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Semantic roles labeling for reuse in CBR based QA system
Suwarningsih W.a, Purwarianti A.a, Supriana I.a
a School of Electronic Engineering and Informatics, Institute Technology Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2016 IEEE.Reuse process in CBR (Case-Based Reasoning) cycle is responsible for proposing solutions to a number of new problems from a retrieval process. The aim of this paper is to develop a new scheme to select some cases and solutions that form QA-pairs using Semantic Role Labeling (SRL). In previous studies, the selection process of cases and solutions have been done using named entity and word co-occurrence. However, the result have not satisfaction and achieved an accuracy only 70.13%. This research work is focused on QA-pairs sorting. The sorting method used extracting the rules of sentence structure patterns that have been labeled semantic roles. Based on Indonesian medical Ontology, we use 123 samples of QA-pairs for testing the performance of the system. The results of this study showed a value of 80.15% accuracy.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]CBR (case based reasoning),Indonesian Medical Sentences,QA-pairs,Retrieval process,Rule extraction,Semantic role labeling,Sentence structures,Word co-occurrence[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Indonesian Medical Sentences,QA-pairs,Reuse Solution,Rule Extraction,Semantic Role Labeling[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICoICT.2016.7571935[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]