Results 31 to 40 of about 8,669 (85)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

Northern European Journal of Language Technology, 2023
Data augmentation is an important method for evaluating the robustness of and enhancing the diversity of training data for natural language processing (NLP) models.
Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahadiran, Simon Mille, Ashish Shrivastava, Samson Tan, Tongshang Wu, Jascha Sohl-Dickstein, Jinho Choi, Eduard Hovy, Ondřej Dušek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honoré, Ishan Jindal, Przemysław Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxine Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Meunnighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Vasconcellos Samus, Ananya Sai, Robin Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, Aditya Srivatsa, Tony Sun, Mukund Varma, A Tabassum, Fiona Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyu Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael Yee, Jing Zhang, Yue Zhang   +124 more
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Analysis Methods in Neural Language Processing: A Survey

Transactions of the Association for Computational Linguistics, 2019
The field of natural language processing has seen impressive progress in recent years, with neural network models replacing many of the traditional systems.
Belinkov, Yonatan, Glass, James
doaj   +1 more source

A survey on chatbots and large language models: Testing and evaluation techniques

Natural Language Processing Journal
Chatbots have been quite developed in the recent decades and evolved along with the field of Artificial Intelligence (AI), enabling powerful capabilities in tasks such as text generation and summarization, sentiment analysis, and many other interesting ...
Sonali Uttam Singh, Akbar Siami Namin
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A Generative Model for Punctuation in Dependency Trees

Transactions of the Association for Computational Linguistics, 2019
Treebanks traditionally treat punctuation marks as ordinary words, but linguists have suggested that a tree’s “true” punctuation marks are not observed (Nunberg, 1990).
Li, Xiang Lisa, Wang, Dingquan, Eisner, Jason   +2 more
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What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models

Transactions of the Association for Computational Linguistics, 2020
Pre-training by language modeling has become a popular and successful approach to NLP tasks, but we have yet to understand exactly what linguistic capacities these pre-training processes confer upon models.
Ettinger, Allyson
doaj   +1 more source

Mobile learning for less-commonly taught languages: design and application

Journal of China Computer-Assisted Language Learning
The increasing development of emerging technologies contributes to ubiquitous and personalized language learning. Hence this study reported a project of designing and applying mobile learning for a less-commonly taught language, Fijian language, at a ...
Tang Jinlan, Zhai Yuming, Li Lingxiao, Liu Peixin, Deng Hongxun   +4 more
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Tweet question classification for enhancing Tweet Question Answering System

Natural Language Processing Journal
In the evolving landscape of social media, effective Question Answering (QA) systems are crucial for enhancing user engagement and satisfaction. Question classification (QC) is vital for improving the efficiency and accuracy of QA systems.
Chindukuri Mallikarjuna, Sangeetha Sivanesan   +1 more
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CapsF: Capsule Fusion for Extracting psychiatric stressors for suicide from Twitter

Natural Language Processing Journal
Along with factors such as cancer, blood pressure, street accidents and stroke, suicide has been one of Iran’s main causes of death. One of the main reasons for suicide is psychological stressors.
Mohammad Ali Dadgostarnia, Ramin Mousa, Saba Hesaraki, Mahdi Hemmasian   +3 more
doaj   +1 more source