Results 51 to 60 of about 379,251 (377)
Study on Chinese Named Entity Extraction Rules Based on Boundary Location and Correction [PDF]
Jisuanji kexue, 2023 Compared with English text which is naturally composed of words,Chinese text has no word delimiters,so the combination of Chinese characters is more flexible,and it's more difficult to determine the entity boundaries in Chinese named entity recognition ...
LIU Pan, GUO Yanming, LEI Jun, LAO Mingrui, LI Guohui
doaj +1 more source
Named Entity Recognition and Named Entity Linking on Esports Contents [PDF]
Annals of Computer Science and Information Systems, 2020 We built a named entity recognition system on Esports News. We established an ontology for Esports-related entities, collected and annotated corpus from 80 articles on four different Esports titles. We also trained a CRF and a BERT-based entity recognizer, built a basic DOTA2 knowledge base, and an entity linker that links mentions of entities to ...
Ziyu Liu +3 more
openaire +2 more sources
Code and Named Entity Recognition in StackOverflow [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 updated with better results. (To appear in ACL 2020)
Jeniya Tabassum +3 more
openaire +3 more sources
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Named entity recognition (NER) is a well-studied task in natural language processing. Traditional NER research only deals with flat entities and ignores nested entities.
Yongliang Shen +5 more
semanticscholar +1 more source
MALAY NAMED ENTITY RECOGNITION USING RULE BASED APPROACH
Asia-Pacific Journal of Information Technology and Multimedia, 2019 Named Entity Recognition (NER) research based on rule is widely investigated and is used in various languages mainly English. However, the English NER rules are different with Malay language due to different morphology. Some of challenging issue in Malay
Ulfa Nadia, Nazlia Omar
doaj +1 more source
Named Entity Recognition - Is There a Glass Ceiling? [PDF]
Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019 Accepted to CoNLL ...
Przemyslaw Biecek +4 more
openaire +3 more sources
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
International Workshop on Semantic Evaluation, 2022 We present the findings of SemEval-2022 Task 11 on Multilingual Complex Named Entity Recognition MULTICONER. Divided into 13 tracks, the task focused on methods to identify complex named entities (like names of movies, products and groups) in 11 ...
S. Malmasi +4 more
semanticscholar +1 more source
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 African languages are spoken by over a billion people, but they are under-represented in NLP research and development. Multiple challenges exist, including the limited availability of annotated training and evaluation datasets as well as the lack of ...
David Ifeoluwa Adelani +44 more
semanticscholar +1 more source
Cross-Lingual Named Entity Recognition Based on Attention and Adversarial Training
Applied Sciences, 2023 Named entity recognition aims to extract entities with specific meaning from unstructured text. Currently, deep learning methods have been widely used for this task and have achieved remarkable results, but it is often difficult to achieve better results
Hao Wang +3 more
doaj +1 more source
Multi-grained Named Entity Recognition [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 In ACL 2019 as a long ...
Yaliang Li +8 more
openaire +4 more sources