基本信息
浏览量:16
职业迁徙
个人简介
Leuski’s recent work has focused on applying statistical information retrieval approaches to dialogue text analysis, natural language understanding and generation. Of primary interest is the development of the statistical approaches for building effective text classification techniques with small amounts of training data.
These text classification approaches allow very rapid development of practical solutions for natural language dialogue applications.
These text classification approaches allow very rapid development of practical solutions for natural language dialogue applications.
研究兴趣
论文共 117 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Alesia Gainer, Allison Aptaker,Ron Artstein, David Cobbins,Mark Core,Carla Gordon,Anton Leuski,Zongjian Li,Chirag Merchant,David Nelson,Mohammad Soleymani,David Traum
PROCEEDINGS OF THE 23RD ACM INTERNATIONAL CONFERENCE ON INTELLIGENT VIRTUAL AGENTS, IVA 2023pp.63:1-63:2, (2023)
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS II (2020)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn