Results 41 to 50 of about 1,312,358 (341)
Bootstrapping Knowledge Graphs From Images and Text
Frontiers in Neurorobotics, 2019 The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation.
Jiayuan Mao +7 more
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Automatic Construction of Chinese Nested Named Entity Recognition Corpus Based on Wikipedia [PDF]
Jisuanji gongcheng, 2018 Traditional supervised learning method needs to label the corpus in a certain scale,which limits its domain adaptability.Therefore,a method of automatically constructing a Chinese nested named entity recognition corpus from Chinese Wikipedia entries is ...
LI Yanqun,HE Yunqi,QIAN Longhua,ZHOU Guodong
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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
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Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Molecular Oncology, EarlyView.Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
Improving negative rejection ability in language models: A review of fine-tuned LLMs, RAG, and RAFT
Journal of King Saud University: Computer and Information SciencesLarge Language Models (LLMs) excel in text understanding and generation but struggle to reject irrelevant, ambiguous, or misleading queries, termed negative rejection, impacting reliability in high-stakes contexts.
Li Bowen +4 more
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Research in natural language processing [PDF]
Proceedings of the workshop on Speech and Natural Language - HLT '91, 1992 Our central research focus is on the automatic acquisition of knowledge about language (both syntactic and semantic) from corpora. We wish to understand how the knowledge so acquired can enhance natural language applications, including document retrieval, information extraction, and machine translation.
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SKOPE: A connectionist/symbolic architecture of spoken Korean processing
, 1995 Spoken language processing requires speech and natural language integration. Moreover, spoken Korean calls for unique processing methodology due to its linguistic characteristics.
Lee, Geunbae, Lee, Jong-Hyeok
core +1 more source
FEBS Open Bio, EarlyView.Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu +10 more
wiley +1 more source
IEEE AccessAutomatic text summarization (ATS), alongside neural machine translation or question answering, is one of the leading tasks in Natural Language Processing (NLP).
Adam Hajek, Ales Horak
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Research in natural language processing [PDF]
Proceedings of the workshop on Human Language Technology - HLT '94, 1994 The main objective is to develop robust methods for the understanding and generation of both written and spoken human language, including but not limited to English. Penn is pursuing development of: (1) New mathematical and computational frameworks which are highly constrained, yet adequate to allow a simple, concise description of complex linguistic ...
Aravind K. Joshi +3 more
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