Cross-language information retrieval
Two key assumptions shape the usual view of ranked retrieval:(1) that the searcher can
choose words for their query that might appear in the documents that they wish to see, and …
choose words for their query that might appear in the documents that they wish to see, and …
Overview of the TREC 2023 NeuCLIR Track
The principal goal of the TREC Neural Cross-Language Information Retrieval (NeuCLIR)
track is to study the impact of neural approaches to cross-language information retrieval. The …
track is to study the impact of neural approaches to cross-language information retrieval. The …
CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval
We present CLIRMatrix, a massively large collection of bilingual and multilingual datasets
for Cross-Lingual Information Retrieval extracted automatically from Wikipedia. CLIRMatrix …
for Cross-Lingual Information Retrieval extracted automatically from Wikipedia. CLIRMatrix …
AfriCLIRMatrix: Enabling cross-lingual information retrieval for african languages
Abstract Language diversity in NLP is critical in enabling the development of tools for a wide
range of users. However, there are limited resources for building such tools for many …
range of users. However, there are limited resources for building such tools for many …
Cross-lingual learning-to-rank with shared representations
Cross-lingual information retrieval (CLIR) is a document retrieval task where the documents
are written in a language different from that of the user's query. This is a challenging problem …
are written in a language different from that of the user's query. This is a challenging problem …
[PDF][PDF] Quality estimation from scratch (quetch): Deep learning for word-level translation quality estimation
This paper describes the system submitted by the University of Heidelberg to the Shared
Task on Word-level Quality Estimation at the 2015 Workshop on Statistical Machine …
Task on Word-level Quality Estimation at the 2015 Workshop on Statistical Machine …
Mind the gap: Cross-lingual information retrieval with hierarchical knowledge enhancement
Abstract Cross-Lingual Information Retrieval (CLIR) aims to rank the documents written in a
language different from the user's query. The intrinsic gap between different languages is an …
language different from the user's query. The intrinsic gap between different languages is an …
Improving low-resource cross-lingual document retrieval by reranking with deep bilingual representations
In this paper, we propose to boost low-resource cross-lingual document retrieval
performance with deep bilingual query-document representations. We match queries and …
performance with deep bilingual query-document representations. We match queries and …
[HTML][HTML] Why is a document relevant? Understanding the relevance scores in cross-lingual document retrieval
Modern cross-lingual document retrieval models are capable of finding documents relevant
to the query. However, they do not have the capabilities for explaining why the document is …
to the query. However, they do not have the capabilities for explaining why the document is …
Mixed attention transformer for leveraging word-level knowledge to neural cross-lingual information retrieval
Pre-trained contextualized representations offer great success for many downstream tasks,
including document ranking. The multilingual versions of such pre-trained representations …
including document ranking. The multilingual versions of such pre-trained representations …