Facing the identification problem in language-related scientific data analysis
International audience 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...
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ftsorbonneuniv:oai:HAL:hal-01840821v1 2023-11-05T03:42:54+01:00 Facing the identification problem in language-related scientific data analysis Mariani, Joseph, J Cieri, Christopher Francopoulo, Gil Paroubek, Patrick Delaborde, Marine Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI) Université Paris-Sud - Paris 11 (UP11)-Sorbonne Université - UFR d'Ingénierie (UFR 919) Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Saclay (COmUE) Reykjavik, Iceland 2014-01-01 https://hal.science/hal-01840821 en eng HAL CCSD hal-01840821 https://hal.science/hal-01840821 International Conference on Language Resources and Evaluation https://hal.science/hal-01840821 International Conference on Language Resources and Evaluation, Jan 2014, Reykjavik, Iceland [INFO]Computer Science [cs] [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] info:eu-repo/semantics/conferenceObject Conference papers 2014 ftsorbonneuniv 2023-10-10T23:58:29Z International audience 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. Conference Object Iceland HAL Sorbonne Université |
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HAL Sorbonne Université |
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ftsorbonneuniv |
language |
English |
topic |
[INFO]Computer Science [cs] [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] |
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[INFO]Computer Science [cs] [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] Mariani, Joseph, J Cieri, Christopher Francopoulo, Gil Paroubek, Patrick Delaborde, Marine Facing the identification problem in language-related scientific data analysis |
topic_facet |
[INFO]Computer Science [cs] [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] |
description |
International audience 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. |
author2 |
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI) Université Paris-Sud - Paris 11 (UP11)-Sorbonne Université - UFR d'Ingénierie (UFR 919) Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Saclay (COmUE) |
format |
Conference Object |
author |
Mariani, Joseph, J Cieri, Christopher Francopoulo, Gil Paroubek, Patrick Delaborde, Marine |
author_facet |
Mariani, Joseph, J Cieri, Christopher Francopoulo, Gil Paroubek, Patrick Delaborde, Marine |
author_sort |
Mariani, Joseph, J |
title |
Facing the identification problem in language-related scientific data analysis |
title_short |
Facing the identification problem in language-related scientific data analysis |
title_full |
Facing the identification problem in language-related scientific data analysis |
title_fullStr |
Facing the identification problem in language-related scientific data analysis |
title_full_unstemmed |
Facing the identification problem in language-related scientific data analysis |
title_sort |
facing the identification problem in language-related scientific data analysis |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.science/hal-01840821 |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
International Conference on Language Resources and Evaluation https://hal.science/hal-01840821 International Conference on Language Resources and Evaluation, Jan 2014, Reykjavik, Iceland |
op_relation |
hal-01840821 https://hal.science/hal-01840821 |
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1781700508418834432 |