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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Chinese NER with Height-Limited Constituent Parsing

February 1, 2023

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Authors

Rui Wang

Beijing Institute of Technology


Xin Xin

Beijing Institute of Technology


Wei Chang

Beijing Institute of Technology


Kun Ming

Beijing Institute of Technology


Biao Li

Tencent


Xin Fan

Tencent


DOI:

10.1609/aaai.v33i01.33017160


Abstract:

In this paper, we investigate how to improve Chinese named entity recognition (NER) by jointly modeling NER and constituent parsing, in the framework of neural conditional random fields (CRF). We reformulate the parsing task to heightlimited constituent parsing, by which the computational complexity can be significantly reduced, and the majority of phrase-level grammars are retained. Specifically, an unified model of neural semi-CRF and neural tree-CRF is proposed, which simultaneously conducts word segmentation, part-ofspeech (POS) tagging, NER, and parsing. The challenge comes from how to train and infer the joint model, which has not been solved previously. We design a dynamic programming algorithm for both training and inference, whose complexity is O(n·4h), where n is the sentence length and h is the height limit. In addition, we derive a pruning algorithm for the joint model, which further prunes 99.9% of the search space with 2% loss of the ground truth data. Experimental results on the OntoNotes 4.0 dataset have demonstrated that the proposed model outperforms the state-of-the-art method by 2.79 points in the F1-measure.

Topics: AAAI

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HOW TO CITE:

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan Chinese NER with Height-Limited Constituent Parsing Proceedings of the AAAI Conference on Artificial Intelligence (2019) 7160-7167.

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan Chinese NER with Height-Limited Constituent Parsing AAAI 2019, 7160-7167.

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan (2019). Chinese NER with Height-Limited Constituent Parsing. Proceedings of the AAAI Conference on Artificial Intelligence, 7160-7167.

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan. Chinese NER with Height-Limited Constituent Parsing. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.7160-7167.

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan. 2019. Chinese NER with Height-Limited Constituent Parsing. "Proceedings of the AAAI Conference on Artificial Intelligence". 7160-7167.

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan. (2019) "Chinese NER with Height-Limited Constituent Parsing", Proceedings of the AAAI Conference on Artificial Intelligence, p.7160-7167

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan, "Chinese NER with Height-Limited Constituent Parsing", AAAI, p.7160-7167, 2019.

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan. "Chinese NER with Height-Limited Constituent Parsing". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.7160-7167.

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan. "Chinese NER with Height-Limited Constituent Parsing". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 7160-7167.

Rui Wang||Xin Xin||Wei Chang||Kun Ming||Biao Li||Xin Fan. Chinese NER with Height-Limited Constituent Parsing. AAAI[Internet]. 2019[cited 2023]; 7160-7167.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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