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1-10 of 13 Reviews about "
Natural Language (H.5.2...)
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The science of detecting LLM-generated text
Tang R., Chuang Y., Hu X. Communications of the ACM 67(4): 50-59, 2024. Type: Article, Reviews: (2 of 2)
While artificial intelligence (AI) applications for natural language processing (NLP) are no longer something new or unexpected, nobody can deny the revolution and hype that started, in late 2022, with the announcement of the first public version ...
Dec 16 2024
Shortcut learning of large language models in natural language understanding
Du M., He F., Zou N., Tao D., Hu X. Communications of the ACM 67110-120, 2024. Type: Article
Du et al. write: “The shortcut learning behavior has significantly affected the robustness of [large language models, LLMs].” Predictions in these models “rely on dataset artifacts and biases within the hypothesis sentence.”...
Nov 21 2024
The science of detecting LLM-generated text
Tang R., Chuang Y., Hu X. Communications of the ACM 67(4): 50-59, 2024. Type: Article, Reviews: (1 of 2)
While large language models (LLMs) like ChatGPT can assist writers with editing, they might hinder students from learning to generate ideas or write creatively....
Nov 4 2024
Natural language processing projects: build next-generation NLP applications using AI techniques
Kulkarni A., Shivananda A., Kulkarni A., Apress, New York, NY, 2022. 336 pp. Type: Book (978-1-484273-85-2)
Natural language processing (NLP) is now quite widely used in many domains, including commerce, social media, and other text analysis tasks. Paired with artificial intelligence (AI), it enables powerful data analytics tools for prediction, automat...
Nov 11 2022
Natural language data management and interfaces
Li Y., Rafiei D., Bonifati A., Morgan&Claypool Publishers, 2018. 156 pp. Type: Book (978-1-681734-08-8)
Natural languages make infinite use of finite means (for example, grammar and vocabulary). Humans in general have no issue understanding a language as they acquire the nuances in specific contexts and learn how to express themselves. S...
Sep 29 2021
A Hadoop based platform for natural language processing of web pages and documents
Nesi P., Pantaleo G., Sanesi G. Journal of Visual Languages and Computing 31, Part B, 130-138, 2015. Type: Article
The digital universe is increasing from year to year and will reach 40 zettabytes in 2020. This growth is due to many reasons, including the Internet of Things (IoT) and new users buying smartphones, tablets, and personal computers (PC...
Mar 10 2016
Evaluation of a context-aware voice interface for ambient assisted living: qualitative user study vs. quantitative system evaluation
Vacher M., Caffiau S., Portet F., Meillon B., Roux C., Elias E., Lecouteux B., Chahuara P. ACM Transactions on Accessible Computing 7(2): 1-36, 2015. Type: Article
Despite the increasing use of mobile technology, in particular smartphones, there are still situations where people in distress may not be able to use such devices. The authors describe a smart home with capabilities intended to assist...
Jul 23 2015
The why UI: using goal networks to improve user interfaces
Smith D., Lieberman H. IUI 2010 (Proceedings of the 14th International Conference on Intelligent User Interfaces, Hong Kong, China, Feb 7-10, 2010) 377-380, 2010. Type: Proceedings
A critical factor that decides the success of an application is the user interface. The more user-friendly and intuitive an interface is, the greater the chance that it will be effective, useful, and used. Smith and Lieberman argue tha...
May 14 2010
Learning effective and engaging strategies for advice-giving human-machine dialogue
Spitters M., De Boni M., Zavrel J., Bonnema R. Natural Language Engineering 15(3): 355-378, 2009. Type: Article
Human-machine dialogue is gaining importance as a means to improve natural language interfaces, user interpretations of machine languages, and the usability of computer systems. Due to advancements in technology, human-computer interfa...
Dec 28 2009
New directions in question answering
Maybury M., AAAI Press, 2004. Type: Book (9780262633048)
Question answering (QA) is a type of information retrieval in which a computerized system performs complex intelligent processing in response to queries posed in natural language (or a reasonable variation thereof). The complex intelli...
Nov 14 2005
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