Wortschatz
Tariq Yousef
Phone: +49-341-97-32315 Address: Postal Address: |
Publications
2021-
[TYSJ21]
Tariq Yousef and Stefan Jänicke: A Survey of Text Alignment Visualization. 2021
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[KKPRRY]
Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef: The Semantic Level of Shannon Information: Are Highly Informative Words Good Keywords? A Study on German. In: Natural Language Processing in Artificial Intelligence—NLPinAI 2020, Springer , 2021
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[KöKyPhiRiRieYou]
Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef: The Semantic Level of Shannon Information: Are Highly Informative Words Good Keywords? A Study on German. In: Natural Language Processing in Artificial Intelligence—NLPinAI 2020, Springer, 2021
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[KöKyPhiRiRieYo]
Max Kölbl, Yuki Kyogoku, Nathanael Philipp, Michael Richter, Clemens Rietdorf, and Tariq Yousef: Keyword extraction in German: Information-theory vs. deep learning . In: Proceedings of the 12th International Conference on Agents and Artificial Intelligence, Vol. 1, 459 - 464, 2020
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[RiYou4]
Michael Richter and Tariq Yousef: Information from topic contexts: the prediction of aspectual coding of verbs in Russian. SIGTYP workshop at EMNLP 2020 (https://sigtyp.github.io/workshops/2020/papers/2.pdf), 2020
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[RiYou]
Michael Richter and Tariq Yousef: Predicting default and non-default aspectual coding: Impact and density of information features. Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019): Kaleidoscope Abstracts - German Society for Computational Linguistics & Language Technology, 2019
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[RiYou2]
: Predicting default and non-default aspectual coding: Impact and density of information features. Proceedings of the 3rd Workshop on Natural Language for Artificial Intelligence co-located with the 18th International Conference of the Italian Association for Artificial Intelligence (AIIA 2019), 2019
BibTeX