Alias Identification from Narratives for Question Answering
5 Pages Posted: 25 Aug 2019
Date Written: August 22, 2019
Alias is the term used to give a person’s name after giving his or her real name. The name can be Pronouns or Generic (Noun Phrases) NPs. For identifying pronouns co-reference resolution is being used. Identifying Generic NPs from a narrative is a crucial task, because we observed that standard Natural Language Processing (NLP) tool-kits work poorly for generic NPs. NLP applications using the co-reference resolution technique are Timeline creation, Question-answering, Summarization and Information extraction. In this work, we propose an approach using linguistic knowledge for Alias Identification and Question Answering system to answer the given question. For encoding the linguistic knowledge Markov Logic Network (MLN) is used. The proposed system is a combination of Alias Identification and a Question Answering. Public narratives/paragraph of varying linguistic complexity is selected as input to the alias identification system. Input to the question answering system is output alias identification system and question. From the narratives/paragraph answers to the corresponding questions will be extracted. The system generates the answer sentence by finding the first pronoun or generic NP which is replaced with canonical form.
Keywords: Co-reference resolution, Natural Language Processing (NLP), Markov Logic Network (MLN)
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