Name
Abstract | ||
|---|---|---|
We present a robust and efficient parallelizable multilingual UIMA-based platform for automatically annotating textual inputs with different layers of linguistic description, ranging from surface level phenomena all the way down to deep discourse-level information. In particular, given an input text, the pipeline extracts: sentences and tokens; entity mentions; syntactic information; opinionated expressions; relations between entity mentions; co-reference chains and wikified entities. The system is available in two versions: a standalone distribution enables design and optimization of userspecific sub-modules, whereas a server-client distribution allows for straight forward high-performance NLP processing, reducing the engineering cost for higher-level tasks. |
Year | Venue | DocType |
|---|---|---|
2016 | PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS | Conference |
Volume | Citations | PageRank |
P16-4 | 0 | 0.34 |
References | Authors | |
19 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olga Uryupina | 1 | 306 | 20.37 |
| B. Plank | 2 | 481 | 45.29 |
| Gianni Barlacchi | 3 | 21 | 5.59 |
| Francisco J. Valverde-Albacete | 4 | 116 | 20.84 |
| Manos Tsagkias | 5 | 271 | 19.91 |
| Antonio E. Uva | 6 | 122 | 17.21 |
| Alessandro Moschitti | 7 | 3262 | 177.68 |