Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pengfei Hong"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Memory engrams are a subset of learning activated neurons critical for memory recall, consolidation, extinction and separation. While the transcriptional profile of engrams after learning suggests profound neural changes underlying plasticit
Externí odkaz:
https://doaj.org/article/21356859ff8e47938b63bf1f43c803ec
Effects of Investment Experience on the Stock Investment Task: The Mediating Role of Risk Perception
Publikováno v:
Behavioral Sciences, Vol 13, Iss 2, p 115 (2023)
Due to the limitations of traditional financial analysis and the non-specificity of laboratory-based gambling tasks, it is difficult for researchers to isolate the independent contributions of risk perception and initial investment experience on novi
Externí odkaz:
https://doaj.org/article/6194a11f21fa4deba3d38cf492af5549
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_________::f7eee381126344c52bea709106e299b2
https://doi.org/10.1109/icassp49357.2023.10096777
https://doi.org/10.1109/icassp49357.2023.10096777
Autor:
Soujanya Poria, Pengfei Hong, Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Rada Mihalcea, Niyati Chhaya, Samson Yu Bai Jian, Romila Ghosh, Alexander Gelbukh, Navonil Majumder, Rishabh Bhardwaj
Publikováno v:
Cognitive Computation. 13:1317-1332
We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with strong Transformer-based baselines. The dataset is available at https://g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d0d5f98972f7e4fc954e69114386430
https://doi.org/10.1007/s12559-021-09925-7
https://doi.org/10.1007/s12559-021-09925-7
Dialogue relation extraction (DRE) aims to detect the relation between two entities mentioned in a multi-party dialogue. It plays an important role in constructing knowledge graphs from conversational data increasingly abundant on the internet and fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa0ec35b68a6f118fa2a48d5f9847b4c
http://arxiv.org/abs/2009.05092
http://arxiv.org/abs/2009.05092
Publikováno v:
2019 Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e74e83c836efebc40714cf66a809e3f
https://doi.org/10.22489/cinc.2019.317
https://doi.org/10.22489/cinc.2019.317
Autor:
Deepanway Ghosal, Jiankun Lu, Pengfei Hong, Rada Mihalcea, Shanshan Peng, Navonil Majumder, Alexander Gelbukh, Soujanya Poria
Publikováno v:
Scopus-Elsevier
EMNLP (1)
EMNLP (1)
Current approaches to empathetic response generation view the set of emotions expressed in the input text as a flat structure, where all the emotions are treated uniformly. We argue that empathetic responses often mimic the emotion of the user to a v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::164039c5ec7d373993d0b82db313f2a5
http://www.scopus.com/inward/record.url?eid=2-s2.0-85101389248&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85101389248&partnerID=MN8TOARS