Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Anjie Fang"'
Autor:
Bernd Hollerit, Helmut Prendinger, Raghvendra Jain, Daniela Fontes, Henrique Campos, Hugo Damas, Anjie Fang, Rui Prada, Marc Cavazza
Publikováno v:
IEEE Access, Vol 9, Pp 36252-36265 (2021)
We describe iCO2, a simulation platform for collecting driving behavior data. It is designed as the first massively multiplayer online game for mobile devices to practice eco-friendly driving. It facilitates the collection of large-scale data on driv
Externí odkaz:
https://doaj.org/article/7d53a45f28824ae188c234b429a79033
Publikováno v:
SAGE Open, Vol 9 (2019)
Social media offers scholars new and innovative ways of understanding public opinion, including citizens’ prospective votes in elections and referenda. We classify social media users’ preferences over the two U.S. presidential candidates in the 2
Externí odkaz:
https://doaj.org/article/edb95773e19e4d85930d4487690b0542
Autor:
Marc Cavazza, Helmut Prendinger, Hugo Damas, Rui Prada, Raghvendra Jain, Bernd Hollerit, Anjie Fang, Henrique Campos, Daniela Fontes
Publikováno v:
IEEE Access, Vol 9, Pp 36252-36265 (2021)
We describe iCO2, a simulation platform for collecting driving behavior data. It is designed as the first massively multiplayer online game for mobile devices to practice eco-friendly driving. It facilitates the collection of large-scale data on driv
Publikováno v:
Proceedings of the ACM Web Conference 2022.
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Publikováno v:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022).
Publikováno v:
SIGIR
Named entity recognition (NER) for Web queries is very challenging. Queries often do not consist of well-formed sentences, and contain very little context, with highly ambiguous queried entities. Code-mixed queries, with entities in a different langu
Publikováno v:
NAACL-HLT
Named Entity Recognition (NER) remains difficult in real-world settings; current challenges include short texts (low context), emerging entities, and complex entities (e.g. movie names). Gazetteer features can help, but results have been mixed due to
Publikováno v:
SIGIR
Even though Automatic Speech Recognition (ASR) systems significantly improved over the last decade, they still introduce a lot of errors when they transcribe voice to text. One of the most common reasons for these errors is phonetic confusion between
Publikováno v:
Information, Communication & Society. 21:1604-1619
This paper examines information networks on social media to draw conclusions about influence relationships among members of the mass media. The project considers social networks and information pat...