Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jinjie Ni"'
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1ef3ab61dd39d376192880b71766e92
https://doi.org/10.1109/icassp49357.2023.10097130
https://doi.org/10.1109/icassp49357.2023.10097130
Publikováno v:
Artificial Intelligence Review. 56:3055-3155
Dialogue systems are a popular natural language processing (NLP) task as it is promising in real-life applications. It is also a complicated task since many NLP tasks deserving study are involved. As a result, a multitude of novel works on this task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c3b6435b5f792f3dd282cb089a3304d
https://doi.org/10.1007/s10462-022-10248-8
https://doi.org/10.1007/s10462-022-10248-8
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:11112-11120
Human conversations are guided by short-term and long-term goals. We study how to plan short-term goal sequences as coherently as humans do and naturally direct them to an assigned long-term goal in open-domain conversations. Goal sequences are a ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4cb06915a10c337a59eddd14002a450
https://doi.org/10.1609/aaai.v36i10.21360
https://doi.org/10.1609/aaai.v36i10.21360
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Dialogue relation extraction (RE) is to predict the relation type of two entities mentioned in a dialogue. In this paper, we propose a simple yet effective model named SimpleRE for the RE task. SimpleRE captures the interrelations among multiple rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b520094cb881630c47b45314d6594a5d
https://doi.org/10.1109/icassp43922.2022.9747486
https://doi.org/10.1109/icassp43922.2022.9747486
The goal of building intelligent dialogue systems has largely been separately pursued under two paradigms: task-oriented dialogue (TOD) systems, which perform goal-oriented functions, and open-domain dialogue (ODD) systems, which focus on non-goal-or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5cfd1723abf88c52cedca0000eaed86
http://arxiv.org/abs/2109.04137
http://arxiv.org/abs/2109.04137
Publikováno v:
International Journal of Molecular Sciences
Volume 21
Issue 15
International Journal of Molecular Sciences, Vol 21, Iss 5222, p 5222 (2020)
Volume 21
Issue 15
International Journal of Molecular Sciences, Vol 21, Iss 5222, p 5222 (2020)
Long non-coding RNAs (lncRNAs) play crucial roles in diverse biological processes and human complex diseases. Distinguishing lncRNAs from protein-coding transcripts is a fundamental step for analyzing the lncRNA functional mechanism. However, the exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e28f5404c2a5e585b140db0893164a1e
http://europepmc.org/articles/PMC7432689
http://europepmc.org/articles/PMC7432689
Background: Long non-coding RNAs (lncRNAs) play crucial roles in diverse biological processes and human complex diseases. Distinguishing lncRNAs from protein-coding transcripts is a fundamental step for analyzing lncRNA functional mechanism. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df956797535d65394f2de9b0ab12a761
https://doi.org/10.21203/rs.2.16792/v2
https://doi.org/10.21203/rs.2.16792/v2
Publikováno v:
ROBIO
Group Emotion Recognition has been recognized as a difficult task because of the difficulty in defining identification elements, the overlap of people, and the differences of individuals. This paper first discusses the two elements required for group
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::badeb22a69d3a094bf09cc27adf0c70f
https://doi.org/10.1109/robio49542.2019.8961625
https://doi.org/10.1109/robio49542.2019.8961625