Results 41 to 50 of about 314,969 (284)
Neural Reranking for Named Entity Recognition
, 2017 We propose a neural reranking system for named entity recognition (NER). The basic idea is to leverage recurrent neural network models to learn sentence-level patterns that involve named entity mentions.
Dong, Fei, Yang, Jie, Zhang, Yue
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Neural Named Entity Recognition for Kazakh
, 2023 We present several neural networks to address the task of named entity recognition for morphologically complex languages (MCL). Kazakh is a morphologically complex language in which each root/stem can produce hundreds or thousands of variant word forms.
Tolegen, Gulmira +3 more
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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
Named Entity Recognition Using Web Document Corpus
, 2011 This paper introduces a named entity recognition approach in textual corpus. This Named Entity (NE) can be a named: location, person, organization, date, time, etc., characterized by instances.
Karaa, Wahiba Ben Abdessalem
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Named Entity recognition without gazetteers [PDF]
Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics -, 1999 It is often claimed that Named Entity recognition systems need extensive gazetteers---lists of names of people, organisations, locations, and other named entities. Indeed, the compilation of such gazetteers is sometimes mentioned as a bottleneck in the design of Named Entity recognition systems.We report on a Named Entity recognition system which ...
Andrei Mikheev +2 more
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ISPRS International Journal of Geo-Information, 2023 Social media is widely used to share real-time information and report accidents during natural disasters. Named entity recognition (NER) is a fundamental task of geospatial information applications that aims to extract location names from natural ...
Wei Zhang +7 more
doaj +1 more source
Learning Dictionaries for Named Entity Recognition using Minimal Supervision [PDF]
, 2014 This paper describes an approach for automatic construction of dictionaries for Named Entity Recognition (NER) using large amounts of unlabeled data and a few seed examples.
Collins, Michael, Neelakantan, Arvind
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Deep learning-based methods for natural hazard named entity recognition
Scientific Reports, 2022 Natural hazard named entity recognition is a technique used to recognize natural hazard entities from a large number of texts. The method of natural hazard named entity recognition can facilitate acquisition of natural hazards information and provide ...
Junlin Sun +3 more
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HMM based Korean Named Entity Recognition [PDF]
Journal of Systemics, Cybernetics and Informatics, 2003 In this paper, we present a named entity recognition model for Korean Language. Named entity recognition is an essential and important process of Question Answering and Information Extraction system.
Yi-Gyu Hwang +2 more
doaj
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source