Results 71 to 80 of about 2,702,605 (333)
Named Entity Recognition - Is There a Glass Ceiling? [PDF]
Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019 Accepted to CoNLL ...
Tomasz Stanislawek +4 more
openaire +3 more sources
Research Progress of Named Entity Recognition Based on Large Language Model [PDF]
Jisuanji kexue yu tansuoNamed entity recognition aims to identify named entities and their types from unstructured text, which is an important basic task in natural language processing technologies such as question answering system, machine translation and knowledge graph. With
LIANG Jia, ZHANG Liping, YAN Sheng, ZHAO Yubo, ZHANG Yawen
doaj +1 more source
DroNER: Dataset for drone named entity recognition
Data in Brief, 2023 The dataset is constructed from the drone flight log messages extracted from publicly available drone image datasets provided by VTO Labs under the Drone Forensic Program.
Swardiantara Silalahi +2 more
doaj +1 more source
Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition
Web Search and Data Mining, 2023 Visual information shows to empower accurately named entity recognition in short texts, such as posts from social media. Previous work on multimodal named entity recognition (MNER) often regards an image as a set of visual objects, trying to explicitly ...
Xin Zhang +3 more
semanticscholar +1 more source
Annual Meeting of the Association for Computational Linguistics, 2020 In this paper, we study Multimodal Named Entity Recognition (MNER) for social media posts. Existing approaches for MNER mainly suffer from two drawbacks: (1) despite generating word-aware visual representations, their word representations are insensitive
Jianfei Yu, Jing Jiang, Li Yang, Rui Xia
semanticscholar +1 more source
OWNER — Toward Unsupervised Open-World Named Entity Recognition
IEEE AccessNamed Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), traditionally addressed through supervised learning, which requires extensive annotated corpora. This requirement poses challenges, particularly in specialized domains
Pierre-Yves Genest +3 more
doaj +1 more source
A review of named entity recognition: from learning methods to modelling paradigms and tasks
Artificial Intelligence ReviewNamed Entity Recognition (NER) is commonly used when summarising news articles and legal documents. It can extract the names of politicians or organisations and help determine the aspect of a positive or negative sentiment.
Wei Liang Seow +4 more
semanticscholar +1 more source
Fine-Grained Multimodal Named Entity Recognition and Grounding with a Generative Framework
ACM Multimedia, 2023 Multimodal Named Entity Recognition (MNER) aims to locate and classify named entities mentioned in a pair of text and image. However, most previous MNER works focus on extracting entities in the form of text but failing to ground text symbols to their ...
Jie-Ming Wang +4 more
semanticscholar +1 more source
Biomedical Named Entity Recognition at Scale [PDF]
, 2021 Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc. In the medical domain, NER plays a crucial role by extracting meaningful chunks from clinical notes and reports, which are then fed to downstream tasks like assertion status ...
Veysel Kocaman, David Talby
openaire +3 more sources
Transfer learning for Turkish named entity recognition on noisy text [PDF]
, 2019 This is an accepted manuscript of an article published by Cambridge University Press in Natural Language Engineering on 28/01/2020, available online: https://doi.org/10.1017/S1351324919000627 The accepted version of the publication may differ from the ...
Can, Burcu, Kagan Akkaya, E
core +1 more source