@inproceedings{barry-etal-2020-searcher,
title = "{SEARCHER}: Shared Embedding Architecture for Effective Retrieval",
author = "Barry, Joel and
Boschee, Elizabeth and
Freedman, Marjorie and
Miller, Scott",
editor = "McKeown, Kathy and
Oard, Douglas W. and
Elizabeth and
Schwartz, Richard",
booktitle = "Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020)",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.clssts-1.4/",
pages = "22--25",
language = "eng",
ISBN = "979-10-95546-55-9",
abstract = "We describe an approach to cross lingual information retrieval that does not rely on explicit translation of either document or query terms. Instead, both queries and documents are mapped into a shared embedding space where retrieval is performed. We discuss potential advantages of the approach in handling polysemy and synonymy. We present a method for training the model, and give details of the model implementation. We present experimental results for two cases: Somali-English and Bulgarian-English CLIR."
}
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%0 Conference Proceedings
%T SEARCHER: Shared Embedding Architecture for Effective Retrieval
%A Barry, Joel
%A Boschee, Elizabeth
%A Freedman, Marjorie
%A Miller, Scott
%Y McKeown, Kathy
%Y Oard, Douglas W.
%Y Schwartz, Richard
%E Elizabeth
%S Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020)
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-55-9
%G eng
%F barry-etal-2020-searcher
%X We describe an approach to cross lingual information retrieval that does not rely on explicit translation of either document or query terms. Instead, both queries and documents are mapped into a shared embedding space where retrieval is performed. We discuss potential advantages of the approach in handling polysemy and synonymy. We present a method for training the model, and give details of the model implementation. We present experimental results for two cases: Somali-English and Bulgarian-English CLIR.
%U https://aclanthology.org/2020.clssts-1.4/
%P 22-25
Markdown (Informal)
[SEARCHER: Shared Embedding Architecture for Effective Retrieval](https://aclanthology.org/2020.clssts-1.4/) (Barry et al., CLSSTS 2020)
ACL
- Joel Barry, Elizabeth Boschee, Marjorie Freedman, and Scott Miller. 2020. SEARCHER: Shared Embedding Architecture for Effective Retrieval. In Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020), pages 22–25, Marseille, France. European Language Resources Association.