Zobrazeno 1 - 10
of 978 480
pro vyhledávání: '"Ner"'
Autor:
Abdullah, Abdulhady Abas, Abdulla, Srwa Hasan, Toufiq, Dalia Mohammad, Maghdid, Halgurd S., Rashid, Tarik A., Farho, Pakshan F., Sabr, Shadan Sh., Taher, Akar H., Hamad, Darya S., Veisi, Hadi, Asaad, Aras T.
Nowadays, Natural Language Processing (NLP) is an important tool for most people's daily life routines, ranging from understanding speech, translation, named entity recognition (NER), and text categorization, to generative text models such as ChatGPT
Externí odkaz:
http://arxiv.org/abs/2412.15252
Autor:
Sahin, Taha Koray1 (AUTHOR) takorsah@gmail.com, Ayasun, Ruveyda2 (AUTHOR) ayasunr@gmail.com, Rizzo, Alessandro3 (AUTHOR) rizzo.alessandro179@gmail.com, Guven, Deniz Can4 (AUTHOR) denizcguven@hotmail.com
Publikováno v:
Cancers. Nov2024, Vol. 16 Issue 21, p3689. 11p.
Autor:
Qiao, Yaqiong, Peng, Shixuan
Chinese Named Entity Recognition (NER) is an important task in information extraction, which has a significant impact on downstream applications. Due to the lack of natural separators in Chinese, previous NER methods mostly relied on external diction
Externí odkaz:
http://arxiv.org/abs/2412.10858
Autor:
Bachinger, Sarah T., Unger, Christoph, Erd, Robin, Feddoul, Leila, Lachenmaier, Clara, Zarrieß, Sina, König-Ries, Birgitta
We apply NER to a particular sub-genre of legal texts in German: the genre of legal norms regulating administrative processes in public service administration. The analysis of such texts involves identifying stretches of text that instantiate one of
Externí odkaz:
http://arxiv.org/abs/2412.02427
Autor:
Cabral, Rina Carines, Han, Soyeon Caren, Alhassan, Areej, Batista-Navarro, Riza, Nenadic, Goran, Poon, Josiah
Discontinuous Named Entity Recognition (DNER) presents a challenging problem where entities may be scattered across multiple non-adjacent tokens, making traditional sequence labelling approaches inadequate. Existing methods predominantly rely on cust
Externí odkaz:
http://arxiv.org/abs/2411.01839
Autor:
Ventirozos, Filippos, Nteka, Ioanna, Nandy, Tania, Baca, Jozef, Appleby, Peter, Shardlow, Matthew
This paper presents a case study on the development of Auto-AdvER, a specialised named entity recognition schema and dataset for text in the car advertisement genre. Developed with industry needs in mind, Auto-AdvER is designed to enhance text mining
Externí odkaz:
http://arxiv.org/abs/2412.05655
Autor:
Gaillard, Hélène1,2 (AUTHOR) gaillard@us.es, Ciudad, Toni3 (AUTHOR), Aguilera, Andrés1,2 (AUTHOR), Wellinger, Ralf E.1,2 (AUTHOR)
Publikováno v:
PLoS Genetics. 9/10/2024, Vol. 20 Issue 9, p1-17. 17p.
Named entity recognition (NER) is a crucial task that aims to identify structured information, which is often replete with complex, technical terms and a high degree of variability. Accurate and reliable NER can facilitate the extraction and analysis
Externí odkaz:
http://arxiv.org/abs/2410.12750