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ORCIDMichael Richter 0004
Person information
- affiliation: Leipzig University, Natural Language Processing Group, Germany
- affiliation: Radboud University Nijmegen, The Netherlands
Other persons with the same name
- Michael Richter — disambiguation page
- Michael Richter 0001
![[0000-0002-5220-9995]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5220-9995")
— Royal Holloway - University of London, Department of Economics, UK (and 1 more) - Michael Richter 0002 — Intel Mobile Communications, Neubiberg, Germany (and 1 more)
- Michael Richter 0003 — Micron Semiconductor (Deutschland) GmbH, Munich, Germany
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Journal Articles
- 2023
[j2]Michael Richter:
A Synoptic Primer: Review of Wissensrohstoff Text: Eine Einführung in das Text Mining (2022). Digit. Humanit. Q. 17(4) (2023)- 2022
- [j1]Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef:
Beyond the Failure of Direct-Matching in Keyword Evaluation: A Sketch of a Graph Based Solution. Frontiers Artif. Intell. 5: 801564 (2022)
Conference and Workshop Papers
- 2023
- [c14]J. Nathanael Philipp, Max Kölbl, Yuki Kyogoku, Michael Richter:
Perplexed by Idioms? SEMANTiCS 2023: 70-76 - [c13]Jonas Nathanael Phlipp, Michael Richter, Erik Daas, Max Kölbl:
Are idioms surprising? KONVENS 2023: 149-154 - 2022
- [c12]Michael Richter, Maria Bardají I. Farré, Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Tariq Yousef, Gerhard Heyer, Nikolaus P. Himmelmann:
Uniform Density in Linguistic Information Derived from Dependency Structures. ICAART (1) 2022: 496-503 - [c11]J. Nathanael Philipp, Max Kölbl, Yuki Kyogoku, Tariq Yousef, Michael Richter:
One Step Beyond: Keyword Extraction in German Utilising Surprisal from Topic Contexts. SAI (2) 2022: 774-786 - 2020
- [c10]Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef:
Keyword Extraction in German: Information-theory vs. Deep Learning. ICAART (1) 2020: 459-464 - 2019
- [c9]Michael Richter, Tariq Yousef:
Predicting Default and Non-Default Aspectual Coding: Impact and Density of Information Features. NL4AI@AI*IA 2019 - [c8]Michael Richter, Yuki Kyogoku, Max Kölbl:
Interaction of Information Content and Frequency as Predictors of Verbs' Lengths. BIS (1) 2019: 271-282 - [c7]Michael Richter, Yuki Kyogoku, Max Kölbl:
Estimation of Average Information Content: Comparison of Impact of Contexts. IntelliSys (2) 2019: 1251-1257 - [c6]Michael Richter, Tariq Yousef:
Predicting default and non-default aspectual coding: Impact and density of information features. KONVENS 2019 - 2018
- [c5]Michael Richter, Jürgen Hermes, Claes Neuefeind:
Aspectual Classifications: Use of Raters' Associations and Co-occurrences of Verbs for Aspectual Classification in German. ICAART (Revised Selected Papers) 2018: 467-491 - [c4]Jürgen Hermes, Michael Richter, Claes Neuefeind:
Supervised Classification of Aspectual Verb Classes in German - Subcategorization-Frame-Based vs Window-Based Approach: A Comparison. ICAART (2) 2018: 653-662 - [c3]Giuseppe G. A. Celano, Michael Richter, Rebecca Voll, Gerhard Heyer:
Aspect coding asymmetries of verbs: The case of Russian. KONVENS 2018: 34-39 - 2015
- [c2]Jürgen Hermes, Michael Richter, Claes Neuefeind:
Automatic Induction of German Aspectual Verb Classes in a Distributional Framework. GSCL 2015: 122-129 - [c1]Michael Richter, Jürgen Hermes:
Classification of German verbs using nouns in argument positions and aspectual features. NetWordS 2015: 177-181
Coauthor Index
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