Inhaltspezifische Aktionen

Veröffentlichungen (Auswahl)

Science communication-Artikel:
https://www.scientia.global/professor-gerhard-heyer-dr-michael-richter-models-for-understanding-language/

 

Monograph


Michael Richter. Verbkonstruktionen im Deutschen. Eine transformationelle Analyse syntaktischer Erscheinungen innerhalb des deutschen Verbsystems im Rahmen der semantischen Syntax. PhD Dissertation Katholieke Universiteit Nijmegen. 2000.

 

Aufsätze


Michael Richter. Roeland van Hout. Why some verbs can form a resultative construction while
others cannot: decomposing Semantic Binding. Lingua 120 (8), 2006-2021. 2010.
(https://doi.org/10.1016/j.lingua.2010.02.007)

Michael Richter. Roeland van Hout. Interpreting resultative sentences in German: stages in L1
acquisition. Linguistics 51(1), 117 – 144. 2013. (https://doi.org/10.1515/ling-2013-0004)

Michael Richter. Schließen auf Verbklassen. Zeitschrift für germanistische Linguistik 43(2), 183 – 198. 2015. (https://doi.org/10.1515/zgl-2015-0013)

Michael Richter, Roeland van Hout. A classification of German verbs using empirical data and conceptions of Vendler and Dowty. Sprache und Datenverarbeitung – International Journal for Language Data Processing 38. 1-2/2014: The language of mathematics computational, linguistic and logical aspects, 81 – 117. 2016.

Michael Richter, Roeland van Hout. Transitivity in similarity judgments on German verbs: disclosing lexical categories and aspectual types. The Mental Lexicon (11:1), 76-93. 2016.
(https://doi.org/10.1075/ml.11.1.04ric)

Michael Richter, Roeland van Hout.  Aspectual coercion of telic verbs and atelic adverbials in German: Acceptability judgments on sentences with conflicting aspectual information by native speakers. Lingua 214. 59:73, 2018 (https://doi.org/10.1016/j.lingua.2018.08.004).

Michael Richter, Giuseppe Celano. Aspectual coding asymmetries: predicting aspectual verb lengths by the effects frequency and information content. Topics in Linguistics (20) 2, 54 – 66, 2019
(https://doi.org/10.2478/topling-2019-0009).

Michael Richter, Roeland van Hout. Ranking Dutch intensifiers: a usage-based approach. Language and Cognition 12(2), 343 – 359. 2020. (https://doi.org/10.1017/langcog.2019.50)

 

Buchkapitel

 

Michael Richter, Jürgen Hermes, Claes Neuefeind. Aspectual classifications: Use of raters’ associations and co-occurrences of verbs for aspectual classification in German. In Jaap van den Herik, Ana Paula Rocha (eds.), Agents and Artificial Intelligence. ICAART 2018. Lecture Notes in Artificial Intelligence (LNAI), vol. 11352, 467 – 491. Springer, Cham 2019.
(https://doi.org/10.1007/978-3-030-05453-3_22)

Michael Richter, Yuki Kyogoku, Max Kölbl. Interaction of Information Content and Frequency as predictors of verbs' lengths. In Witold Abramowicz, Rafael Corchuelo (eds.),
Business Information Systems: 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part I, Lecture Notes in Business Information Processing 353. Springer, 271 – 282. Springer, 2019 (https://doi.org/10.1007/978-3-030-20485-3)

Michael Richter, Yuki Kyogoku, Max Kölbl. Estimation of Average Information Content:  Comparison of impact of contexts. In Y. Bi, R. Bhatia R., S. Kapoor (eds.), Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference, IntelliSys 2019, London, UK, September 5-6, 2019, Volume 2. Advances in Intelligent Systems and computing 1038, 1251 – 1257. Springer, 2020.
(https://doi.org/10.1007/978-3-030-29513-4_91).


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: Loukanova R. (eds) Natural Language Processing in Artificial Intelligence—NLPinAI 2020. Studies in Computational Intelligence, vol 939. Springer, Cham. 2021.
(https://doi.org/10.1007/978-3-030-63787-3_5)

 

Konferenzbeiträge (peer review)


Michael Richter, Jürgen Hermes. Classification of German verbs using nouns in argument positions and aspectual features. In Vito Pirrelli, Claudia Marzi, Marcello Ferro (ed.), Word Structure and Word Usage. Proceedings of the NetWordS Final Conference, 177 – 181. 2015. (http://ceur-ws.org), (Vol. 1347).

Jürgen Hermes, Michael Richter, Claes Neuefeind. Automatic induction of German aspectual verb classes in a distributional framework. In International Conference of the German Society for Computational Linguistics and Language Technology. Proceedings of the conference (GSCL 2015), 122 - 129. 2015. (http://www.gscl.org/proceedings/2015/)
Jürgen Hermes, Michael Richter, Claes Neuefeind. Supervised Classification of Aspectual Verb Classes in German. Subcategorization-Frame-Based vs Window-Based Approach: A Comparison. In Ana Paula Rocha, Jaap van den Herik (eds.), Proceedings of ICAART 2018. 10th International Conference on Agents and Artificial Intelligence, Vol. 2, 653 – 662. 2018. (https://doi.org/10.5220/0006728106530662).
(http://www.scitepress.org/DigitalLibrary/ProceedingsDetails.aspx?ID=A4tTTJZXBMQ=&t=1)

Giuseppe Celano, Michael Richter, Rebecca Voll, Gerhard Heyer. Aspect coding asymmetries of verbs: The case of Russian. In Adrien Barbaresi, Hanno Biber, Friedrich Neubarth, Rainer Osswald (eds.), KONVENS 2018. PROCEEDINGS of the 14th Conference on Natural Language Processing, 34 – 39. 2018.
(https://www.oeaw.ac.at/fileadmin/subsites/academiaecorpora/PDF/konvens18_05.pdf 
https://austriaca.at/8437-9)

Michael Richter, Tariq Yousef. 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 (http://ceur-ws.org/Vol-2521/paper-08.pdf) (full article version of [28], see below)

Max Kölbl, Yuki Kuogoku, Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef. Keyword extraction in German: Information-theory vs. deep learning, Proceedings of the 12th International Conference on Agents and Artificial Intelligence (Vol. 1), 459 – 464, ICAART 2020, La Valetta, Malta (https://www.scitepress.org/PublicationsDetail.aspx?ID=srbATxkK7As=&t=1)
(DOI: 10.5220/0009374704590464), 2020.

Michael Richter, Tariq Yousef. Information from topic contexts: the prediction of aspectual coding of verbs in Russian.  Proceedings of the Second Workshop on Computational Research in Linguistic Typology. Association for Computational Linguistics.  Workshop at EMNLP 2020. (https://sigtyp.github.io/workshops/2020/papers/2.pdf; https://www.aclweb.org/anthology/2020.sigtyp-1.0