Authors:
Mourad Sarrouti
;
Abdelmonaime Lachkar
and
Said El Alaoui Ouatik
Affiliation:
Sidi Mohamed Ben Abdellah University, Morocco
Keyword(s):
Biomedical Question Answering System, Biomedical Question Types Classification, Answer Types Classification, Natural Language Processing, Syntactic Patterns, Unified Medical Language System.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
BioInformatics & Pattern Discovery
;
Information Extraction
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Biomedical Question Types (QTs) Classification is an important component of Biomedical Question Answering Systems and it attracted a notable amount of research since the past decade. Biomedical QTs Classification is the task for determining the QTs to a given Biomedical Question. It classifies Biomedical Questions into several Questions Types. Moreover, the Question Types aim to determine the appropriate Answer Extraction Algorithms. In this paper, we have proposed an effective and efficient method for Biomedical QTs Classification. We have classified the Biomedical Questions into three broad categories. We have also defined the Syntactic Patterns for particular category of Biomedical Questions. Therefore, using these Biomedical Question Patterns, we have proposed an algorithm for classifying the question into particular category. The proposed method was evaluated on the Benchmark datasets of Biomedical Questions. The experimental results show that the proposed method can be used to
effectively classify Biomedical Questions with higher accuracy.
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