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Conference Papers Year : 2014

Facing the identification problem in language-related scientific data analysis

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.
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Dates and versions

hal-01840821 , version 1 (16-07-2018)

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  • HAL Id : hal-01840821 , version 1

Cite

Joseph J Mariani, Christopher Cieri, Gil Francopoulo, Patrick Paroubek, Marine Delaborde. Facing the identification problem in language-related scientific data analysis. International Conference on Language Resources and Evaluation, Jan 2014, Reykjavik, Iceland. ⟨hal-01840821⟩
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