Results 271 to 280 of about 302,572 (324)

ChatGPT: Unlocking the Future of NLP in Finance

Social Science Research Network, 2023
This paper reviews the current state of ChatGPT technology in finance and its potential to improve existing NLP-based financial applications. We discuss the ethical and regulatory considerations, as well as potential future research directions in the ...
Adam Zaremba, Ender Demir
semanticscholar   +1 more source

Large Language Models Meet NLP: A Survey

Frontiers Comput. Sci.
While large language models (LLMs) like ChatGPT have shown impressive capabilities in Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this field remains largely unexplored. This study aims to address this gap
Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu   +8 more
semanticscholar   +1 more source

Multilingual NLP

International Journal of Advanced Engineering and Nano Technology, 2023
The subject area of multilingual natural language processing (NLP) is concerned with the processing of natural language data in several languages. NLP systems that can translate between languages are becoming more and more necessary as the globe gets more interconnected in order to promote understanding and communication among speakers of various ...
openaire   +1 more source

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

arXiv.org
Large language models (LLMs) have shown remarkable performance on many different Natural Language Processing (NLP) tasks. Prompt engineering plays a key role in adding more to the already existing abilities of LLMs to achieve significant performance ...
Shubham Vatsal, Harsh Dubey
semanticscholar   +1 more source

Natural language processing (NLP) in management research: A literature review

Journal of Management Analytics, 2020
Natural language processing (NLP) is gaining momentum in management research for its ability to automatically analyze and comprehend human language.
Yue Kang, Zhao Cai, Chee‐Wee Tan, Qian Huang, Hefu Liu   +4 more
semanticscholar   +1 more source

NLP-PIPE: Latvian NLP Tool Pipeline

2018
The paper introduces a modular pipeline that allows to combine multiple Natural Language Processing tools into a unified framework. It aims to make NLP technology more accessible for researchers, non-experts and software developers. The paper describes the architecture of NLP-PIPE and presents publicly available NLP components for Latvian.
Znotiņš Artūrs, Cīrule Elita   +1 more
openaire   +1 more source

Sketching NLP

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
This paper investigates how to sketch NLP-powered user experiences. Sketching is a cornerstone of design innovation. When sketching, designers rapidly experiment with a number of abstract ideas using simple, tangible instruments such as drawings and paper prototypes. Sketching NLP-powered experiences, however, presents challenges, i.e. How to visualize
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi T. Iqbal, Jaime Teevan   +4 more
openaire   +1 more source

DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages

Annual Meeting of the Association for Computational Linguistics
Language technologies should be judged on their usefulness in real-world use cases. An often overlooked aspect in natural language processing (NLP) research and evaluation is language variation in the form of non-standard dialects or language varieties ...
FAHIM FAISAL, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov, Antonios Anastasopoulos   +6 more
semanticscholar   +1 more source

NLP@Desktop

ACM SIGSOFT Software Engineering Notes, 2013
Research and development in Natural Language Processing (NLP) has made significant progress over the last decade. Many robust NLP systems have been developed for handling machine translation, question-answering, summarization, topic detection, cluster analysis, information extraction, named entity recognition (NER), etc. Despite this advancement in NLP
Indu S., Srinivas N.K., Harish P.J., GangaPrasad R., Nobby Varghese, N.S. Sreekanth, Supriya N. Pal   +6 more
openaire   +1 more source

Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions

International Conference on Language Resources and Evaluation
Emotions are a central aspect of communication. Consequently, emotion analysis (EA) is a rapidly growing field in natural language processing (NLP). However, there is no consensus on scope, direction, or methods.
Flor Miriam Plaza del Arco, Alba Curry, A. C. Curry, Dirk Hovy   +3 more
semanticscholar   +1 more source