基本信息
views: 276

Bio
His Natural language processing study frequently involves adjacent topics like Question answering and Parsing. While working in this field, he studies both Question answering and Artificial intelligence. Artificial intelligence is closely attributed to Mean reciprocal rank in his study. Massimiliano Ciaramita applies his multidisciplinary studies on Parsing and Natural language processing in his research. Massimiliano Ciaramita connects relevant research areas such as Feature (linguistics), Reciprocal and Word (group theory) in the realm of Linguistics. Massimiliano Ciaramita regularly links together related areas like Linguistics in his Feature (linguistics) studies. In his work, he performs multidisciplinary research in Information retrieval and Data mining. His work often combines Data mining and Information retrieval studies. As part of his studies on Paleontology, he often connects relevant areas like Context (archaeology).
Research Interests
Papers共 93 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation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
ICLR 2024 (2024)
Cited0Views0Bibtex
0
0
Arash Amini,Massimiliano Ciaramita
arXiv (Cornell University) (2023)
CoRR (2023)
Cited2Views0EIBibtex
2
0
ICLR 2022 (2022)
Bernd Bohnet,Vinh Q. Tran,Pat Verga,Roee Aharoni,Daniel Andor,Livio Baldini Soares,Massimiliano Ciaramita,Jacob Eisenstein,Kuzman Ganchev,Jonathan Herzig,Kai Hui,Tom Kwiatkowski,Ji Ma,Jianmo Ni, Lierni Sestorain Saralegui,Tal Schuster,William W. Cohen,Michael Collins,Dipanjan Das,Donald Metzler,Slav Petrov,Kellie Webster
Load More
Author Statistics
#Papers: 93
#Citation: 4571
H-Index: 35
G-Index: 67
Sociability: 6
Diversity: 2
Activity: 7
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn