Papers by Johann Rocholl

1 papers
MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup (2023.emnlp-main)

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Challenge: Disfluency detection models focus on individual utterances, but discontinuities in spoken transcripts occur across multiple turns.
Approach: They propose a multi-turn "cleanup task" to detect discontinuities in spoken conversations . they leverage two modeling approaches for experimental evaluation as benchmarks .
Outcome: The proposed task detects "discontinuities" in spoken conversations that can be removed . the results are compared with existing methods and are expected to be validated in the future .

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