Name
Abstract | ||
|---|---|---|
This paper describes the problems that must be addressed when studying large amounts of data over time which require entity normalization applied not to the usual genres of news or political speech, but to the genre of academic discourse about language resources, technologies and sciences. It reports on the normalization processes that had to be applied to produce data usable for computing statistics in three past studies on the LRE Map, the ISCA Archive and the LDC Bibliography. It shows the need for human expertise during normalization and the necessity to adapt the work to the study objectives. It investigates possible improvements for reducing the workload necessary to produce comparable results. Through this paper, we show the necessity to define and agree on international persistent and unique identifiers. |
Year | Venue | Keywords |
|---|---|---|
2014 | LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | Data identification,Normalization,ISLRN,Archive analysis,Bibliometrics,Scientometrics |
Field | DocType | Citations |
Computer science,Artificial intelligence,Natural language processing,Parameter identification problem | Conference | 3 |
PageRank | References | Authors |
0.48 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph Mariani | 1 | 704 | 94.01 |
| Christopher Cieri | 2 | 123 | 42.44 |
| Gil Francopoulo | 3 | 104 | 19.90 |
| Patrick Paroubek | 4 | 885 | 66.97 |
| Marine Delaborde | 5 | 3 | 0.48 |