Abstract | ||
---|---|---|
This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task provided 19 training and 20 testing datasets for 8 languages and 7 domains, as well as a common evaluation procedure. From these datasets, 25 were for sentence-level and 14 for text-level ABSA; the latter was introduced for the first time as a subtask in SemEval. The task attracted 245 submissions from 29 teams. |
Year | Venue | Field |
---|---|---|
2016 | SemEval@NAACL-HLT | SemEval,Sentiment analysis,Computer science,Continuation,Artificial intelligence,Natural language processing |
DocType | Citations | PageRank |
Conference | 71 | 1.97 |
References | Authors | |
10 | 18 |
Name | Order | Citations | PageRank |
---|---|---|---|
Maria Pontiki | 1 | 334 | 11.22 |
Dimitrios Galanis | 2 | 453 | 17.77 |
Haris Papageorgiou | 3 | 159 | 8.29 |
Ion Androutsopoulos | 4 | 2181 | 142.80 |
Suresh Manandhar | 5 | 1238 | 88.99 |
Mohammad Al-Smadi | 6 | 188 | 21.02 |
Mahmoud Al-Ayyoub | 7 | 730 | 63.41 |
Yanyan Zhao | 8 | 82 | 8.61 |
Bing Qin | 9 | 1076 | 72.82 |
Orphée De Clercq | 10 | 117 | 9.61 |
Véronique Hoste | 11 | 319 | 35.92 |
Marianna Apidianaki | 12 | 210 | 23.34 |
Xavier Tannier | 13 | 312 | 42.97 |
Natalia V. Loukachevitch | 14 | 148 | 27.17 |
Evgeniy Kotelnikov | 15 | 71 | 1.97 |
Núria Bel | 16 | 208 | 31.83 |
Salud M. Jiménez Zafra | 17 | 98 | 7.39 |
Gülşen Eryiğit | 18 | 287 | 22.38 |