34 citations · 44 across the 12 of their papers we have counts for
11 papers · 1 filter
Overview of the TREC 2024 NeuCLIR Track
Dawn Lawrie, Sean MacAvaney, James Mayfield +4
The principal goal of the TREC Neural Cross-Language Information Retrieval (NeuCLIR) track is to study the effect of neural approaches on cross-language information access. The tra…
MURR: Model Updating with Regularized Replay for Searching a Document Stream
Eugene Yang, Nicola Tonellotto, Dawn Lawrie +4
The Internet produces a continuous stream of new documents and user-generated queries. These naturally change over time based on events in the world and the evolution of language.…
PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval
Dawn Lawrie, Efsun Kayi, Eugene Yang +2
PLAID, an efficient implementation of the ColBERT late interaction bi-encoder using pretrained language models for ranking, consistently achieves state-of-the-art performance in mo…
Efficiency-Effectiveness Tradeoff of Probabilistic Structured Queries for Cross-Language Information Retrieval
Eugene Yang, Suraj Nair, Dawn Lawrie +3
Probabilistic Structured Queries (PSQ) is a cross-language information retrieval (CLIR) method that uses translation probabilities statistically derived from aligned corpora. PSQ i…
Overview of the TREC 2023 NeuCLIR Track
Dawn Lawrie, Sean MacAvaney, James Mayfield +4
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…
Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation
Eugene Yang, Dawn Lawrie, James Mayfield +2
Prior work on English monolingual retrieval has shown that a cross-encoder trained using a large number of relevance judgments for query-document pairs can be used as a teacher to…