Results 51 to 60 of about 10,655,437 (309)
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
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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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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Natural Language Processing and Information Systems
, 2023 This book constitutes the refereed proceedings of the 28th International Conference on Applications of Natural Language to Information Systems, NLDB 2023, held in Derby, UK, in June 21–23, 2023.
core +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 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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On robustness for natural language processing
PhD thesis, 2023 As a discipline, machine learning has contributed to significant breakthroughs in Natural Language Processing (NLP), aiming to design algorithms to manipulate text and produce insights, such as classification and summarization, comparable to those of humans.
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Interactive Natural Language Processing
CoRR, 2023 Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm considers language models as agents capable of observing, acting, and receiving feedback iteratively from external
Zekun Wang +21 more
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Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
VoicePAT: An Efficient Open-Source Evaluation Toolkit for Voice Privacy Research
IEEE Open Journal of Signal ProcessingSpeaker anonymization is the task of modifying a speech recording such that the original speaker cannot be identified anymore. Since the first Voice Privacy Challenge in 2020, along with the release of a framework, the popularity of this research topic ...
Sarina Meyer +2 more
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