[PDF] Top 20 CAN NER: Convolutional Attention Network for Chinese Named Entity Recognition
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CAN NER: Convolutional Attention Network for Chinese Named Entity Recognition
... co-trained NER and word segmentation to improve perfor- mance in both ...sarial network to jointly train Chinese NER task and Chinese Word Segmentation tasks to extract task-shared word ... See full document
10
A Joint Chinese Named Entity Recognition and Disambiguation System
... the named entities has been established as an important task in several areas, including topic detection and tracking, machine translation, and information retrieval (Cucerzan, ...2007). NER is the first ... See full document
6
Chinese Named Entity Recognition with Multiple Features
... hybrid Chinese named entity recognition model based on multiple ...it can overcome the disadvantages of each ...which can im- prove the performance of PN ...we can ... See full document
8
Chinese Named Entity Recognition Using Role Model
... on Chinese NER, but the research is still in its early ...solutions can be broadly categorized into rule-based approaches [Luo, 2001; Ji, 2001; Song, 1993; Tan, 1999], statistics-based ones [Zhang et ... See full document
32
A Three-Phase System for Chinese Named Entity Recognition
... Abstract. The handling of out-of-vocabulary (OOV) words is one of the key points to a high performance lexical analysis in natural language processing. Among all OOV words, named entities (NE) are the most ... See full document
10
Chinese Named Entity Recognition with Bert
... the Chinese has no obvious boundaries. In particular, named entity boundaries are also word boundaries in ...in Chinese. However, incorrect segmentation can lead to NER errors, ... See full document
8
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
... We can clearly see that removing any graph causes obvious perfor- mance degradation, but the importance of different graphs varies from dataset to ...graph can only capture the information of the nearest ... See full document
11
Disease named entity recognition from biomedical literature using a novel convolutional neural network
... As can be seen from Table 5, the lexicon feature embedding contributes most to our method on both NCBI and CDR corpora, as removing the lexicon feature embedding decreases the F-scores on two corpora by ...protein ... See full document
9
Named Entity Recognition in Chinese News Comments on the Web
... the Chinese NE system’s ...character named entity ...types can be performed simul- taneously in a unified ...treats NER as a probabilistic tagging prob- ...to Chinese NER. ... See full document
9
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
... In this section, we further compare the training and test time costs of the proposed GRN with those of CNN-BiLSTM- CRF, which is the most basic LSTM-based NER model achieving high performance. We conduct our ... See full document
8
Graph Convolutional Networks for Named Entity Recognition
... on named entity recognition, with few studies using explicitly non-local information for the ...and NER , improving both ...the recognition of bio-medical events (McClosky et ... See full document
9
An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records
... image recognition to emphasize the different influence of different input data on output data ...which can selectively focus on some import- ant information and ignore other information received at the same ... See full document
11
Attribute based Chinese Named Entity Recognition and Disambiguation
... social network to find the documents that refer to a particular person using two methods: one based on the link structure and the other used agglom- erative/conglomerate double ...social network of people ... See full document
5
The Fourth International Chinese Language Processing Bakeoff: Chinese Word Segmentation, Named Entity Recognition and Chinese POS Tagging
... CIPS Chinese Language Processing Evaluation in the summer of 2007, and co-organized by SIGHAN, Chinese LDC, and the Verifying Center of Chinese Language and Character Standards of the State Lan- ... See full document
13
Knowledge Base Construction from Unstructured Text
... and can be connected in different printed corpus without marked dataset [13], which makes Word2Vec material to most KGs containing literary ...Word2Vec can address expansive corpus and the preparation is ... See full document
6
Study And Analysis Of Gene-Protein Interactions From Pubmed Articles Using Conditional Random Field- Named Entity Recognition Technique
... that can be applied to different tasks in biology and to solve the medical problems, biomedical literature mining is used more and ...gene network from the identified relations using cytoscape ... See full document
9
Rule Based Named Entity Recognition in Urdu
... the named entities in each document in this version of the system the algorithm finds named entities in the given string of text regardless of the ...of named entities in the paragraph but our rules ... See full document
10
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features
... same entity to be clustered ...a named entity dis- ambiguation task, which they use the term entity ...name can be mapped to many ...same entity, if this entity is not ... See full document
6
An Agent based Approach to Chinese Named Entity Recognition
... 5. Experimental Results and Discussions 5.1 The Datasets Used in Our Experiments We use a number of openly available datasets for our training and testing, including the PKU-corpus (Yu 99), Hownet (Dong & Dong 00), ... See full document
7
Joint Entity Recognition and Disambiguation
... an entity belongs to any of the three categories, it is less likely to be predicted as non-an-entity by ...an entity belongs to the category of ...an entity belongs to the category ... See full document
10
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