Andreas Liesenfeld
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Geciteerd door
Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators
A Liesenfeld, A Lopez, M Dingemanse
Proceedings of the 5th international conference on conversational user …, 2023
From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology
M Dingemanse, A Liesenfeld
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
Beyond Single-Mindedness: A Figure-Ground Reversal for the Cognitive Sciences
M Dingemanse, A Liesenfeld, M Rasenberg, S Albert, FK Ameka, ...
Cognitive Science, 2023
M Dingemanse
Oxford: Oxford University Press, 2021
Bottom-up discovery of structure and variation in response tokens (‘backchannels’) across diverse languages
A Liesenfeld, M Dingemanse
INTERSPEECH, 1126-1130, 2022
Profiling the Chinese causative construction with rang (讓), shi (使) and ling (令) using frame semantic features
A Liesenfeld, M Liu, CR Huang
Corpus Linguistics and Linguistic Theory 18 (2), 263-306, 2022
Building and curating conversational corpora for diversity-aware language science and technology
A Liesenfeld, M Dingemanse
arXiv preprint arXiv:2203.03399, 2022
Convergent cultural evolution of continuers (mhmm)
M Dingemanse, A Liesenfeld, M Woensdregt
Joint Conference on Language Evolution (JCoLE), 160-167, 2022
Cantonese turn-initial minimal particles: annotation of discourse-interactional functions in dialog corpora
A Liesenfeld
Proceedings of the 33rd Pacific Asia Conference on Language, Information and …, 2019
Evaluation of Automatic Speech Recognition for Conversational Speech in Dutch, English and German: What Goes Missing?
A Lopez, A Liesenfeld, M Dingemanse
Proceedings of the 18th Conference on Natural Language Processing (KONVENS …, 2022
NameSpec asks: What's Your Name in Chinese? A Voice Bot to Specify Chinese Personal Names through Dialog
A Liesenfeld, C Huang
Proceedings of the 2nd Conference on Conversational User Interfaces, 1-3, 2020
The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems
A Liesenfeld, A Lopez, M Dingemanse
arXiv preprint arXiv:2307.15493, 2023
Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features
A Liesenfeld, G Parti, YY Hsu, CR Huang
arXiv preprint arXiv:2102.13355, 2021
MYCanCor: A video corpus of spoken Malaysian Cantonese
A Liesenfeld
Proceedings of the Eleventh International Conference on Language Resources …, 2018
Effects of filled pauses on memory recall in human-robot interaction in Mandarin Chinese
X Chen, A Liesenfeld, S Li, Y Yao
International Conference on Human-Computer Interaction, 3-17, 2022
Deep Learning Meets Private Talk: Conversational AI Can Predict Speaker Traits by Eavesdropping for Only 30 Seconds
A Liesenfeld, G Parti, C Huang
Proceedings of Mensch und Computer 2021, 547-551, 2021
Scikit-talk: A toolkit for processing real-world conversational speech data
A Liesenfeld, G Parti, CR Huang
Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
K Hu, JB Kim, C Zong, E Chersoni
Proceedings of the 35th Pacific Asia Conference on Language, Information and …, 2021
Action formation with janwai in Cantonese Chinese conversation
AM Liesenfeld
Extracting construction networks from Cantonese speech corpora using clustering algorithms
A Liesenfeld
Proceedings of the Corpus Linguistics Conference, University of Birmingham, 2017
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Artikelen 1–20