Herr Dr.

Michael Roth

Emmy Noether-Gruppenleiter
Institut für Maschinelle Sprachverarbeitung
Emmy Noether Nachwuchsgruppe MIST

Kontakt

+49 711 685-81367

Pfaffenwaldring 5b
70569 Stuttgart
Deutschland
Raum: 01.020

Sprechstunde

Nach Vereinbarung.


Neuigkeiten

Siehe englische Webseite.


Über mich

Seit März 2019 leite ich eine Emmy Noether-Forschungsgruppe der DFG hier am Institut für Maschinelle Sprachverarbeitung. Ich bin außerdem mit dem SFB 1102 der Universität des Saarlandes assoziiert. Zuvor arbeitete ich als Postdoktorand bei Prof. Manfred Pinkal und als DFG-Forschungsstipendiat bei Prof. Mirella Lapata und Prof. Dan Roth.

Das übergreifende Ziel meiner Forschung ist es, Modelle sprachlicher Bedeutung zu entwickeln, die ein automatisches Textverständnis über die Satzebene hinaus ermöglichen. Meine jüngsten Arbeiten konzentrieren sich auf die Modellierung von Missverständisursachen, Skriptwissen und lexikalische/rollensemantische Bedeutung im Diskurskontext.

Ich wurde an der Universität Heidelberg in Computerlinguistik promoviert und habe an der Universität des Saarlandes einen M.Sc. in Sprachwissenschaft und -technologie erworben. Nach meiner Promotion hatte ich Forschungspositionen an der Universität Stuttgart, der University of Edinburgh und der University of Illinois at Urbana-Champaign inne.

  1. 2019

    1. Wanzare, L. D. A., Roth, M., & Pinkal, M. (2019). Detecting Everyday Scenarios in Narrative Texts. Proceedings of the Second Workshop on Storytelling, 90--106. https://doi.org/10.18653/v1/W19-3410
    2. Ostermann, S., Roth, M., & Pinkal, M. (2019). MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants. Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), 103--117. https://doi.org/10.18653/v1/S19-1012
    3. Ostermann, S., Zhang, S., Roth, M., & Clark, P. (2019). Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report. Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing, 66--74. https://doi.org/10.18653/v1/D19-6007
    4. Roth, M., & Upadhyay, S. (2019). Combining Discourse Markers and Cross-lingual Embeddings for Synonym--Antonym Classification. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 3899--3905. https://doi.org/10.18653/v1/N19-1390
  2. 2018

    1. Khashabi, D., Chaturvedi, S., Roth, M., Upadhyay, S., & Roth, D. (2018). Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 252--262. http://aclweb.org/anthology/N/N18/N18-1023.pdf
    2. Ostermann, S., Roth, M., Modi, A., Thater, S., & Pinkal, M. (2018). SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge. Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), 747--757. http://aclweb.org/anthology/S/S18/S18-1119.pdf
    3. Kamper, H., & Roth, M. (2018). Visually Grounded Cross-lingual Keyword Spotting in Speech. The 6th International Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2018). https://www.isca-speech.org/archive/SLTU_2018/pdfs/Herman.pdf
    4. Ostermann, S., Modi, A., Roth, M., Thater, S., & Pinkal, M. (2018). MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), 3567--3574. http://www.lrec-conf.org/proceedings/lrec2018/pdf/225.pdf
  3. 2017

    1. Diamantopoulos, T. G., Roth, M., Symeonidis, A. L., & Klein, E. (2017). Software requirements as an application domain for natural language processing. Language Resources and Evaluation, 51(2), 495–524. http://dblp.uni-trier.de/db/journals/lre/lre51.html#DiamantopoulosR17
    2. Mostafazadeh, N., Roth, M., Louis, A., Chambers, N., & Allen, J. (2017). LSDSem 2017 Shared Task: The Story Cloze Test. Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-Level Semantics, 46--51. http://aclweb.org/anthology/W17-0906.pdf
    3. Roth, M. (2017). Role Semantics for Better Models of Implicit Discourse Relations. Proceedings of the 12th International Conference on Computational Semantics (IWCS). http://www.aclweb.org/anthology/W/W17/W17-6934.pdf
    4. Ostermann, S., Roth, M., Thater, S., & Pinkal, M. (2017). Aligning Script Events with Narrative Texts. Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM), 128--134. http://www.aclweb.org/anthology/S17-1016.pdf
  4. 2016

    1. Roth, M. (2016). Improving Frame Semantic Parsing via Dependency Path Embeddings. Book of Abstracts of the 9th International Conference on Construction Grammar, 165--167. http://www.ufjf.br/iccg9/files/2015/02/ICCG9_Book_of_Abstracts_v1.pdf#page=167
    2. Roth, M., & Lapata, M. (2016). Neural Semantic Role Labeling with Dependency Path Embeddings. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1192--1202. http://www.aclweb.org/anthology/P16-1113
  5. 2015

    1. Roth, M., & Frank, A. (2015). Inducing Implicit Arguments from Comparable Texts: A Framework and its Applications. Computational Linguistics, 41(4), 625--664. http://www.mitpressjournals.org/doi/full/10.1162/COLI_a_00236
    2. Roth, M., & Lapata, M. (2015). Context-aware Frame-Semantic Role Labeling. Transactions of the Association for Computational Linguistics (TACL), 3, 449--460. https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/652
    3. Roth, M., & Klein, E. (2015). Parsing Software Requirements with an Ontology-based Semantic Role Labeler. Proceedings of the IWCS Workshop Language and Ontologies, 14--21. http://www.aclweb.org/anthology/W/W15/W15-0403.pdf
  6. 2014

    1. Roth, M. (2014). Inducing Implicit Arguments via Cross-document Alignment: A Framework and its Applications [Heidelberg University, Germany]. http://www.ub.uni-heidelberg.de/archiv/17050
    2. Roth, M., & Woodsend, K. (2014). Composition of Word Representations Improves Semantic Role Labelling. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 407--413. http://www.aclweb.org/anthology/D14-1045.pdf
    3. Roth, M., & Schulte im Walde, S. (2014). Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2, 524--530. http://aclweb.org/anthology//P/P14/P14-2086.pdf
    4. Roth, M., Diamantopoulos, T., Klein, E., & Symeonidis, A. (2014). Software Requirements: A New Domain For Semantic Parsers. Proceedings of the ACL 2014 Workshop on Semantic Parsing (SP14), 50--54. http://www.aclweb.org/anthology/W14-2410.pdf
  7. 2013

    1. Moor, T., Roth, M., & Frank, A. (2013). Predicate-specific Annotations for Implicit Role Binding: Corpus Annotation, Data Analysis  and  Evaluation Experiments. Proceedings of the 10th International Conference on Computational Semantics (IWCS), 369--375. http://www.aclweb.org/anthology/W13-0211.pdf
    2. Roth, M., & Frank, A. (2013). Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling. Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*SEM), 306--316. http://www.aclweb.org/anthology/S13-1043.pdf
  8. 2012

    1. Roth, M., & Frank, A. (2012a). Aligning Predicate Argument Structures in Monolingual Comparable Texts: A new corpus for a new task. Proceedings of the First Joint Conference on Lexical and Computational Semantics (*SEM), 218--227. http://aclweb.org/anthology//S/S12/S12-1030.pdf
    2. Roth, M., & Frank, A. (2012b). Aligning Predicates across Monolingual Comparable Texts using Graph-based Clustering. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP), 171--182. http://www.aclweb.org/anthology/D12-1016.pdf
  9. 2011

    1. Schuldes, S., Boland, K., Roth, M., Strube, M., Kroemker, S., & Frank, A. (2011). Modeling Spatial Knowledge for Generating Verbal and Visual Route Directions. Proceedings of the 15th Annual KES Conference, Part IV, 366--377.
  10. 2010

    1. Roth, M., & Frank, A. (2010). Computing EM-based Alignments of Routes and Route Directions as a Basis for Natural Language Generation. Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 958--966. http://www.aclweb.org/anthology/C10-1108.pdf
  11. 2009

    1. Roth, M., & Frank, A. (2009). A NLG-based Application for Walking Directions. Companion Volume to the Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP), 37--40. http://aclweb.org/anthology/P/P09/P09-4010.pdf
    2. Schuldes, S., Roth, M., Frank, A., & Strube, M. (2009). Creating an Annotated Corpus for Generating Walking Directions. Proceedings of the ACL-IJCNLP’09 Workshop on Language Generation and Summarisation (UCNLG+Sum), 72--76. http://aclweb.org/anthology/W/W09/W09-2814.pdf
  12. 2008

    1. Roth, M. (2008). Representing FrameNet in Semantic Spaces.
    2. Schulte im Walde, S., Melinger, A., Roth, M., & Weber, A. (2008). An Empirical Characterisation of Response Types in German Association Norms. In Research on Language and Computation (No. 2; Vol. 6, Issue 2, pp. 205–238).
    3. Mukherjee, S., Fradkin, D., & Roth, M. (2008). Classifying Spend Transactions with Off-the-Shelf Learning Components. Proceedings of IEEE International Conference on Tools in Artificial Intelligence (ICTAI), 53--60.
    4. Pennacchiotti, M., Cao, D. D., Basili, R., Croce, D., & Roth, M. (2008). Automatic induction of FrameNet lexical units. Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP), 457--465. http://www.aclweb.org/anthology/D/D08/D08-1048.pdf
    5. Roth, M., & Schulte im Walde, S. (2008). Corpus Co-Occurrence and Dictionary and Wikipedia Entries as Resources for Semantic Relatedness Information. Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC), 1852--1859. http://www.lrec-conf.org/proceedings/lrec2008/pdf/473_paper.pdf
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