Semi‐supervised, knowledge‐integrated pattern learning approach for fact extraction from judicial text

Author:

Thomas Anu1ORCID,Sangeetha Sivanesan1

Affiliation:

1. Text Analytics and NLP Lab, Department of Computer Applications National Institute of Technology Tiruchirappalli Tamil Nadu India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference58 articles.

1. Andrew J. J.(2018).Automatic extraction of entities and relation from legal documents. Paper presented at Proceedings of the Seventh Named Entities Workshop Melbourne Australia (pp. 1–8).

2. Anu T. &Sangeetha S.(2017).A legal case ontology for extracting domain‐specific entity relationships from e‐judgments. Paper presented at Sixth International Conference on Recent Trends in Information Processing & Computing(pp. 305–312).

3. An innovative hybrid approach for extracting named entities from unstructured text data

4. Ashley K. D. &Aleven V.(1997).Reasoning symbolically about partially matched cases. Paper presented at IJCAI'97: Proceedings of the 15th International Joint Conference on Artificial Intelligence(Vol. 1 pp. 335–341).

5. Banko M. Cafarella M. J. Soderland S. Broadhead M. &Etzioni O.(2007).Open information extraction from the web. Paper presented at: IJCAI'07: Proceedings of the 20th International Joint Conference on Artificial Intelligence(Vol. 7 pp. 2670–2676).

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