Search Results for author: Seungtaek Choi

Found 7 papers, 2 papers with code

Structure-Augmented Keyphrase Generation

1 code implementation EMNLP 2021 Jihyuk Kim, Myeongho Jeong, Seungtaek Choi, Seung-won Hwang

The second phase, encoding structure, builds a graph of keyphrases and the given document to obtain the structure-aware representation of the augmented text.

Keyphrase Generation

Debiasing Event Understanding for Visual Commonsense Tasks

no code implementations Findings (ACL) 2022 Minji Seo, YeonJoon Jung, Seungtaek Choi, Seung-won Hwang, Bei Liu

We study event understanding as a critical step towards visual commonsense tasks. Meanwhile, we argue that current object-based event understanding is purely likelihood-based, leading to incorrect event prediction, due to biased correlation between events and objects. We propose to mitigate such biases with do-calculus, proposed in causality research, but overcoming its limited robustness, by an optimized aggregation with association-based prediction. We show the effectiveness of our approach, intrinsically by comparing our generated events with ground-truth event annotation, and extrinsically by downstream commonsense tasks.

Retrieval-Augmented Controllable Review Generation

no code implementations COLING 2020 Jihyeok Kim, Seungtaek Choi, Reinald Kim Amplayo, Seung-won Hwang

We thus propose to additionally leverage references, which are selected from a large pool of texts labeled with one of the attributes, as textual information that enriches inductive biases of given attributes.

Review Generation Text Generation

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