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Mixture of Experts for Biomedical Question Answering [article]

Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu
2022 arXiv   pre-print
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]

Ferenc Galkó, Carsten Eickhoff
2018 Lecture Notes in Computer Science  
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]

Long N. Phan, James T. Anibal, Hieu Tran, Shaurya Chanana, Erol Bahadroglu, Alec Peltekian, Grégoire Altan-Bonnet
2021 arXiv   pre-print
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

Betsy Tonn
2009 Reference and user services quarterly  
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]

Georg Wiese, Dirk Weissenborn, Mariana Neves
2017 arXiv   pre-print
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

Georg Wiese, Dirk Weissenborn, Mariana Neves
2017 Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)  
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]

Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier
2021 arXiv   pre-print
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]

Krishanu Das Baksi
2021 arXiv   pre-print
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

Zhiguo Yu, Todd R. Johnson, Ramakanth Kavuluru
2013 2013 12th International Conference on Machine Learning and Applications  
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

St. Karagiannis, A. I. Dounis, T. Chalastras, P. Tiropanis, D. Papachristos
2007 Zenodo  
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]

Hongyi Yuan, Zheng Yuan, Ruyi Gan, Jiaxing Zhang, Yutao Xie, Sheng Yu
2022 arXiv   pre-print
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]

Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, Saied Safaei, Elizabeth D. Trippe, Juan B. Gutierrez, Krys Kochut
2017 arXiv   pre-print
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

R. Johnsi, G. Bharadwaja Kumar, Tulasi Prasad Sariki
2022 International Journal of Applied Engineering Research  
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]

Tanik Saikh, Sovan Kumar Sahoo, Asif Ekbal, Pushpak Bhattacharyya
2021 arXiv   pre-print
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

Tiffany Wylie
2009 Reference and user services quarterly  
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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