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Multi-field query expansion is effective for biomedical dataset retrieval
2017
Database: The Journal of Biological Databases and Curation
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Biomedical Lexicon for Query Expansion: This method is based on a biomedical lexicon. ...
We compare and evaluate two query expansion strategies, one based on the Rocchio method and another based on a biomedical lexicon. ...
These marks do not imply any 'positive' or 'negative' information except for the presence or the absence of the considered concept in the query. ...
doi:10.1093/database/bax062
pmid:29220457
pmcid:PMC5737205
fatcat:qvnv56bcx5bunoadvulz3gnrxm
Biomedical question answering: A survey
2010
Computer Methods and Programs in Biomedicine
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for the future research development in this critical area of intersection between Artificial Intelligence, Information Retrieval, and Biomedical Informatics. ...
Objectives: In this survey, we reviewed the current state of the art in biomedical QA (Question Answering), within a broader framework of semantic knowledge-based QA approaches, and projected directions ...
Acknowledgement We would like to thank the anonymous reviewers for their helpful feedback. r e f e r e n c e s ...
doi:10.1016/j.cmpb.2009.10.003
pmid:19913938
fatcat:tv4sel4llbcnjppnn7g2tygqze
Recent Advances in Automated Question Answering In Biomedical Domain
[article]
2021
arXiv
pre-print
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However, it may be still tedious and time consuming to manually look for the required information or answers. ...
The objective of automated Question Answering (QA) systems is to provide answers to user queries in a time efficient manner. ...
Essie [85] is an information retrieval tool with term and concept query expansion, and probabilistic ranking based on CQA [50] . ...
arXiv:2111.05937v1
fatcat:5474jk6ozbalvmfjrgatu4tsna
Factors affecting the effectiveness of biomedical document indexing and retrieval based on terminologies
2013
Artificial Intelligence in Medicine
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ad hoc information retrieval (IR) task. ...
Objective: The aim of this work is to evaluate a set of indexing and retrieval strategies based on the integration of several biomedical terminologies on the available TREC Genomics collections for an ...
research in Information Retrieval. ...
doi:10.1016/j.artmed.2012.08.006
pmid:23092678
fatcat:2ss3cba3njfhzpk76rbd6isuga
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
[article]
2021
arXiv
pre-print
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We propose a general approach for vertical search based on domain-specific pretraining and present a case study for the biomedical domain. ...
for biomedical literature: https://aka.ms/biomedsearch. ...
, Xiaodong Liu, Adam Fourney, and Susan Dumais for contributing their expertise and shaping Microsoft Biomedical Search. ...
arXiv:2106.13375v1
fatcat:7q5x7agh3zcfjglpxs7bkdsrje
Methods and Trends in Information Retrieval in Big Data Genomic Research
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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in the biomedical and genome research. ...
This paper described information retrieval (IR) and the common methods of finding, extracting, and mining information in genomic research through text mining, and natural language processing (NLP). ...
IR system processes the query of users that search for any collections of data retrieved from relevant documents or provide results based on the rank. ...
doi:10.35940/ijitee.i1109.0789s219
fatcat:j2uramagd5a75jusrcor75w7ue
Has Computational Linguistics Become More Applied?
[chapter]
2009
Lecture Notes in Computer Science
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We evaluate our method comparing the answers given by a traditional information retrieval systemvector space model adjusted for article retrieval, instead of document retrieval-and the answers to 21 questions ...
In this work we experiment by using natural language techniques such as lemmatizing and using manual and automatic thesauri for improving question based document retrieval. ...
information is based on a set of templates that entail the information that we would like to extract, in Question Answering where candidate answers are snippets that entail the question we want to answer ...
doi:10.1007/978-3-642-00382-0_1
fatcat:oddvfzds4nfwjam2ccqeaxe2y4
A semantic graph-based approach to biomedical summarisation
2011
Artificial Intelligence in Medicine
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A degree-based clustering algorithm is then used to identify different themes or topics within the text. ...
This paper presents a method for summarising biomedical scientific literature that takes into consideration the characteristics of the domain and the type of documents. ...
Acknowledgement This research is funded by the Spanish Government through the FPU program and the projects TIN2009-14659-C03-01 and TSI 020312-2009-44. ...
doi:10.1016/j.artmed.2011.06.005
pmid:21752612
fatcat:bqkoamd5lzasnih7j33jvpl3dm
Language Modeling Approaches to Information Retrieval
2009
Journal of Computing Science and Engineering
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of language modeling for XML retrieval and future trends. ...
In this article, we discuss current research in the application of language modeling to information retrieval, the role of semantics in the language modeling framework, cluster-based language models, use ...
retrieval and question answering. ...
doi:10.5626/jcse.2009.3.3.143
fatcat:ixxzdlrevfd35jemld6vfdrndi
Survey on challenges of Question Answering in the Semantic Web
2017
Semantic Web Journal
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Semantic Question Answering (SQA) removes two major access requirements to the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of a specific vocabulary. ...
We identify common challenges, structure solutions, and provide recommendations for future systems. ...
Acknowledgements This work has been supported by the FP7 project GeoKnow (GA No. 318159), the BMWI Project SAKE (Project No. 01MD15006E) and by the Eurostars projects DIESEL (E!9367) and QAMEL (E! ...
doi:10.3233/sw-160247
fatcat:lzlupslbqbcbnlayqi7uy4ok2e
Recent progress in automatically extracting information from the pharmacogenomic literature
2010
Pharmacogenomics (London)
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Acknowledgements The authors would like to thank Connie M Oshiro for comments on the manuscript and Nicholas P Tatonetti for useful discussions and assistance creating the figures. ...
We also thank the three anonymous reviewers for their excellent comments. ...
Main approaches for biomedical NER The approaches for biomedical NER fall into three main categories: lexicon-based, rule-based, and statistical or machine-learning based. ...
doi:10.2217/pgs.10.136
pmid:21047206
pmcid:PMC3035632
fatcat:7g3jwc4hjfetbb5phmzstzhjeu
Exploiting Social Annotations for Personalizing Retrieval
2017
International Journal of Intelligent Engineering and Systems
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This may be due to the huge number of web resources, and unidentified user's interests and domain. This paper proposes exploiting social annotations for improving retrieval based on personalization. ...
Then, the additional knowledge leads to improve the retrieved results to be close to user's interests. So, it retrieved different results for the same query based on the user's interests. ...
This comparison aims to answer two essential questions; the first is "Are Tags considered as a Good Reflection of Resources Content?" ...
doi:10.22266/ijies2017.1231.21
fatcat:25wha56rlnaujippisqsen6cvi
A Review of Towered Big-Data Service Model for Biomedical Text-Mining Databases
2017
International Journal of Advanced Computer Science and Applications
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The fast development of these accumulations makes it progressively troublesome for people to get to the required information in an advantageous and viable way. ...
Text mining can help us mine information and knowledge from a mountain of text, and is now widely applied in biomedical research. ...
and question answering and the seven interdisciplinary fields based on computational linguistics: artificial intelligence, data mining, natural language processing and information retrieval [29] . ...
doi:10.14569/ijacsa.2017.080804
fatcat:juylimcz4jdbhmifhrz6so7ciq
Excavating the mother lode of human-generated text: A systematic review of research that uses the wikipedia corpus
2017
Information Processing & Management
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Moreover, a Wikipedia link-based query expansion method for feed retrieval proved to outperform other methods with no query expansion. Theobald et al. ...
retrieval
3
Cross-language information retrieval
6
Data mining
5
Query processing
8
Ranking and clustering systems
15
Text classification
10
Other information retrieval topics
8
Natural ...
doi:10.1016/j.ipm.2016.07.003
fatcat:qgjeatizfzbyjkbo4rsuxea76y
Federated Search
[chapter]
2009
Encyclopedia of Database Systems
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Federated search (federated information retrieval or distributed information retrieval) is a technique for searching multiple text collections simultaneously. ...
Less than a year after, Diaz [2009] proposed a click-based classifier for integration of news answers into web search results-as the first large-scale published study on aggregated search that won the ...
Acknowledgements The authors are grateful to Jamie Callan and reviewers for their insightful comments. ...
doi:10.1007/978-0-387-39940-9_2631
fatcat:qanovfuxgndphhxidpxfzqloi4
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