Anaphora Resolution using Theme Sets
Praveen K Wilson1, J R Jeba2
1Praveen K Wilson, Research Scholar in Department of Computer Science Engineering, NI University, Kumaracoil, India.
2Dr. J R Jeba, Associate Professor & HOD, Department of Computer Applications, NI University, Kumaracoil, India.
Manuscript received on 11 August 2019 | Revised Manuscript received on 18 August 2019 | Manuscript published on 30 August 2019 | PP: 2837-2842 | Volume-8 Issue-10, August 2019 | Retrieval Number: J96010881019/2019©BEIESP | DOI: 10.35940/ijitee.J9601.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Anaphora resolution is a procedure of replacing pronouns with its referring nouns which may be available in the same sentence or in different sentences within the same document. Even multiple approaches are available for anaphora resolution; there may be some space for semantic approaches which provides solution better than syntactic or corpus based approaches. In syntactic approaches, all noun phrases from the previous or current sentences are checked for getting constrains agreement with the anaphor and score value is calculated for a pair of Noun-Pronoun based on these constrains. The pair getting the highest positive score is treated as the result. In some cases the sentence structure is not changed, hence the score corresponding to the feature values and syntactic structures are same. Here the actual replacement of pronoun with noun depends on the meaning of the sentence especially the meaning of the verb. To resolve such situations, here we are proposing a method which is a combination of syntactic and semantic approaches based on Theme Sets or thematic sets. Using Theme Sets we are exploiting the role of verbal lexemes associated with the noun or pronoun for the resolution of anaphora. Anaphora resolution in semantic way has great importance in the modern era of artificial intelligence which enhance multi-dimensional research in the area of natural language processing in a better way.
Index Terms: Anaphora Resolution, Theme Sets, Verbal Lexemes, Nominal Anaphora, Feature Constraints.
Scope of the Article: Theme Sets