Results 41 to 50 of about 302,572 (324)

Natural language processing [PDF]

, 2003
Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information ...
Adams, Amsler, Bangalore, Barker, Benoît, Bian, Bondale, Carrick, Ceric, Chandrasekar, Chang, Charniak, Chen, Chowdhury, Chowdhury, Costantino, Cowie, Craven, Craven, Craven, Dogru, Evans, Feldman, Fernandez, Gaizauskas, Glasgow, Haas, Hayes, Hayes, Hedlund, Herath, Ide, Isahara, Jelinek, Jeong, Jurafsky, Kazakov, Kehler, Khoo, Kim, King, Lange, Lee, Lehmam, Lehtokangas, Lewis, Liddy, Liddy, Lovis, Ma, Magnini, Mani, Manning, Marquez, Martinez, Martinez, McMurchie, Meyer, Mihalcea, Mock, Moens, Morin, Narita, Nerbonne, Oard, Ogura, Oudet, Owei, Paris, Pasero, Pedersen, Perez-Carballo, Petreley, Pirkola, Poesio, Rosenfield, Roux, Say, Scarlett, Schenker, Silber, Smeaton, Smeaton, Smith, Sokol, Song, Sparck Jones, Staab, Stock, Tolle, Trybula, Tsuda, Vickery, Waldrop, Warner, Weigard, Wilks, Wong, Yang, Yang, Zadrozny, Zweigenbaum   +101 more
core   +1 more source

IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP [PDF]

International Conference on Computational Linguistics, 2020
Although the Indonesian language is spoken by almost 200 million people and the 10th most spoken language in the world, it is under-represented in NLP research.
Fajri Koto, Afshin Rahimi, Jey Han Lau, Timothy Baldwin   +3 more
semanticscholar   +1 more source

Natural Language Processing and Language Technologies for the Basque Language

Cuadernos Europeos de Deusto, 2022
The presence of a language in the digital domain is crucial for its survival, as online communication and digital language resources have become the standard in the last decades and will gain more importance in the coming years.
Itziar Gonzalez-Dios, Begoña Altuna
doaj   +1 more source

Automated Metric Analysis of Spanish Poetry: Two Complementary Approaches

IEEE Access, 2021
The automatic metric analysis (commonly referred to as scansion) of Spanish poetry is not a trivial problem since it combines the nuances of the language, the different poetic traditions related to melodic patterns, and the personal stylistic preferences
Guillermo Marco, Javier De La Rosa, Julio Gonzalo, Salvador Ros, Elena Gonzalez-Blanco   +4 more
doaj   +1 more source

Grounding ‘Grounding’ in NLP [PDF]

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021
The NLP community has seen substantial recent interest in grounding to facilitate interaction between language technologies and the world. However, as a community, we use the term broadly to reference any linking of text to data or non-textual modality. In contrast, Cognitive Science more formally defines "grounding" as the process of establishing what
Chandu, Khyathi Raghavi, Bisk, Yonatan, Black, Alan W   +2 more
openaire   +2 more sources

The State of Human-centered NLP Technology for Fact-checking [PDF]

Information Processing & Management, 2023
Misinformation threatens modern society by promoting distrust in science, changing narratives in public health, heightening social polarization, and disrupting democratic elections and financial markets, among a myriad of other societal harms. To address
Anubrata Das, Houjiang Liu, Venelin Kovatchev, Matthew Lease   +3 more
semanticscholar   +1 more source

ERASER: A Benchmark to Evaluate Rationalized NLP Models [PDF]

Annual Meeting of the Association for Computational Linguistics, 2019
State-of-the-art models in NLP are now predominantly based on deep neural networks that are opaque in terms of how they come to make predictions. This limitation has increased interest in designing more interpretable deep models for NLP that reveal the ...
Jay DeYoung, Sarthak Jain, Nazneen Rajani, Eric P. Lehman, Caiming Xiong, R. Socher, Byron C. Wallace   +6 more
semanticscholar   +1 more source

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

Conference on Empirical Methods in Natural Language Processing, 2020
While there has been substantial research using adversarial attacks to analyze NLP models, each attack is implemented in its own code repository. It remains challenging to develop NLP attacks and utilize them to improve model performance.
John X. Morris, Eli Lifland, Jin Yong Yoo, J. Grigsby, Di Jin, Yanjun Qi   +5 more
semanticscholar   +1 more source

GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP [PDF]

Conference on Empirical Methods in Natural Language Processing, 2023
ChatGPT's emergence heralds a transformative phase in NLP, particularly demonstrated through its excellent performance on many English benchmarks. However, the model's efficacy across diverse linguistic contexts remains largely uncharted territory.
Md. Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi, M. Abdul-Mageed   +3 more
semanticscholar   +1 more source

On the crucial role of multilingual biomedical databases in epidemic events (SARS-CoV-2 analysis)

International Journal of Infectious Diseases, 2020
The need for multilingual biomedical databases was already pointed out by different authors. They argue about the need for making translations available in other languages and centralized access to regional databases and that one should not disregard ...
Felipe Soares, Gabrielli Harumi Yamashita   +1 more
doaj   +1 more source