Results 31 to 40 of about 3,831,007 (189)
Multi-feature Chinese named entity recognition
四川大学学报. 自然科学版, 2022 The task of named entity recognition is to locate the entities in the text and classify them into predefined categories. The current mainstream Chinese named entity recognition models are characterbased named entity recognition models which word ...
XU Xiao-Bo +4 more
doaj
Few-shot Named Entity Ｒecognition for Medical Text
Journal of Harbin University of Science and Technology, 2021 Aiming at the problem that medical text named entity recognition lacks sufficient labeled data，a newly named entity recognition deep neural network and data enhancement method is proposed.
QIN Jian +3 more
doaj +1 more source
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition
, 2022 Gazetteer is widely used in Chinese named entity recognition (NER) to enhance span boundary detection and type classification. However, to further understand the generalizability and effectiveness of gazetteers, the NLP community still lacks a systematic analysis of the gazetteer-enhanced NER model.
Qianglong Chen +6 more
openaire +2 more sources
Chinese Named Entity Recognition Method Based on BERT Embedding [PDF]
Jisuanji gongcheng, 2020 In Chinese Named Entity Recognition(NER) based on neural network,the vectorized representation of words is an important step.Traditional representation methods for word vectors only map a word to a single vector,and cannot represent the polysemy of a ...
YANG Piao, DONG Wenyong
doaj +1 more source
Reordering in statistical machine translation [PDF]
, 2012 PhDMachine translation is a challenging task that its difficulties arise from several characteristics of natural language. The main focus of this work is on reordering as one of the major problems in MT and statistical MT, which is the method ...
Yahyaei, Mohammad Sirvan
core +4 more sources
Chinese Named Entity Recognition Augmented with Lexicon Memory
Journal of Computer Science and Technology, 2023 Inspired by a concept of content-addressable retrieval from cognitive science, we propose a novel fragment-based model augmented with a lexicon-based memory for Chinese NER, in which both the character-level and word-level features are combined to generate better feature representations for possible name candidates.
Yi Zhou 0018 +2 more
openaire +3 more sources
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
Entity Linking Method for Chinese Short Text Based on Siamese-Like Network
Information, 2022 Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer.
Yang Zhang, Jin Liu, Bo Huang, Bei Chen
doaj +1 more source
Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity [PDF]
, 2006 In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers ...
Turney, Peter +8 more
core +1 more source
Using Chinese Glyphs for Named Entity Recognition
CoRR, 2019 Extended abstract accepted to AAAI-2020, student ...
Arijit Sehanobish, Chan Hee Song
openaire +2 more sources