34 citations · 156 across the 42 of their papers we have counts for
7 papers · 1 filter
Parameter-efficient Zero-shot Transfer for Cross-Language Dense Retrieval with Adapters
Eugene Yang, Suraj Nair, Dawn Lawrie +2
A popular approach to creating a zero-shot cross-language retrieval model is to substitute a monolingual pretrained language model in the retrieval model with a multilingual pretra…
Neural Approaches to Multilingual Information Retrieval
Dawn Lawrie, Eugene Yang, Douglas W. Oard +1
Providing access to information across languages has been a goal of Information Retrieval (IR) for decades. While progress has been made on Cross Language IR (CLIR) where queries a…
C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval
Eugene Yang, Suraj Nair, Ramraj Chandradevan +2
Pretrained language models have improved effectiveness on numerous tasks, including ad-hoc retrieval. Recent work has shown that continuing to pretrain a language model with auxili…
TARexp: A Python Framework for Technology-Assisted Review Experiments
Eugene Yang, David D. Lewis
Technology-assisted review (TAR) is an important industrial application of information retrieval (IR) and machine learning (ML). While a small TAR research community exists, the co…
Patapasco: A Python Framework for Cross-Language Information Retrieval Experiments
Cash Costello, Eugene Yang, Dawn Lawrie +1
While there are high-quality software frameworks for information retrieval experimentation, they do not explicitly support cross-language information retrieval (CLIR). To fill this…
HC4: A New Suite of Test Collections for Ad Hoc CLIR
Dawn Lawrie, James Mayfield, Douglas Oard +1
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 English…