A Machine Learning Approach to Anaphora Resolution in Nepali Language

被引：0

作者：

Senapati, Apurbalal ^{[1
]}

Poudyal, Arun ^{[1
]}

Adhikary, Prithwiraj ^{[1
]}

Kaushar, Sahana ^{[1
]}

Mahajan, Anmol ^{[2
]}

Saha, Baidya Nath ^{[3
]}

机构：

[1] Cent Inst Technol CIT, Dept CSE, Kokrajhar, India

[2] Univ Alberta, Dept Comp Sci, Edmonton, AB, Canada

[3] Concordia Univ Edmonton CUE, Math & Comp Sci, Edmonton, AB, Canada

来源：

2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2020) | 2020年

关键词：

Anaphora Resolution; Nepali Language; Machine learning; Natural Language Processing;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we attempt a machine learning (ML) approach to Anaphora Resolution (AR) system in Nepali language. It is one of the pioneering approaches in anaphora resolution using machine learning in Nepali language, which is a resource-limited language. For this work, we have developed our own data set in the standard format available in this domain. Data has been tagged with the necessary information like Partsof-speech (POS), Named entity, Chunking information, Gender, Number, Person, etc. We divided the data for training and testing purposes in approximately 5:1 ratio and ML classifiers are used for training and testing. Results show encouraging for further progress.

引用

页码：436 / 441

页数：6

共 42 条

[1]

Adhikari H., 1993, SAMASAAMAYIK NEPALI

[2]

[Anonymous], 2000, Anaphora: A Cross-Linguistic Study

[3]

[Anonymous], 1998, Proceedings ofCOLING-ACL

[4]

[Anonymous], 1983, Two-level morphology: A general computational model for word-form recognition and production

[5]

[Anonymous], 2005, HLT '05

[6]

Bagga Amit, 1998, PROC 1 LANGUAGE RESO, P563

[7]

Bal B. K., 2009, P 7 WORKSHOP ASIAN L

[8]

Bharati A., 2001, TRLTRC14

[9]

Bhattarai GR., 2008, NEPAL LINGUIST, V23, P25

[10]

Brennan S. E., 1987, 25th Annual Meeting of the Association for Computational Linguistics. Proceedings of the Conference, P155

← 1 2 3 4 5 →