Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Xiangyang Mou"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 9, Pp 1032-1046 (2021)
AbstractRecent advancements in open-domain question answering (ODQA), that is, finding answers from large open-domain corpus like Wikipedia, have led to human-level performance on many datasets. However, progress in QA over book stories (Book QA) lag
Externí odkaz:
https://doaj.org/article/90ab5d78adc244699c6ea23644afc966
Publikováno v:
EACL
This paper proposes a new problem of complementary evidence identification for open-domain question answering (QA). The problem aims to efficiently find a small set of passages that covers full evidence from multiple aspects as to answer a complex qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72697b88f51d29d41f7fe989c1793e94
http://arxiv.org/abs/2103.11643
http://arxiv.org/abs/2103.11643
Autor:
Hui Su, Melina Alberio Guerra, Xiangyang Mou, Jeffrey O. Kephart, Maira Gratti DeBayser, Lisha Chen, Rahul R. Divekar, Matthew Peveler
Publikováno v:
CHI Extended Abstracts
Competitions that directly pit software agents against one another have proven to be an effective and entertaining way to advance the state of the art in a multitude of AI domains. Less frequently, human-agent competitions have been held to gauge the
Autor:
Hui Su, Gordon Patrick Clement, Xiangyang Mou, Jeffery Owen Cortlandt Manor Kephart, Matthew Peveler
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030490614
HCI (2)
HCI (2)
Traditionally, two approaches have been used to build intelligent room applications. Mouse-based control schemes allow developers to leverage a wealth of existing user-interaction libraries that respond to clicks and other events. However, systems bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c91c09533f7eb188eee4f402c41c960
https://doi.org/10.1007/978-3-030-49062-1_33
https://doi.org/10.1007/978-3-030-49062-1_33
Publikováno v:
NUSE@ACL
A lot of progress has been made to improve question answering (QA) in recent years, but the special problem of QA over narrative book stories has not been explored in-depth. We formulate BookQA as an open-domain QA task given its similar dependency o
Autor:
Xiangyang Mou, Maíra Gatti de Bayser, Hui Su, Lisha Chen, Melina Alberio Guerra, Rahul R. Divekar
Publikováno v:
IJCAI
In a setting where two AI agents embodied as animated humanoid avatars are engaged in a conversation with one human and each other, we see two challenges. One, determination by the AI agents about which one of them is being addressed. Two, determinat
Publikováno v:
Human-Computer Interaction – INTERACT 2019 ISBN: 9783030293864
INTERACT (3)
INTERACT (3)
Most present-day voice-based assistants require that users utter a wake-up word to signify that they are addressing the assistant. While this may be acceptable for one-shot requests such as “Turn on the lights”, it becomes tiresome when one is en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5320f49f6bc14118837c909101cf9bb2
https://doi.org/10.1007/978-3-030-29387-1_44
https://doi.org/10.1007/978-3-030-29387-1_44
Autor:
Xiangyang Mou, David Allen, Jeffrey O. Kephart, Jaimie Drozdal, Huang Zou, Rui Zhao, Shuyue Zheng, Hui Su, Lilit Balagyozyan, Rahul R. Divekar, Ziyi Song, Jeramey Tyler, Jianling Yue, Helen Zhou
Publikováno v:
AAAI
The Rensselaer Mandarin Project enables a group of foreign language students to improve functional understanding, pronunciation and vocabulary in Mandarin Chinese through authentic speaking situations in a virtual visit to China. Students use speech,
Publikováno v:
Syracuse University Experts@Syracuse
As the body of research on machine narrative comprehension grows, there is a critical need for consideration of performance assessment strategies as well as the depth and scope of different benchmark tasks. Based on narrative theories, reading compre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::144eb25a88fffacb3624f9da686c95d9
https://experts.syr.edu/en/publications/6c24217e-4a13-48ad-903e-27647eefc249
https://experts.syr.edu/en/publications/6c24217e-4a13-48ad-903e-27647eefc249