Papers by Seungmin Seo

1 papers
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information (D19-1)

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Challenge: Existing methods for sentence ordering are based on pairwise strategies.
Approach: They propose a topic-guided coherence modeling (TGCM) for sentence ordering that utilizes sentence vectors in a permutation-invariant manner.
Outcome: The proposed model outperforms state-of-the-art models from various perspectives.

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