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Chris van der Lee
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2020 – today
- 2024
- [j4]Emmelyn A. J. Croes, Marjolijn L. Antheunis, Chris van der Lee, Jan M. S. de Wit:
Digital Confessions: The Willingness to Disclose Intimate Information to a Chatbot and its Impact on Emotional Well-Being. Interact. Comput. 36(5): 279-292 (2024) - 2023
- [j3]Chris van der Lee, Thiago Castro Ferreira, Chris Emmery, Travis J. Wiltshire, Emiel Krahmer:
Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model. Comput. Linguistics 49(3): 555-611 (2023) - [i4]Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - 2022
- [i3]Chris van der Lee, Thiago Castro Ferreira, Chris Emmery, Travis J. Wiltshire, Emiel Krahmer:
Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model. CoRR abs/2207.06839 (2022) - 2021
- [j2]Chris van der Lee, Albert Gatt, Emiel van Miltenburg, Emiel Krahmer:
Human evaluation of automatically generated text: Current trends and best practice guidelines. Comput. Speech Lang. 67: 101151 (2021) - [j1]Nadine Braun, Chris van der Lee, Lorenzo Gatti, Martijn Goudbeek, Emiel Krahmer:
MEmoFC: introducing the Multilingual Emotional Football Corpus. Lang. Resour. Evaluation 55(2): 389-430 (2021) - [c12]Emiel van Miltenburg, Chris van der Lee, Emiel Krahmer:
Preregistering NLP research. NAACL-HLT 2021: 613-623 - [i2]Emiel van Miltenburg, Chris van der Lee, Emiel Krahmer:
Preregistering NLP Research. CoRR abs/2103.06944 (2021) - 2020
- [c11]Chris van der Lee, Chris Emmery, Sander Wubben, Emiel Krahmer:
The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation. INLG 2020: 68-79
2010 – 2019
- 2019
- [c10]Chris van der Lee, Tess van der Zanden, Emiel Krahmer, Maria Mos, Alexander P. Schouten:
Automatic identification of writers' intentions: Comparing different methods for predicting relationship goals in online dating profile texts. W-NUT@EMNLP 2019: 94-100 - [c9]Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer:
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. EMNLP/IJCNLP (1) 2019: 552-562 - [c8]Chris van der Lee, Albert Gatt, Emiel van Miltenburg, Sander Wubben, Emiel Krahmer:
Best practices for the human evaluation of automatically generated text. INLG 2019: 355-368 - [c7]Saar Hommes, Chris van der Lee, Felix J. Clouth, Jeroen K. Vermunt, Xander Verbeek, Emiel Krahmer:
A Personalized Data-to-Text Support Tool for Cancer Patients. INLG 2019: 443-452 - [i1]Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer:
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. CoRR abs/1908.09022 (2019) - 2018
- [c6]Chris van der Lee, Bart Verduijn, Emiel Krahmer, Sander Wubben:
Evaluating the text quality, human likeness and tailoring component of PASS: A Dutch data-to-text system for soccer. COLING 2018: 962-972 - [c5]Chris van der Lee, Emiel Krahmer, Sander Wubben:
Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods. INLG 2018: 35-45 - [c4]Lorenzo Gatti, Chris van der Lee, Mariët Theune:
Template-based multilingual football reports generation using Wikidata as a knowledge base. INLG 2018: 183-188 - [c3]Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Ahmed Ali, Suwon Shon, James R. Glass, Yves Scherrer, Tanja Samardzic, Nikola Ljubesic, Jörg Tiedemann, Chris van der Lee, Stefan Grondelaers, Nelleke Oostdijk, Dirk Speelman, Antal van den Bosch, Ritesh Kumar, Bornini Lahiri, Mayank Jain:
Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign. VarDial@COLING 2018 2018: 1-17 - 2017
- [c2]Chris van der Lee, Emiel Krahmer, Sander Wubben:
PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences. INLG 2017: 95-104 - [c1]Chris van der Lee, Antal van den Bosch:
Exploring Lexical and Syntactic Features for Language Variety Identification. VarDial 2017: 190-199
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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