An MRC and adaptive positive‐unlabeled learning framework for incompletely labeled named entity recognition
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23015
Abstract: Currently, named entity recognition (NER) is mainly evaluated on standard and well‐annotated data sets. However, the construction of a well‐annotated data set will consume a lot of manpower and time. In lots of applications of… read more here.
Keywords: entity recognition; entity; framework; unlabeled entities ... See more keywords
A deep neural network-based model for named entity recognition for Hindi language
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04881-z
Abstract: The aim of this work is to develop efficient named entity recognition from the given text that in turn improves the performance of the systems that use natural language processing (NLP). The performance of IoT-based… read more here.
Keywords: network; entity recognition; model; neural network ... See more keywords
Combining rule-based and statistical mechanisms for low-resource named entity recognition
Sign Up to like & getrecommendations! Published in 2017 at "Machine Translation"
DOI: 10.1007/s10590-017-9208-0
Abstract: We describe a multifaceted approach to named entity recognition that can be deployed with minimal data resources and a handful of hours of non-expert annotation. We describe how this approach was applied in the 2016… read more here.
Keywords: rule based; named entity; entity recognition;
TL-NER: A Transfer Learning Model for Chinese Named Entity Recognition
Sign Up to like & getrecommendations! Published in 2020 at "Information Systems Frontiers"
DOI: 10.1007/s10796-019-09932-y
Abstract: Most of the current research on Named Entity Recognition (NER) in the Chinese domain is based on the assumption that annotated data are adequate. However, in many scenarios, the sufficient amount of annotated data required… read more here.
Keywords: learning model; transfer learning; named entity; entity recognition ... See more keywords
Adversarial training based lattice LSTM for Chinese clinical named entity recognition
Sign Up to like & getrecommendations! Published in 2019 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2019.103290
Abstract: Clinical named entity recognition (CNER), which intends to automatically detect clinical entities in electronic health record (EHR), is a committed step for further clinical text mining. Recently, more and more deep learning models are used… read more here.
Keywords: clinical named; entity recognition; adversarial training; lattice lstm ... See more keywords
Towards Chinese clinical named entity recognition by dynamic embedding using domain-specific knowledge
Sign Up to like & getrecommendations! Published in 2020 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2020.103435
Abstract: The task of electronic medical record named entity recognition (NER) refers to automatically identify all kinds of named entities in the medical record text. Chinese clinical NER remains a major challenge. One of the main… read more here.
Keywords: entity recognition; named entity; domain; chinese clinical ... See more keywords
An attention-based multi-task model for named entity recognition and intent analysis of Chinese online medical questions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2020.103511
Abstract: In this paper, we propose an attention-based multi-task neural network model for text classification and sequence tagging and then apply it to the named entity recognition and the intent analysis of Chinese online medical questions.… read more here.
Keywords: multi task; entity recognition; intent analysis; recognition intent ... See more keywords
Privacy-Preserving Mimic Models for clinical Named Entity Recognition in French.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2022.104073
Abstract: A vast amount of crucial information about patients resides solely in unstructured clinical narrative notes. There has been a growing interest in clinical Named Entity Recognition (NER) task using deep learning models. Such approaches require… read more here.
Keywords: privacy preserving; named entity; model; privacy ... See more keywords
A Semi-automatic and low-cost method to learn patterns for named entity recognition*
Sign Up to like & getrecommendations! Published in 2017 at "Natural Language Engineering"
DOI: 10.1017/s135132491700016x
Abstract: Abstract Named Entity Recognition is a basic task in Information Extraction that aims at identifying entities of interest within full text documents. The patterns used to recognize entities can be rule based, as in the… read more here.
Keywords: semi automatic; named entity; method; entity recognition ... See more keywords
Single Model for Organic and Inorganic Chemical Named Entity Recognition in ChemDataExtractor
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.1c01199
Abstract: Chemical Named Entity Recognition (NER) forms the basis of information extraction tasks in the chemical domain. However, while such tasks can involve multiple domains of chemistry at the same time, currently available named entity recognizers… read more here.
Keywords: chemistry; chemical named; chemical; named entity ... See more keywords
Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac342
Abstract: The rapid development of biomedicine has produced a large number of biomedical written materials. These unstructured text data create serious challenges for biomedical researchers to find information. Biomedical named entity recognition (BioNER) and biomedical relation… read more here.
Keywords: bioner; entity recognition; relation extraction; bioner biore ... See more keywords