6joadlfivbwpesbdfaanaegli
Neural Domain Adaptation for Biomedical Question Answering
[article]
2017
arXiv
pre-print
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For example, the BioASQ dataset for biomedical QA comprises less then 900 factoid (single answer) and list (multiple answers) QA instances. ...
Our network architecture is based on a state-of-the-art QA system, extended with biomedical word embeddings and a novel mechanism to answer list questions. ...
Acknowledgments This research was supported by the German Federal Ministry of Education and Research (BMBF) through Software Campus project GeNIE (01IS12050). ...
arXiv:1706.03610v2
fatcat:terefio4trhidlwmleusdzow3y
Neural Domain Adaptation for Biomedical Question Answering
2017
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)
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For example, the BioASQ dataset for biomedical QA comprises less then 900 factoid (single answer) and list (multiple answers) QA instances. ...
Our network architecture is based on a state-of-theart QA system, extended with biomedical word embeddings and a novel mechanism to answer list questions. ...
Acknowledgments This research was supported by the German Federal Ministry of Education and Research (BMBF) through Software Campus project GeNIE (01IS12050). ...
doi:10.18653/v1/k17-1029
dblp:conf/conll/WieseWN17
fatcat:aig6evwimfczlfxokaytvwnnrq
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
[article]
2021
arXiv
pre-print
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In this paper, we proposed Mixture-of-Partitions (MoP), an infusion approach that can handle a very large knowledge graph (KG) by partitioning it into smaller sub-graphs and infusing their specific knowledge ...
To leverage the overall factual knowledge for a target task, these sub-graph adapters are further fine-tuned along with the underlying BERT through a mixture layer. ...
Middle: mixtures weights of MoP on 6 questions. ...
arXiv:2109.04810v1
fatcat:3ksxrdc7ovdpxlfvxyol3wigli
Recent Advances in Automated Question Answering In Biomedical Domain
[article]
2021
arXiv
pre-print
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The objective of automated Question Answering (QA) systems is to provide answers to user queries in a time efficient manner. ...
Therefore, it has become difficult to keep track of all the information in the domain, even for domain experts. ...
Tabular or Textual Databases: These databases contain the relationships among narrow types of biomedical entities in the form of tables or a mixture of tabular and text data. ...
arXiv:2111.05937v1
fatcat:5474jk6ozbalvmfjrgatu4tsna
Phrase Based Topic Modeling for Semantic Information Processing in Biomedicine
2013
2013 12th International Conference on Machine Learning and Applications
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Qualitative evaluations of this browser with biomedical experts demonstrate that our approach can aid biomedical researchers gain better and faster understanding of their document collections. ¶ We uploaded ...
Recently, it was extended using the "bag-of-n-grams" paradigm to account for word order. ...
ACKNOWLEDGMENTS This publication was supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences, US National Institutes of Health (NIH), through ...
doi:10.1109/icmla.2013.89
pmid:28736774
pmcid:PMC5521983
dblp:conf/icmla/YuJK13
fatcat:b6uuqqirenh5timgv2vhndb5zu
Design Of Expert System For Search Allergy And Selection Of The Skin Tests Using Clips
2007
Zenodo
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This work presents the design of an expert system that aims in the procurement of patient medial background and in the search for suitable skin test selections. ...
The language of expert systems CLIPS is used as a tool of designing. ...
These answers constitute the facts in the expert system. ...
doi:10.5281/zenodo.1076118
fatcat:fl4odqiz4bbeplv4bp6mseedbi
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
[article]
2022
arXiv
pre-print
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In the biomedical domain, natural language generation (NLG) tasks are of critical importance, while understudied. ...
We emphasize the lack of in-domain generative language models and the unsystematic generative downstream benchmarks in the biomedical domain, hindering the development of the research community. ...
Acknowledgements We appreciate three anonymous reviewers for helpful comments. ...
arXiv:2204.03905v2
fatcat:sdczfns265ezplidcz5mcebkee
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
[article]
2017
arXiv
pre-print
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Additionally, we briefly explain text mining in biomedical and health care domains. ...
The amount of text that is generated every day is increasing dramatically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers. ...
Question Answering Question answering is another biomedical text mining task where significantly exploits information extraction methods. ...
arXiv:1707.02919v2
fatcat:uiwsrz6wgrb65dcnp54wmkrase
A Concise Survey on Datasets, Tools and Methods for Biomedical Text
2022
International Journal of Applied Engineering Research
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Since the text data is unstructured, it becomes difficult for the experts and researchers to analyze the above information manually or to extract information automatically. ...
In today's advancement of the digital world, a huge amount of Biomedical information in the form of text data is accessible from research articles as well as blogs. ...
Question Answering Question answering system is one of the difficult tasks in NLP task which is used to extract answers from unstructured huge collections of documents. ...
doi:10.37622/ijaer/17.3.2022.200-217
fatcat:2cw7f572rjfqvbnbrpq7gc75ue
COVIDRead: A Large-scale Question Answering Dataset on COVID-19
[article]
2021
arXiv
pre-print
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The dataset consists of Context-Answer-Question triples. Primarily the questions from the context are constructed in an automated way. ...
In this paper, we present a very important resource, COVIDRead, a Stanford Question Answering Dataset (SQuAD) like dataset over more than 100k question-answer pairs. ...
They offered biomedical experts annotated 2019 question-answer pairs related to COVID-19 by considering 147 scientific articles. ...
arXiv:2110.09321v1
fatcat:ilhnlrof45estct74fbxtej5aa
Sources: Gotcha Good! Nonfiction Books to Get Kids Excited About Reading
2009
Reference and user services quarterly
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This resource weaves all of these strands into an enlightening picture of the effect of gender in the field of science. Highly recommended. ...
Reference Books volume 48, issue 3 | 315 in science, and history of scientific theories on gender. ...
Ford presents questions for consideration when working on inquiries that appear controversial, acknowledging that while textbook responses may provide the framework for answers to reference questions, ...
doi:10.5860/rusq.48n3.315
fatcat:ddbeh4ogsrfcfe7cqhded3zd3u
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