Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Erli, Meng"'
Publikováno v:
COLING 2020
Incorporating lattices into character-level Chinese named entity recognition is an effective method to exploit explicit word information. Recent works extend recurrent and convolutional neural networks to model lattice inputs. However, due to the DAG
Externí odkaz:
http://arxiv.org/abs/1911.02733
Publikováno v:
NAACL-HLT
Recent researches show that pre-trained models (PTMs) are beneficial to Chinese Word Segmentation (CWS). However, PTMs used in previous works usually adopt language modeling as pre-training tasks, lacking task-specific prior segmentation knowledge an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc03f97bbf4eeb0ec214c977e2c7ce09
http://arxiv.org/abs/2010.12272
http://arxiv.org/abs/2010.12272
Publikováno v:
COLING
Incorporating lexicons into character-level Chinese NER by lattices is proven effective to exploitrich word boundary information. Previous work has extended RNNs to consume lattice inputsand achieved great success. However, due to the DAG structure a
Publikováno v:
ACM Transactions on Information Systems; Nov2024, Vol. 42 Issue 6, p1-28, 28p
Publikováno v:
ACM Transactions on Information Systems; May2024, Vol. 42 Issue 3, p1-28, 28p
Publikováno v:
ACM Transactions on the Web; Feb2024, Vol. 18 Issue 1, p1-37, 37p
Publikováno v:
ACM Transactions on Information Systems; Jan2024, Vol. 42 Issue 1, p1-27, 27p
Publikováno v:
ACM Transactions on Information Systems; Jan2024, Vol. 42 Issue 1, p1-26, 26p
Autor:
Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024.The 112 full papers included in this volume were carefully