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
Editors:
Kathy McKeown, Douglas W. Oard, Elizabeth, Richard Schwartz
Venue:
CLSSTS
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
14–21
Language:
English
URL:
https://aclanthology.org/2020.clssts-1.3
DOI:
Bibkey:
Cite (ACL):
Petra Galuscakova, Douglas Oard, Joe Barrow, Suraj Nair, Shing Han-Chin, Elena Zotkina, Ramy Eskander, and Rui Zhang. 2020. MATERIALizing Cross-Language Information Retrieval: A Snapshot. In Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020), pages 14–21, Marseille, France. European Language Resources Association.
Cite (Informal):
MATERIALizing Cross-Language Information Retrieval: A Snapshot (Galuscakova et al., CLSSTS 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2020.clssts-1.3.pdf
PDF Search