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 …
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 …
HC4: A new suite of test collections for ad hoc CLIR
HC4 is a new suite of test collections for ad hoc Cross-Language Information Retrieval
(CLIR), with Common Crawl News documents in Chinese, Persian, and Russian, topics in …
(CLIR), with Common Crawl News documents in Chinese, Persian, and Russian, topics in …
Soft Prompt Decoding for Multilingual Dense Retrieval
In this work, we explore a Multilingual Information Retrieval (MLIR) task, where the collection
includes documents in multiple languages. We demonstrate that applying state-of-the-art …
includes documents in multiple languages. We demonstrate that applying state-of-the-art …
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 …
Combining contextualized and non-contextualized query translations to improve CLIR
In cross-language information retrieval using probabilistic structured queries (PSQ),
translation probabilities from statistical machine translation act as a bridge between the …
translation probabilities from statistical machine translation act as a bridge between the …
Constraint translation candidates: A bridge between neural query translation and cross-lingual information retrieval
Query translation (QT) is a key component in cross-lingual information retrieval system
(CLIR). With the help of deep learning, neural machine translation (NMT) has shown …
(CLIR). With the help of deep learning, neural machine translation (NMT) has shown …
Reliable confidence intervals for information retrieval evaluation using generative ai
The traditional evaluation of information retrieval (IR) systems is generally very costly as it
requires manual relevance annotation from human experts. Recent advancements in …
requires manual relevance annotation from human experts. Recent advancements in …
NCC: Neural concept compression for multilingual document recommendation
In this work, we propose a novel method for generating inter-lingual document
representations using neural network concept compression. The presented approach is …
representations using neural network concept compression. The presented approach is …
Domain transfer based data augmentation for neural query translation
Query translation (QT) serves as a critical factor in successful cross-lingual information
retrieval (CLIR). Due to the lack of parallel query samples, neural-based QT models are …
retrieval (CLIR). Due to the lack of parallel query samples, neural-based QT models are …