Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question
Answering

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering

8 June 2021

Diyi Yang

Papers citing "Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering"

5 / 5 papers shown

Title
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts Jiaqing Liu Chong Deng Qinglin Zhang Shilin Zhou Hai Yu Hai Yu Wen Wang 34 0 0 19 Aug 2024
Artificial Disfluency Detection, Uh No, Disfluency Generation for the Masses T. Passali T. Mavropoulos Grigorios Tsoumakas G. Meditskos S. Vrochidis 27 1 0 16 Nov 2022
Streaming Joint Speech Recognition and Disfluency Detection Hayato Futami E. Tsunoo Kentarou Shibata Yosuke Kashiwagi Takao Okuda Siddhant Arora Shinji Watanabe 28 6 0 16 Nov 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Yizhong Wang Swaroop Mishra Pegah Alipoormolabashi Yeganeh Kordi Amirreza Mirzaei ... Chitta Baral Yejin Choi Noah A. Smith Hannaneh Hajishirzi Daniel Khashabi ELM 22 778 0 16 Apr 2022
LARD: Large-scale Artificial Disfluency Generation T. Passali T. Mavropoulos Grigorios Tsoumakas G. Meditskos S. Vrochidis 22 17 0 13 Jan 2022