{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:42:38Z","timestamp":1761896558215},"reference-count":39,"publisher":"IGI Global","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7,1]]},"abstract":"<p>Background and Objective: Yes\/no question answering (QA) in open-domain is a longstanding challenge widely studied over the last decades. However, it still requires further efforts in the biomedical domain. Yes\/no QA aims at answering yes\/no questions, which are seeking for a clear \u201cyes\u201d or \u201cno\u201d answer. In this paper, we present a novel yes\/no answer generator based on sentiment-word scores in biomedical QA. Methods: In the proposed method, we first use the Stanford CoreNLP for tokenization and part-of-speech tagging all relevant passages to a given yes\/no question. We then assign a sentiment score based on SentiWordNet to each word of the passages. Finally, the decision on either the answers \u201cyes\u201d or \u201cno\u201d is based on the obtained sentiment-passages score: \u201cyes\u201d for a positive final sentiment-passages score and \u201cno\u201d for a negative one. Results: Experimental evaluations performed on BioASQ collections show that the proposed method is more effective as compared with the current state-of-the-art method, and significantly outperforms it by an average of 15.68% in terms of accuracy.<\/p>","DOI":"10.4018\/ijhisi.2017070104","type":"journal-article","created":{"date-parts":[[2017,5,31]],"date-time":"2017-05-31T17:18:13Z","timestamp":1496251093000},"page":"62-74","source":"Crossref","is-referenced-by-count":13,"title":["A Yes\/No Answer Generator Based on Sentiment-Word Scores in Biomedical Question Answering"],"prefix":"10.4018","volume":"12","author":[{"given":"Mourad","family":"Sarrouti","sequence":"first","affiliation":[{"name":"Laboratory of Computer Science and Modeling, FSDM, Sidi Mohammed Ben Abdellah University, Fez, Morocco"}]},{"given":"Said Ouatik","family":"El Alaoui","sequence":"additional","affiliation":[{"name":"Laboratory of Computer Science and Modeling, FSDM, Sidi Mohammed Ben Abdellah University, Fez, Morocco"}]}],"member":"2432","reference":[{"key":"IJHISI.2017070104-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2015.04.006"},{"key":"IJHISI.2017070104-1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.110"},{"key":"IJHISI.2017070104-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2009.10.003"},{"key":"IJHISI.2017070104-3","unstructured":"Baccianella, S., Esuli, A., & Sebastiani, F. 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