Search Results for author: Jungsoo Park

Found 5 papers, 4 papers with code

Refining Query Representations for Dense Retrieval at Test Time

no code implementations25 May 2022 Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee

Dense retrieval uses a contrastive learning framework to learn dense representations of queries and contexts.

Contrastive Learning Passage Retrieval

FaVIQ: FAct Verification from Information-seeking Questions

1 code implementation ACL 2022 Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi

Claims in FAVIQ are verified to be natural, contain little lexical bias, and require a complete understanding of the evidence for verification.

Fact Checking Fact Verification +1

Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering

1 code implementation ACL 2021 Gangwoo Kim, Hyunjae Kim, Jungsoo Park, Jaewoo Kang

One of the main challenges in conversational question answering (CQA) is to resolve the conversational dependency, such as anaphora and ellipsis.

Question Rewriting

Adversarial Subword Regularization for Robust Neural Machine Translation

1 code implementation Findings of the Association for Computational Linguistics 2020 Jungsoo Park, Mujeen Sung, Jinhyuk Lee, Jaewoo Kang

Exposing diverse subword segmentations to neural machine translation (NMT) models often improves the robustness of machine translation as NMT models can experience various subword candidates.

Machine Translation Translation

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