Summary of the paper
| Title | Facing the Identification Problem in Language-Related Scientific Data Analysis. |
|---|---|
| Authors | Joseph Mariani, Christopher Cieri, Gil Francopoulo, Patrick Paroubek and Marine Delaborde |
| 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. |
| Topics | Standards for LRs, Metadata |
Full paper  |
Facing the Identification Problem in Language-Related Scientific Data Analysis. |
| Bibtex | @InProceedings{MARIANI14.945, author = {Joseph Mariani and Christopher Cieri and Gil Francopoulo and Patrick Paroubek and Marine Delaborde}, title = {Facing the Identification Problem in Language-Related Scientific Data Analysis.}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |