Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Fu, Yingxue"'
Autor:
Fu, Yingxue
Existing discourse corpora are annotated based on different frameworks, which show significant dissimilarities in definitions of arguments and relations and structural constraints. Despite surface differences, these frameworks share basic understandi
Externí odkaz:
http://arxiv.org/abs/2403.20196
Autor:
Fu, Yingxue
Existing discourse formalisms use different taxonomies of discourse relations, which require expert knowledge to understand, posing a challenge for annotation and automatic classification. We show that discourse relations can be effectively captured
Externí odkaz:
http://arxiv.org/abs/2311.00451
Autor:
Fu, Yingxue
Discourse information is difficult to represent and annotate. Among the major frameworks for annotating discourse information, RST, PDTB and SDRT are widely discussed and used, each having its own theoretical foundation and focus. Corpora annotated u
Externí odkaz:
http://arxiv.org/abs/2204.07781
Publikováno v:
In Chinese Journal of Chemical Engineering September 2024 73:244-255
Autor:
Fu, Yingxue
We provide a study of using the biaffine model for neural discourse dependency parsing and achieve significant performance improvement compared with the baseline parsers. We compare the Eisner algorithm and the Chu-Liu-Edmonds algorithm in the task a
Externí odkaz:
http://arxiv.org/abs/2201.04450
Autor:
Fu, Yingxue, Nederhof, Mark-Jan
By using a trigram model and fine-tuning a pretrained BERT model for sequence classification, we show that machine translation and human translation can be classified with an accuracy above chance level, which suggests that machine translation and hu
Externí odkaz:
http://arxiv.org/abs/2105.04616
Publikováno v:
In Neuroscience Letters 28 February 2024 824
Autor:
Xie, Xiaofeng, Chen, Hao, Liu, Xudong, Fu, Yingxue, Liu, Zhilou, Shen, Fenghua, Xiang, Kaisong, Liu, Hui
Publikováno v:
In Journal of Hazardous Materials 15 January 2024 462
Autor:
Wang, Xianbin1,2 (AUTHOR), Fu, Yingxue1,2 (AUTHOR), Yang, Xianglian2 (AUTHOR), Chen, Yan1 (AUTHOR), Zeng, Ni1 (AUTHOR), Hu, Shouxing2 (AUTHOR), Ouyang, Shuai2 (AUTHOR), Pan, Xiao2 (AUTHOR), Wu, Shuang1,2 (AUTHOR) wus212@126.com
Publikováno v:
Scientific Reports. 4/27/2024, Vol. 14 Issue 1, p1-16. 16p.
Autor:
Fu, Yingxue, Dhonnchadha, Elaine Ui
Publikováno v:
David C. Wyld et al. (Eds): NLP, JSE, MLTEC, DMS, NeTIOT, ITCS, SIP, CST, ARIA - 2020 pp. 111-129, 2020. CS & IT - CSCP 2020
This paper studies the differences between different types of newspapers in expressing temporal information, which is a topic that has not received much attention. Techniques from the fields of temporal processing and pattern mining are employed to i
Externí odkaz:
http://arxiv.org/abs/2011.12265