Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Yu, Juntao"'
Autor:
Yu, Juntao, Paun, Silviu, Camilleri, Maris, Garcia, Paloma Carretero, Chamberlain, Jon, Kruschwitz, Udo, Poesio, Massimo
Although several datasets annotated for anaphoric reference/coreference exist, even the largest such datasets have limitations in terms of size, range of domains, coverage of anaphoric phenomena, and size of documents included. Yet, the approaches pr
Externí odkaz:
http://arxiv.org/abs/2210.05581
Anaphoric reference is an aspect of language interpretation covering a variety of types of interpretation beyond the simple case of identity reference to entities introduced via nominal expressions covered by the traditional coreference task in its m
Externí odkaz:
http://arxiv.org/abs/2205.12323
Autor:
Liu, Wei, Zhao, Yan, He, Yanyun, Yan, Xinyu, Yu, Juntao, Song, Qin, Zhang, Libo, Dong, Bohan, Xu, Gang, Wang, Changyu, Zhang, Jianzhong, Chen, Bo
Publikováno v:
In iScience 20 September 2024 27(9)
Autor:
Yu, Juntao, Zhang, Yujie, Fang, Yimeng, Paulo, Joao A., Yaghoubi, Dadmehr, Hua, Xu, Shipkovenska, Gergana, Toda, Takenori, Zhang, Zhiguo, Gygi, Steven P., Jia, Songtao, Li, Qing, Moazed, Danesh
Publikováno v:
In Cell 5 September 2024 187(18):5010-5028
Autor:
Zhan, Hao, Wang, Yinan, Peng, Chuanxiao, Yu, Juntao, Xue, Yuzhao, Wang, Xianrui, Luo, Yang, Lin, Xiao, Bai, Xinyuan, Wang, Li
Publikováno v:
In Journal of Magnetism and Magnetic Materials 1 June 2024 599
The state-of-the-art on basic, single-antecedent anaphora has greatly improved in recent years. Researchers have therefore started to pay more attention to more complex cases of anaphora such as split-antecedent anaphora, as in Time-Warner is conside
Externí odkaz:
http://arxiv.org/abs/2104.05320
No neural coreference resolver for Arabic exists, in fact we are not aware of any learning-based coreference resolver for Arabic since (Bjorkelund and Kuhn, 2014). In this paper, we introduce a coreference resolution system for Arabic based on Lee et
Externí odkaz:
http://arxiv.org/abs/2011.00286
Now that the performance of coreference resolvers on the simpler forms of anaphoric reference has greatly improved, more attention is devoted to more complex aspects of anaphora. One limitation of virtually all coreference resolution models is the fo
Externí odkaz:
http://arxiv.org/abs/2011.00245
Named Entity Recognition (NER) is a fundamental task in Natural Language Processing, concerned with identifying spans of text expressing references to entities. NER research is often focused on flat entities only (flat NER), ignoring the fact that en
Externí odkaz:
http://arxiv.org/abs/2005.07150
Autor:
Yu, Juntao, Poesio, Massimo
We propose a multi task learning-based neural model for resolving bridging references tackling two key challenges. The first challenge is the lack of large corpora annotated with bridging references. To address this, we use multi-task learning to hel
Externí odkaz:
http://arxiv.org/abs/2003.03666