MATERIALizing Cross-Language Information Retrieval: A Snapshot

Petra Galuscakova, Douglas Oard, Joe Barrow, Suraj Nair, Shing Han-Chin, Elena Zotkina, Ramy Eskander, Rui Zhang


Abstract
At about the midpoint of the IARPA MATERIAL program in October 2019, an evaluation was conducted on systems’ abilities to find Lithuanian documents based on English queries. Subsequently, both the Lithuanian test collection and results from all three teams were made available for detailed analysis. This paper capitalizes on that opportunity to begin to look at what’s working well at this stage of the program, and to identify some promising directions for future work.
Anthology ID:
2020.clssts-1.3
Volume:
Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020)
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
CLSSTS | LREC | WS
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
14–21
Language:
English
URL:
https://www.aclweb.org/anthology/2020.clssts-1.3
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.clssts-1.3.pdf