Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maeda F. Hanafi"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12658-12664
Interactive AI (IAI) systems are increasingly popular as the human-centered AI design paradigm is gaining strong traction. However, evaluating IAI systems, a key step in building such systems, is particularly challenging, as their output highly depen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40c7befea48536ed39fa4971005f1b02
https://doi.org/10.1609/aaai.v36i11.21541
https://doi.org/10.1609/aaai.v36i11.21541
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:13182-13184
Evaluating interactive AI (IAI) systems is a challenging task, as their output highly depends on the performed user actions. As a result, developers often depend on limited and mostly qualitative data derived from user testing to improve their system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a9222bc6ee5f1e608bcd06172dc9c7c
https://doi.org/10.1609/aaai.v36i11.21721
https://doi.org/10.1609/aaai.v36i11.21721
Publikováno v:
HILDA@SIGMOD
We describe Texture, a framework for data extraction over print documents that allows end-users to construct data extraction rules over an inferred document structure. To effectively infer this structure, we enable developers to contribute multiple h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dd504c24b084bf4a36ac0875ac326d4
https://doi.org/10.1145/3328519.3329131
https://doi.org/10.1145/3328519.3329131
Publikováno v:
SIGMOD Conference
Our demonstration showcases SEER's end-to-end Information Extraction (IE) workflow where users highlight texts they wish to extract. Given a small set of user-specified example extractions, SEER synthesizes easy-to-understand IE rules and suggests th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34d67853eefb0c1d431d40e47d42b3c0
https://doi.org/10.1145/3035918.3056443
https://doi.org/10.1145/3035918.3056443