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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology
Mark Dingemanse, Andreas Liesenfeld
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 19

Showing 19 citing articles:

Reclaiming AI as a theoretical tool for cognitive science
Iris van Rooij, Olivia Guest, Federico Adolfi, et al.
(2023)
Open Access | Times Cited: 25
Reclaiming AI as a Theoretical Tool for Cognitive Science
Iris van Rooij, Olivia Guest, Federico Adolfi, et al.
Computational Brain & Behavior (2024)
Open Access | Times Cited: 15
Turn-timing in conversations between autistic adults: Typical short-gap transitions are preferred, but not achieved instantly
Simon Wehrle, Francesco Cangemi, Alicia Janz, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284029-e0284029
Open Access | Times Cited: 9
Multilingual Large Language Models Are Not (Yet) Code-Switchers
Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 9
Backchannels in conversations between autistic adults are less frequent and less diverse prosodically and lexically
Simon Wehrle, Kai Vogeley, Martine Grice
Language and Cognition (2023) Vol. 16, Iss. 1, pp. 108-133
Open Access | Times Cited: 6
Content-free speech activity records: interviews with people with schizophrenia
Francesco Cangemi, Martine Grice, Alicia Janz, et al.
Language Resources and Evaluation (2023) Vol. 58, Iss. 3, pp. 925-949
Open Access | Times Cited: 4
Putting Natural in Natural Language Processing
Grzegorz Chrupała
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 7820-7827
Open Access | Times Cited: 4
Bottom-up discovery of structure and variation in response tokens (‘backchannels’) across diverse languages
Andreas Liesenfeld, Mark Dingemanse
Interspeech 2022 (2022), pp. 1126-1130
Open Access | Times Cited: 3
Language Ideology Bias in Conversational Technology
Sviatlana Höhn, Bettina Migge, Doris Dippold, et al.
Lecture notes in computer science (2024), pp. 133-148
Closed Access
Finding continuers in Swedish Sign Language
Carl Börstell
Linguistics Vanguard (2024)
Closed Access
talkr: Plotting Conversation Data
Mark Dingemanse, Barbara Vreede, Eva Viviani, et al.
(2024)
Open Access
Can Language Models Trained on Written Monologue Learn to Predict Spoken Dialogue?
Muhammad Umair, Julia Mertens, Lena Warnke, et al.
Cognitive Science (2024) Vol. 48, Iss. 11
Closed Access
Pause Length and Differences in Cognitive State Attribution in Native and Non-Native Speakers
Theresa Matzinger, Michael Pleyer, Przemysław Żywiczyński
Languages (2023) Vol. 8, Iss. 1, pp. 26-26
Open Access | Times Cited: 1
Robot Sound in Interaction : Analyzing and Designing Sound for Human-Robot Coordination
Hannah Pelikan
Studies in language and culture (2023)
Open Access | Times Cited: 1
Backchannels in conversations between autistic adults are less frequent and less diverse prosodically and lexically
Simon Wehrle, Kai Vogeley, Martine Grice
(2023)
Open Access | Times Cited: 1
The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems
Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
(2023), pp. 482-495
Open Access | Times Cited: 1
Using Interaction Style Dimensions to Characterize Spoken Dialog Corpora
Nigel G. Ward
(2022), pp. 225-230
Open Access | Times Cited: 1
The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems
Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
arXiv (Cornell University) (2023)
Open Access
A Semi-Real-Time Method for Social Robots to Detect and Locate Overlapping Speech Events
Yue Li, Koen V. Hindriks, Florian Kunneman
(2023), pp. 2086-2093
Open Access
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