Results 251 to 260 of about 709,306 (283)
Some of the next articles are maybe not open access.
2014
Named entity recognition (NER) is the problem of locating and categorizing important nouns and proper nouns in a text. In this chapter, we review the general state of research on entity recognition, relevant challenges and the current state of the art works on named entity recognition on Semitic languages.
openaire +1 more source
Named entity recognition (NER) is the problem of locating and categorizing important nouns and proper nouns in a text. In this chapter, we review the general state of research on entity recognition, relevant challenges and the current state of the art works on named entity recognition on Semitic languages.
openaire +1 more source
Entity relationship extraction optimization based on entity recognition
2019 International Conference on Image and Video Processing, and Artificial Intelligence, 2019Chinese entity relationship is usually stored in the form of a triple, usually based on dependent on its syntactic and semantic role labeling way of information extraction, the method to extract the entities may be greatly influenced by noise, this paper USES neural network is optimized by the recognition of Chinese entities triples, abstracted from ...
Yanru Zhong +4 more
openaire +1 more source
Crowdsourcing Named Entity Recognition and Entity Linking Corpora
2017This chapter describes our experience with crowdsourcing a corpus containing named entity annotations and their linking to DBpedia. The corpus consists of around 10,000 tweets and is still growing, as new social media content is added. We first define the methodological framework for crowdsourcing entity annotated corpora, which combines expert-based ...
Kalina Bontcheva +2 more
openaire +1 more source
Named Entity Recognition Using Gazetteer of Hierarchical Entities
2019This paper presents a named entity recognition method which finds predetermined entities in an unstructured text. The method uses word similarities based on typical word transformations (lemmatization and stemming), word embeddings and character level based similarity to map those entities onto words in the text.
Miha Štravs, Jernej Zupančič
openaire +1 more source
Entity Subword Encoding for Chinese Long Entity Recognition
2019Named entity recognition (NER) is a fundamental and important task in natural language processing area, which jointly predicts entity boundaries and pre-defined categories. For Chinese NER task, recognition of long entities has not been well addressed yet.
Changyu Hou, Meiling Wang, Changliang Li
openaire +1 more source
Named entity recognition for Chinese marine text with knowledge-based self-attention
Multimedia Tools and Applications, 2021Shufeng He
exaly
Named Entity Recognition and Relation Extraction
ACM Computing Surveys, 2022Zara Nasar +2 more
exaly
Nested Named Entity Recognition: A Survey
ACM Transactions on Knowledge Discovery From Data, 2022Yu Wang, Hanghang Tong, Ziye Zhu
exaly
Chinese mineral named entity recognition based on BERT model
Expert Systems With Applications, 2022Yuzhu Wang, Zhenhua Wang
exaly