Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Xiaoxue Zang"'
Autor:
ZIHUA SI1 zihua_si@ruc.edu.cn, ZHONGXIANG SUN1 sunzhongxiang@ruc.edu.cn, XIAO ZHANG1 zhangx89@ruc.edu.cn, JUN XU1 junxu@ruc.edu.cn, YANG SONG2 yangsong@kuaishou.com, XIAOXUE ZANG2 zangxiaoxue@kuaishou.com, JI-RONG WEN1 jrwen@ruc.edu.cn
Publikováno v:
ACM Transactions on Information Systems. Oct2023, Vol. 41 Issue 4, p1-31. 31p.
Autor:
Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby Lee, Jindong Chen
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:5931-5938
As mobile devices are becoming ubiquitous, regularly interacting with a variety of user interfaces (UIs) is a common aspect of daily life for many people. To improve the accessibility of these devices and to enable their usage in a variety of setting
Autor:
Srinivas Sunkara, Luis A. Lastras, Jonathan K. Kummerfeld, Hannes Schulz, Walter S. Lasecki, Anoop Cherian, Adam Atkinson, Seokhwan Kim, Chiori Hori, Xiaoxue Zang, Jinchao Li, Sungjin Lee, Minlie Huang, R. Chulaka Gunasekara, Michel Galley, Tim K. Marks, Raghav Gupta, Mahmoud Adada, Baolin Peng, Abhinav Rastogi, Jianfeng Gao
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29:2529-2540
This paper introduces the Eighth Dialog System Technology Challenge. In line with recent challenges, the eighth edition focuses on applying end-to-end dialog technologies in a pragmatic way for multi-domain task-completion, noetic response selection,
Publikováno v:
MobileHCI
Annotating user interfaces (UIs) that involves localization and classification of meaningful UI elements on a screen is a critical step for many mobile applications such as screen readers and voice control of devices. Annotating object icons, such as
Publikováno v:
ACL/IJCNLP (1)
We present a new human-human dialogue dataset - PhotoChat, the first dataset that casts light on the photo sharing behavior in online messaging. PhotoChat contains 12k dialogues, each of which is paired with a user photo that is shared during the con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd7b52d343c27760ae282190e3ba23e8
http://arxiv.org/abs/2108.01453
http://arxiv.org/abs/2108.01453
Autor:
Jindong Chen, Blaise Aguera y Arcas, Abhinav Rastogi, Ying Xu, Chongyang Bai, Srinivas Sunkara, Xiaoxue Zang
Publikováno v:
IJCAI
To improve the accessibility of smart devices and to simplify their usage, building models which understand user interfaces (UIs) and assist users to complete their tasks is critical. However, unique challenges are proposed by UI-specific characteris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34f1d268f3ac09112a435acc4d7911c7
MultiWOZ is a well-known task-oriented dialogue dataset containing over 10,000 annotated dialogues spanning 8 domains. It is extensively used as a benchmark for dialogue state tracking. However, recent works have reported presence of substantial nois
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49f9ceaa2c278992638a01a41edc2a06
Publikováno v:
HRI (Companion)
We describe a behavioral navigation approach that leverages the rich semantic structure of human environments to enable robots to navigate without an explicit geometric representation of the world. Based on this approach, we then present our efforts
Autor:
Kevin Chen, Juan Carlos Niebles, Xiaoxue Zang, Alvaro Soto, Silvio Savarese, Ashwini Pokle, Marynel Vázquez
Publikováno v:
EMNLP
We propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for behavioral robot navigation. We use attention models to connect information from both the user instructions and a topologica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9942db4340783c6536bb3b1b127b7978
Autor:
Toshihiko Yamasaki, Shinichi Egami, Tetsuhiro Nakamoto, Kiyoharu Aizawa, Eitaro Kuwabara, Yusuke Fuchida, Xiaoxue Zang
Publikováno v:
ICME Workshops
Online dating websites are popular platforms for adults to search for their life partners. Because on online dating websites, a user's profile image is an important factor determining other's impressions, we focus on profile images and analyze users'