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Nature Communications, 2023
The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While Large Language Models (LLMs) have shown promise in general domains, their
Qingyu Chen +8 more
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The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While Large Language Models (LLMs) have shown promise in general domains, their
Qingyu Chen +8 more
semanticscholar +1 more source
Computer Physics Communications, 1990
Abstract In this paper we present an overview of the problems automated natural language processing is confronted with and present an outline of methods which have been developed for solving these problems. We put particular emphasis on the importance of knowledge and techniques to achieve co-operative system behavior.
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Abstract In this paper we present an overview of the problems automated natural language processing is confronted with and present an outline of methods which have been developed for solving these problems. We put particular emphasis on the importance of knowledge and techniques to achieve co-operative system behavior.
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WIREs Computational Statistics, 2010
AbstractApproximately 40 years ago, the goal of endowing computers with the capacity to understand natural language began. These efforts were originally callednatural language understanding, which is now more frequently callednatural language processing(NLP).
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AbstractApproximately 40 years ago, the goal of endowing computers with the capacity to understand natural language began. These efforts were originally callednatural language understanding, which is now more frequently callednatural language processing(NLP).
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2020
Natural language processing (NLP) is an interdisciplinary subfield, which has components from major fields such as linguistics, computer science, and artificial intelligence. NLP is mainly concerned with the interaction between humans and computers. The scope of NLP ranges from computational understanding and generation of human languages to processing
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Natural language processing (NLP) is an interdisciplinary subfield, which has components from major fields such as linguistics, computer science, and artificial intelligence. NLP is mainly concerned with the interaction between humans and computers. The scope of NLP ranges from computational understanding and generation of human languages to processing
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Natural language processing applications for low-resource languages
Natural Language ProcessingNatural language processing (NLP) has significantly advanced our ability to model and interact with human language through technology. However, these advancements have disproportionately benefited high-resource languages with abundant data for training ...
Partha Pakray +2 more
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Processing Natural Language without Natural Language Processing
2003We can still create computer programs displaying only the most rudimentary natural language processing capabilities. One of the greatest barriers to advanced natural language processing is our inability to overcome the linguistic knowledge acquisition bottleneck.
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Natural Language Processing for Dialects of a Language: A Survey
ACM Computing SurveysState-of-the-art natural language processing (NLP) models are trained on massive training corpora, and report a superlative performance on evaluation datasets.
Aditya Joshi +6 more
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Communications of the ACM, 1996
Publisher Summary This chapter deals with the topic of natural language processing in the field of artificial intelligence (AI). The subject of natural language processing covers processing issues at all levels of natural language understanding including speech recognition, syntactic and semantic analysis of sentences, reference to the discourse ...
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Publisher Summary This chapter deals with the topic of natural language processing in the field of artificial intelligence (AI). The subject of natural language processing covers processing issues at all levels of natural language understanding including speech recognition, syntactic and semantic analysis of sentences, reference to the discourse ...
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Retrieval-Augmented Generation for Natural Language Processing: A Survey
arXiv.orgLarge language models (LLMs) have demonstrated great success in various fields, benefiting from their huge amount of parameters that store knowledge. However, LLMs still suffer from several key issues, such as hallucination problems, knowledge update ...
Shangyu Wu +10 more
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Natural Language Processing Basics
Clinical Journal of the American Society of Nephrology, 2023Naveen Arivazhagan, Tielman T. Van Vleck
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