Papers Cross-Lingual Information Retrieval
“Cross-Lingual Information Retrieval” 태그가 달린 논문 68편 · 필터 해제
Anveshana: A New Benchmark Dataset for Cross-Lingual Information Retrieval On English Queries and Sanskrit Documents
The study presents a comprehensive benchmark for retrieving Sanskrit documents using English queries, focusing on the chapters of the Srimadbhagavatam. It employs a tripartite approach: Direct Retrieval (DR), Translation…
Cross-Lingual Information RetrievalInformation RetrievalRAGRetrieval+1CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents
Cross-lingual information retrieval (CLIR) consists in finding relevant documents in a language that differs from the language of the queries. This paper presents CLIRudit, a new dataset created to evaluate cross-lingual…
BenchmarkingCross-Lingual Information RetrievalDocument TranslationInformation Retrieval+3Multilingual Open QA on the MIA Shared Task
Cross-lingual information retrieval (CLIR) ~\cite{shi2021cross, asai2021one, jiang2020cross} for example, can find relevant text in any language such as English(high resource) or Telugu (low resource) even when the query…
Cross-Lingual Information RetrievalInformation RetrievalPassage RetrievalQuestion Answering+4Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages
A large amount of local and culture-specific knowledge (e.g., people, traditions, food) can only be found in documents written in dialects. While there has been extensive research conducted on cross-lingual information r…
Cross-Lingual Information RetrievalCross-Lingual TransferDocument TranslationInformation Retrieval+2AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer
This study introduces AyutthayaAlpha, an advanced transformer-based machine learning model designed for the transliteration of Thai proper names into Latin script. Our system achieves state-of-the-art performance with 82…
Cross-Lingual Information RetrievalInformation RetrievalTransliterationQueryBuilder: Human-in-the-Loop Query Development for Information Retrieval
Frequently, users of an Information Retrieval (IR) system start with an overarching information need (a.k.a., an analytic task) and proceed to define finer-grained queries covering various important aspects (i.e., sub-to…
Cross-Lingual Information RetrievalEfficient ExplorationInformation RetrievalRetrievalZero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages
Large language models (LLMs) have shown impressive zero-shot capabilities in various document reranking tasks. Despite their successful implementations, there is still a gap in existing literature on their effectiveness …
Cross-Lingual Information RetrievalInformation RetrievalRerankingRetrievalSoft 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 approaches developed for cross-lingu…
Cross-Lingual Information RetrievalInformation RetrievalKnowledge DistillationRetrievalAugmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval
Effective cross-lingual dense retrieval methods that rely on multilingual pre-trained language models (PLMs) need to be trained to encompass both the relevance matching task and the cross-language alignment task. However…
Cross-Lingual Information RetrievalInformation RetrievalRetrievalSimple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval
The advent of multilingual language models has generated a resurgence of interest in cross-lingual information retrieval (CLIR), which is the task of searching documents in one language with queries from another. However…
Cross-Lingual Information RetrievalInformation RetrievalRerankingRetrievalNeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval
This paper reports on a study of cross-lingual information retrieval (CLIR) using the mT5-XXL reranker on the NeuCLIR track of TREC 2022. Perhaps the biggest contribution of this study is the finding that despite the mT5…
Cross-Lingual Information RetrievalInformation RetrievalRetrievalMachine Translation Impact in E-commerce Multilingual Search
Previous work suggests that performance of cross-lingual information retrieval correlates highly with the quality of Machine Translation. However, there may be a threshold beyond which improving query translation quality…
Cross-Lingual Information RetrievalInformation RetrievalMachine TranslationRetrieval+1Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation
Benefiting from transformer-based pre-trained language models, neural ranking models have made significant progress. More recently, the advent of multilingual pre-trained language models provides great support for design…
Cross-Lingual Information RetrievalDocument RankingInformation RetrievalMachine Translation+1Multilingual Representation Distillation with Contrastive Learning
Multilingual sentence representations from large models encode semantic information from two or more languages and can be used for different cross-lingual information retrieval and matching tasks. In this paper, we integ…
Contrastive LearningCross-Lingual Information RetrievalInformation RetrievalRetrieval+1MuSeCLIR: A Multiple Senses and Cross-lingual Information Retrieval Dataset
This paper addresses a deficiency in existing cross-lingual information retrieval (CLIR) datasets and provides a robust evaluation of CLIR systems’ disambiguation ability. CLIR is commonly tackled by combining translatio…
Cross-Lingual Information RetrievalInformation RetrievalRetrievalTranslationCONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
Fact-checking has gained increasing attention due to the widespread of falsified information. Most fact-checking approaches focus on claims made in English only due to the data scarcity issue in other languages. The lack…
Cross-lingual Fact-checkingCross-Lingual Information RetrievalCross-Lingual TransferFact Checking+3Evaluating Machine Translation in Cross-lingual E-Commerce Search
Multilingual query localization is integral to modern e-commerce. While machine translation is widely used to translate e-commerce queries, evaluation of query translation in the context of the down-stream search task is…
Cross-Lingual Information RetrievalInformation RetrievalMachine TranslationRetrieval+1Vernacular Search Query Translation with Unsupervised Domain Adaptation
With the democratization of e-commerce platforms, an increasingly diversified user base is opting to shop online. To provide a comfortable and reliable shopping experience, it's important to enable users to interact with…
Cross-Lingual Information RetrievalDomain AdaptationInformation RetrievalRetrieval+2HindiWSD: A package for word sense disambiguation in Hinglish & Hindi
A lot of commendable work has been done, especially in high resource languages such as English, Spanish, French, etc. However, work done for Indic languages such as Hindi, Tamil, Telugu, etc is relatively less due to dif…
Cross-Lingual Information RetrievalInformation RetrievalPOSPOS Tagging+4Learning Cross-Lingual IR from an English Retriever
We present a new cross-lingual information retrieval (CLIR) system trained using multi-stage knowledge distillation (KD). The teacher relies on a highly effective but expensive two-stage process consisting of query trans…
Cross-Lingual Information RetrievalInformation RetrievalKnowledge DistillationLanguage Modeling+3