Dr. Christian M. Meyer

Geschriebene Forschung:

Meine Publikationen.

2021

A. P.V.S., M. Peyrard und C. M. Meyer: Live Blog Summarization. Language Resources and Evaluation (LRE) Journal, Vol. 55(1): 33–62, Januar 2021.

2020

Y. Gao, C. M. Meyer und I. Gurevych: Preference-based Interactive Multi-Document Summarisation. Information Retrieval Journal: Special Issue on Learning from User Interactions, Vol. 23(6): 555–585, Dezember 2020.
J. Lee, C. M. Meyer und I. Gurevych: Empowering Active Learning to Jointly Optimize System and User Demands. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), S. 4233–4247, Juli 2020. virtuelle Konferenz.

2019

F. Böhm, Y. Gao, C. M. Meyer, O. Shapira, I. Dagan und I. Gurevych: Better Rewards Yield Better Summaries: Learning to Summarise Without Refer­ences. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP/IJCNLP), S. 3101–3111, November 2019. Hong Kong, China.
J. Pfeiffer, C. M. Meyer, C. Schulz, J. Kiesewetter, J. Zottmann, M. Sailer, E. Bauer, F. Fischer, M. R. Fischer und I. Gurevych: FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing: System Demonstrations (EMNLP/IJCNLP), S. 73–78, November 2019. Hong Kong, China.
Y. Gao, C. M. Meyer, M. Mesgar und I. Gurevych: Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), S. 2350–2356, August 2019. Macau, China.
J. Lee, E. Schwan und C. M. Meyer: Manipulating the Difficulty of C-Tests. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), S. 360–370, Juli 2019. Florenz, Italien.
C. Schulz, C. M. Meyer, J. Kiesewetter, M. Sailer, E. Bauer, M. R. Fischer, F. Fischer und I. Gurevych: Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), S. 2761–2772, Juli 2019. Florenz, Italien.
C. Schulz, C. M. Meyer und I. Gurevych: Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning. In: Proceedings of the 33rd Conference on Artificial Intelligence (AAAI), S. 6974–6981, Januar 2019. Honolulu, HI, USA.
A. P.V.S. und C. M. Meyer: Data-efficient Neural Text Compression with Interactive Learning. In: Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), S. 2543–2554, Juni 2019. Minneapolis, MN, USA.

2018

Y. Gao, C. M. Meyer und I. Gurevych: APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), S. 4120–4130, Oktober 2018. Brüssel, Belgien.
I. Gurevych, C. M. Meyer, C. Binnig, J. Fürnkranz, K. Kersting, S. Roth und E. Simpson: Interactive Data Analytics for the Humanities. In: Computational Linguistics and Intelligent Text Processing: Proceedings of the 18th International Conference. Part I (= Lecture Notes in Computer Science, Vol. 10761), S. 527–549. Cham: Springer, Oktober 2018. Budapest, Ungarn.
A. P.V.S., B. Hättasch, O. Özyurt, C. Binnig und C. M. Meyer: Sherlock: A System for Interactive Summarization of Large Text Collections. In: Proceedings of the VLDB Endowment (VLDB), S. 1902–1905, August 2018. Rio de Janeiro, Brasilien.
A. Hanselowski, A. P.V.S., B. Schiller, F. Caspelherr, D. Chaudhuri, C. M. Meyer und I. Gurevych: A Retrospective Analysis of the Fake News Challenge Stance-Detection Task. In: Proceedings of the 27th International Conference on Computational Linguistics (COLING), S. 1859–1874 , August 2018. Santa Fe, NM, USA.
C. Tauchmann, T. Arnold, A. Hanselowski, C. M. Meyer und M. Mieskes: Beyond Generic Summarization: A Multi-faceted Hierar­chical Summarization Corpus of Large Hetero­ge­ne­ous Data. In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), S. 3184–3191, Mai 2018. Miyazaki, Japan.
S. Wolfer, T. Bartz, T. Weber, A. Abel, C. M. Meyer, C. Müller-Spitzer und A. Storrer: The effectiveness of lexicographic tools for optimising written L1-texts. International Journal of Lexicography, Vol. 31(1): 1–28, März 2018.

2017

T. Falke, C. M. Meyer und I. Gurevych: Concept-Map-Based Multi-Document Summarization using Concept Co-Refer­ence Resolution and Global Importance Optimization. In: Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), S. 801–811, November 2017. Taipeh, Taiwan.
C. M. Meyer und A. Abel: User participation in the Internet era. Kapitel 45 in P. A. Fuertes Olivera (Hrsg.): The Routledge Handbook of Lexicography (= Routledge Handbooks in Linguistics), S. 735–753. Abingdon/New York: Routledge, Oktober 2017.
A. P.V.S. und C. M. Meyer: Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), S. 1353–1363, Juli 2017. Vancouver, Kanada.

2016

C. M. Meyer, J. Eckle-Kohler und I. Gurevych: Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary. In: Proceedings of the 26th International Conference on Computational Linguistics (COLING), S. 2071–2081, Dezember 2016. Osaka, Japan.
C. M. Meyer, D. Benikova, M. Mieskes und I. Gurevych: MDSWriter: Annotation tool for creating high-quality multi-document summarization corpora. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL), S. 97–102, August 2016. Berlin, Deutschland.

2014

C. M. Meyer und I. Gurevych: Methoden bei kol­la­bo­ra­tiven Wörter­büchern. Lexicographica, Vol. 30(1): 187–212, November 2014.
C. M. Meyer, M. Mieskes, C. Stab und I. Gurevych: DKPro Agreement: An Open-Source Java Library for Measuring Inter-Rater Agreement. In: Proceedings of the 25th International Conference on Computational Linguistics: System Demonstrations (COLING), S. 105–109, August 2014. Dublin, Irland.

2013

C. M. Meyer: Wiktionary: The Metalexicographic and the Natural Language Processing Perspective. Dissertation (= tuprints 3654), Technische Uni­ver­si­tät Darmstadt, Oktober 2013.

2012

C. M. Meyer und I. Gurevych: To Exhibit is not to Loiter: A Multilingual, Sense-Disambiguated Wiktionary for Measuring Verb Similarity. In: Proceedings of the 24th International Conference on Computational Linguistics (COLING), Vol. 4, S. 1763–1780, Dezember 2012. Mumbai, Indien.
C. M. Meyer und I. Gurevych: Wiktionary: A new rival for expert-built lexicons? Exploring the possibilities of collaborative lexicography. Kapitel 13 in S. Granger und M. Paquot (Hrsg.): Electronic Lexicography, S. 259–291. Oxford: Oxford University Press, November 2012.
I. Gurevych, J. Eckle-Kohler, S. Hartmann, M. Matuschek, C. M. Meyer und C. Wirth: UBY – A Large-Scale Unified Lexical-Semantic Resource Based on LMF. In: Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL), S. 580–590, April 2012. Avignon, Frankreich.
C. M. Meyer und I. Gurevych: OntoWiktionary – Constructing an Ontology from the Collaborative Online Dictionary Wiktionary. Kapitel 6 in M. T. Pazienza und A. Stellato (Hrsg.): Semi-Automatic Ontology Development: Processes and Resources, S. 131–161. Hershey, PA: IGI Global, Februar 2012.

2011

C. M. Meyer und I. Gurevych: What Psycholinguists Know About Chemistry: Aligning Wiktionary and WordNet for Increased Domain Coverage. In: Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), S. 883–892, November 2011. Chiang Mai, Thailand.

2010

C. M. Meyer und I. Gurevych: Worth its Weight in Gold or Yet Another Resource – A Comparative Study of Wiktionary, Open­Thesaurus and GermaNet. In A. Gelbukh (Hrsg.): Computational Linguistics and Intelligent Text Processing: Proceedings of the 11th International Conference (= Lecture Notes in Computer Science, Vol. 6008), S. 38–49. Berlin/Heidelberg: Springer, März 2010.

2009

C. M. Meyer: Combining Answers from heterogeneous Web Documents for Question Answering. Master Thesis, Technische Uni­ver­si­tät Darmstadt, April 2009.

 

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Association for Computational Linguistics

Computational Linguistics and Intelligent Text Processing: Proceedings of the 18th International Conference (© Springer)

European Network for Combining Language Learning with Crowdsourcing Techniques (enetCollect)

Jahrestagung des Instituts für Deutsche Sprache (© De Gruyter)

DFG-Forschungsnetzwerk „Internetlexikografie“

Lexicographica: Internationales Jahrbuch für Lexikographie (© De Gruyter)

OPAL - Online publizierte Arbeiten zur Linguistik

LMF: Lexical Markup Framework (© Wiley-ISTE)

Electronic Lexicography (© Oxford University Press)

Semi-Automatic Ontology Development: Processes and Resources (© IGI Global)

WebScience Trust

Computational Linguistics and Intelligent Text Processing: Proceedings of the 11th International Conference (© Springer)

GSCL: Gesellschaft für Sprachtechnologie und Computerlinguistik

Technische Universität Darmstadt

Logos einiger Konferenzen, Veranstaltungen, Institute, Organisationen und Verlage zu meinen Publikationen.