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 …

We present CLIRMatrix, a massively large collection of bilingual and multilingual datasets
for Cross-Lingual Information Retrieval extracted automatically from Wikipedia. CLIRMatrix …

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 …

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 …

Pre-trained contextualized representations offer great success for many downstream tasks,
including document ranking. The multilingual versions of such pre-trained representations …

In cross-language information retrieval using probabilistic structured queries (PSQ),
translation probabilities from statistical machine translation act as a bridge between the …

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 …

The traditional evaluation of information retrieval (IR) systems is generally very costly as it
requires manual relevance annotation from human experts. Recent advancements in …

In this work, we propose a novel method for generating inter-lingual document
representations using neural network concept compression. The presented approach is …

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 …