A Comparative Study on Parsing in Natural Language Processing

被引：0

作者：

Kiran, Sandeep ^{[1
]}

Charan, Shesha Sai R. ^{[1
]}

Priyanka ^{[1
]}

Pooja, M. R. ^{[1
]}

机构：

[1] Vidyavardhaka Coll Engn, Dept Comp Sci & Engn, Mysuru, Karnataka, India

来源：

PROCEEDINGS OF THE 2019 3RD INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC 2019) | 2019年

关键词：

Natural language Processing; LR parsing; LL Parsing;

D O I：

10.1109/iccmc.2019.8819687

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The main focus of this paper is to deduce which parsing technique is better among the natural language processing techniques. A brief study of LR parsing, its construction and implementation, providing limitations (drawback) on different types of parsing. Comparing LR parsing, through proven results and usage in the field of 'Natural Language Processing' and comparing different methods of parsing. Showing drawbacks of LL parsing and coming to the conclusion that LR is more efficient than other parsing methods.

引用

页码：785 / 788

页数：4

共 50 条

[31] Role of Natural Language Processing in Automatic Detection of Unexpected Findings in Radiology Reports: A Comparative Study of RoBERTa, CNN, and ChatGPT [J].

Lopez-ubeda, Pilar ;

Martin-Noguerol, Teodoro ;

Escartin, Jorge ;

Luna, Antonio .

ACADEMIC RADIOLOGY, 2024, 31 (12) :4833-4842

[32] Language as a biomarker for psychosis: A natural language processing approach [J].

Corcoran, Cheryl M. ;

Mittal, Vijay A. ;

Bearden, Carrie E. ;

Gur, Raquel E. ;

Hitczenko, Kasia ;

Bilgrami, Zarina ;

Savic, Aleksandar ;

Cecchi, Guillermo A. ;

Wolff, Phillip .

SCHIZOPHRENIA RESEARCH, 2020, 226 :158-166

[33] Providing a Natural Language Processing App for Language Teachers [J].

Posekany, Alexandra ;

Dolezal, Dominik .

TOWARDS A HYBRID, FLEXIBLE AND SOCIALLY ENGAGED HIGHER EDUCATION, VOL 1, ICL 2023, 2024, 899 :467-473

[34] A new formal definition of language for natural language processing [J].

Wang, Y ;

Wang, XJ .

Proceedings of the 11th Joint International Computer Conference, 2005, :430-433

[35] Natural language processing in the era of large language models [J].

Zubiaga, Arkaitz .

FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2024, 6

[36] Applications of natural language processing in software traceability: A systematic mapping study? [J].

Pauzi, Zaki ;

Capiluppi, Andrea .

JOURNAL OF SYSTEMS AND SOFTWARE, 2023, 198

[37] Natural language processing to classify electrocardiograms in patients with syncope: A preliminary study [J].

Quinn, James ;

Kim, David ;

Rice, Brian Travis ;

Hao, Wei David .

HEALTH SCIENCE REPORTS, 2022, 5 (06)

[38] Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study [J].

Guetterman, Timothy C. ;

Chang, Tammy ;

DeJonckheere, Melissa ;

Basu, Tanmay ;

Scruggs, Elizabeth ;

Vydiswaran, Vinod .

JOURNAL OF MEDICAL INTERNET RESEARCH, 2018, 20 (06)

[39] Optimizing Natural Language Processing Pipelines: Opinion Mining Case Study [J].

Estevez-Velarde, Suilan ;

Gutierrez, Yoan ;

Montoyo, Andres ;

Almeida-Cruz, Yudivian .

PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS (CIARP 2019), 2019, 11896 :163-173

[40] The DERMACLEAR study: Verification results of a natural language processing system in dermatology [J].

de Frutos, Francisco J. Ortiz ;

Gimenez-Arnau, Ana M. ;

Puig, Lluis ;

Silvestre, Juan F. ;

Serra, Esther ;

Salgado-Boquete, Laura ;

Garcia-Patos, Vicente ;

Estebaranz, Jose L. L. ;

Notario, Jaime ;

Martin-Santiago, Ana ;

Pontevia, Gabriel M. ;

Martin, Victor ;

Guinea, Guillermo ;

Terradas, Pau ;

Dauden, Esteban .

JEADV CLINICAL PRACTICE, 2023, 2 (04) :775-785

← 1 2 3 4 5 →