Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Yuexiang Xie"'
Publikováno v:
Results in Chemistry, Vol 5, Iss , Pp 100882- (2023)
Amide is one of the most important molecules in chemistry and biology. Seeking a green and efficient synthesis method for obtaining amide compounds has always been the main research direction. In this paper, it was proposed to use acid and amine as r
Externí odkaz:
https://doaj.org/article/5b3a9d527b3f42eb8bc4e2002c0ed6e2
Publikováno v:
Organic Letters. 25:2338-2343
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Publikováno v:
Proceedings of the ACM Web Conference 2022.
Publikováno v:
AAAI
We study the community question answering (CQA) problem that emerges with the advent of numerous community forums in the recent past. The task of finding appropriate answers to questions from informative but noisy crowdsourced answers is important ye
Publikováno v:
CIKM
Machine Learning methods have been adopted for a wide range of real-world applications, ranging from social networks, online image/video-sharing platforms, and e-commerce to education, healthcare, etc. However, in practice, a large amount of effort i
Autor:
Ce Zhang, Yuexiang Xie, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Nezihe Merve Gürel, Minlie Huang, Zhen Wang
Publikováno v:
KDD
High-order interactive features capture the correlation between different columns and thus are promising to enhance various learning tasks on ubiquitous tabular data. To automate the generation of interactive features, existing works either explicitl
Publikováno v:
AAAI
Answer selection and knowledge base question answering (KBQA) are two important tasks of question answering (QA) systems. Existing methods solve these two tasks separately, which requires large number of repetitive work and neglects the rich correlat