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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval ... Yang, Eugene; Nair, Suraj; Chandradevan, Ramraj. - : arXiv, 2022 BASE Show details 2 Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models ... Nair, Suraj; Yang, Eugene; Lawrie, Dawn; Duh, Kevin; McNamee, Paul; Murray, Kenton; Mayfield, James; Oard, Douglas W.. - : arXiv, 2022 Abstract: The advent of transformer-based models such as BERT has led to the rise of neural ranking models. These models have improved the effectiveness of retrieval systems well beyond that of lexical term matching models such as BM25. While monolingual retrieval tasks have benefited from large-scale training collections such as MS MARCO and advances in neural architectures, cross-language retrieval tasks have fallen behind these advancements. This paper introduces ColBERT-X, a generalization of the ColBERT multi-representation dense retrieval model that uses the XLM-RoBERTa (XLM-R) encoder to support cross-language information retrieval (CLIR). ColBERT-X can be trained in two ways. In zero-shot training, the system is trained on the English MS MARCO collection, relying on the XLM-R encoder for cross-language mappings. In translate-train, the system is trained on the MS MARCO English queries coupled with machine translations of the associated MS MARCO passages. Results on ad hoc document ranking tasks in several ... : Accepted at ECIR 2022 (Full paper) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR URL: https://arxiv.org/abs/2201.08471 https://dx.doi.org/10.48550/arxiv.2201.08471 BASE Hide details 3 Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review ... Yang, Eugene; MacAvaney, Sean; Lewis, David D.. - : arXiv, 2021 BASE Show details 4 USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis Harihara, Ganesh; Yang, Eugene; Chambers, Nathanael In: DTIC (2013) BASE Show details

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