Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Pearl Pu"'
Autor:
Ekaterina Svikhnushina, Pearl Pu
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 12:1-29
Open-domain chatbots engage with users in natural conversations to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of a chatbot most correspond to users’
Publikováno v:
Journal of Population Ageing, 13(2), 167-185. Springer
Journal of Population Ageing
Journal of Population Ageing
Understanding and predicting how people change their behavior after an intervention from time series data is an important task for health recommender systems. This task is especially challenging when the time series data is frequently sampled. In thi
Publikováno v:
HAI
An increasing number of recommender systems enable conversational interaction to enhance the system’s overall user experience (UX). However, it is unclear what qualities of a conversational recommender system (CRS) are essential to determine the su
Publikováno v:
SemEval@ACL/IJCNLP
In this paper, we describe our system submitted to SemEval 2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense. The task aims at predicting whether the given text is humorous, the average humor rating given by the annotators, and whether
Autor:
Anuradha Welivita, Pearl Pu
Publikováno v:
COLING
Open-domain conversational agents or chatbots are becoming increasingly popular in the natural language processing community. One of the challenges is enabling them to converse in an empathetic manner. Current neural response generation methods rely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fbf71b63637a6958b55246c6f28fe97
Publikováno v:
AI Communications. 30:207-222
Recommender systems have increasingly become popular in various web environments (such as e-commerce and social media) for automatically generating items that match to individual users' personal interests. Among different types of recommender systems
Publikováno v:
Computer, Vol. 50, No 3 (2017) pp. 20-29
Diabetic and obese users given a Fitbit fitness tracker for seven months identified the device's playfulness, practicality, persuasiveness, personalization, and privacy as the top motivators for its use. These results provide insights into designing
Publikováno v:
Conference Proceedings of Academy for Design Innovation Management, 57-68
STARTPAGE=57;ENDPAGE=68;TITLE=Conference Proceedings of Academy for Design Innovation Management
STARTPAGE=57;ENDPAGE=68;TITLE=Conference Proceedings of Academy for Design Innovation Management
Amidst today’s ever-expanding waistlines there is a clear need to investigate technology’s potential to support behavior change and stimulate increased physical activity. Physical activity has also been shown to increase the independence and well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0e5cf4735d36f23f9c45e0d885d652c
https://research.tue.nl/nl/publications/da4b1ce3-7e72-44f5-8c42-094583983e3c
https://research.tue.nl/nl/publications/da4b1ce3-7e72-44f5-8c42-094583983e3c
Publikováno v:
International Journal of Human-Computer Interaction, 35(10), 870-885. Taylor and Francis Ltd.
This research was motivated by a desire to help office workers change their sedentary behavior because a prolonged sedentary posture increases the risks of developing musculoskeletal injuries and chronic diseases, thus threatening their physical and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f98ae2a66e8ea566aa19823b894f779
https://research.tue.nl/nl/publications/2ad42753-e8c9-4f85-9a03-042b4dba2d71
https://research.tue.nl/nl/publications/2ad42753-e8c9-4f85-9a03-042b4dba2d71
Autor:
Pearl Pu, Valentina Sintsova
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 8:1-22
Emotion recognition in text has become an important research objective. It involves building classifiers capable of detecting human emotions for a specific application, for example, analyzing reactions to product launches, monitoring emotions at spor