SOTAVerified

Cross-Lingual Information Retrieval

Cross-Lingual Information Retrieval (CLIR) is a retrieval task in which search queries and candidate documents are written in different languages. CLIR can be very useful in some scenarios. For example, a reporter may want to search foreign language news to obtain different perspectives for her story; an inventor may explore the patents in another country to understand prior art.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 31–40 of 68 papers

TitleStatusHype
CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines—0
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval TaskCode0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
A Study of Neural Matching Models for Cross-lingual IR—0
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-CommerceCode0
From Linguistic Resources to Ontology-Aware Terminologies: Minding the Representation Gap—0
The 2019 BBN Cross-lingual Information Retrieval System—0
Show:102550
← PrevPage 4 of 7Next →

No leaderboard results yet.