{"total":21,"rows":[{"id":"2106.04016","title":"Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering","created":"2021-06-08","cited_by_count":20,"area":null},{"id":"2104.10769","title":"Disfluency Detection with Unlabeled Data and Small BERT Models","created":"2021-04-21","cited_by_count":17,"area":null},{"id":"2307.15493","title":"The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems","created":"2023-07-28","cited_by_count":9,"area":null},{"id":"2201.05041","title":"LARD: Large-scale Artificial Disfluency Generation","created":"2022-01-13","cited_by_count":7,"area":null},{"id":"2306.00996","title":"Weakly-supervised forced alignment of disfluent speech using phoneme-level modeling","created":"2023-05-30","cited_by_count":7,"area":null},{"id":"2104.04429","title":"Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Do","created":"2021-04-09","cited_by_count":6,"area":null},{"id":"2311.00867","title":"Automatic Disfluency Detection from Untranscribed Speech","created":"2023-11-01","cited_by_count":6,"area":null},{"id":"2311.05550","title":"Towards End-to-End Spoken Grammatical Error Correction","created":"2023-11-09","cited_by_count":6,"area":null},{"id":"2109.09105","title":"What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study","created":"2021-09-19","cited_by_count":5,"area":null},{"id":"2203.16028","title":"Span Classification with Structured Information for Disfluency Detection in Spoken Utterances","created":"2022-03-30","cited_by_count":5,"area":null},{"id":"2210.15063","title":"Four-in-One: A Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognition","created":"2022-10-26","cited_by_count":5,"area":null},{"id":"2301.10761","title":"Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives","created":"2023-01-25","cited_by_count":5,"area":null},{"id":"2106.07794","title":"Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcripts","created":"2021-06-14","cited_by_count":3,"area":null},{"id":"2412.12710","title":"Enhancing Naturalness in LLM-Generated Utterances through Disfluency Insertion","created":"2024-12-17","cited_by_count":3,"area":null},{"id":"2203.03399","title":"Building and curating conversational corpora for diversity-aware language science and technology","created":"2022-03-07","cited_by_count":2,"area":null},{"id":"2211.09235","title":"Artificial Disfluency Detection, Uh No, Disfluency Generation for the Masses","created":"2022-11-16","cited_by_count":1,"area":null},{"id":"2211.14700","title":"A novel multimodal dynamic fusion network for disfluency detection in spoken utterances","created":"2022-11-27","cited_by_count":1,"area":null},{"id":"2511.01619","title":"ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbian","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2211.02812","title":"Evaluation of Automated Speech Recognition Systems for Conversational Speech: A Linguistic Perspective","created":"2022-11-05","cited_by_count":0,"area":null},{"id":"2507.19867","title":"DRIVE: Disfluency-Rich Synthetic Dialog Data Generation Framework for Intelligent Vehicle Environments","created":"2025-07-26","cited_by_count":0,"area":null},{"id":"2603.16258","title":"Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpus","created":"2026-03-17","cited_by_count":0,"area":null}],"next_cursor":null}