Dieses Bild zeigt Michael Roth

Michael Roth

Herr Dr.

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

Kontakt

Pfaffenwaldring 5b
70569 Stuttgart
Deutschland
Raum: 01.020

Sprechstunde

Nach Vereinbarung.


Weitere Informationen finden Sie auf meiner englischen Seite.

 

  1. 2023

    1. Fanton, N., Falenska, A., & Roth, M. (2023). How-to Guides for Specific Audiences: A Corpus and Initial Findings. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 321--333. https://doi.org/10.18653/v1/2023.acl-srw.46
  2. 2022

    1. Sikos, J., Roth, M., & Padó, S. (2022). Improving Multilingual Frame Identification by Estimating Frame Transferability. Linguistic Issues in Language Technology, 19. https://doi.org/10.33011/lilt.v19i.939
    2. Vanderlyn, L., Anthonio, T., Ortega, D., Roth, M., & Vu, N. T. (2022). Toward Implicit Reference in Dialog: A Survey of Methods and Data. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing.
    3. Anthonio, T., Sauer, A., & Roth, M. (2022). Clarifying Implicit and Underspecified Phrases in Instructional Text. Proceedings of the Language Resources and Evaluation Conference, 3319--3330. https://aclanthology.org/2022.lrec-1.354
    4. Roth, M., Anthonio, T., & Sauer, A. (2022). SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), 1039--1049. https://aclanthology.org/2022.semeval-1.146
  3. 2021

    1. Anthonio, T., & Roth, M. (2021). Resolving Implicit References in Instructional Texts. Proceedings of the 2nd Workshop on Computational Approaches to Discourse, 58--71. https://aclanthology.org/2021.codi-main.6
    2. Debnath, A., & Roth, M. (2021). A Computational Analysis of Vagueness in Revisions of Instructional Texts. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 30--35. https://www.aclweb.org/anthology/2021.eacl-srw.5
    3. Roth, M., & Anthonio, T. (2021). UnImplicit Shared Task Report: Detecting Clarification Requirements in Instructional Text. Proceedings of the 1st Workshop on Understanding Implicit and Underspecified Language, 28--32. https://aclanthology.org/2021.unimplicit-1.4
  4. 2020

    1. Bhat, I., Anthonio, T., & Roth, M. (2020). Towards Modeling Revision Requirements in wikiHow Instructions. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 8407--8414. https://www.aclweb.org/anthology/2020.emnlp-main.675
    2. Anthonio, T., & Roth, M. (2020). What Can We Learn from Noun Substitutions in Revision Histories? Proceedings of the 28th International Conference on Computational Linguistics, 1359--1370. https://www.aclweb.org/anthology/2020.coling-main.117
    3. Anthonio, T., Bhat, I., & Roth, M. (2020). wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts. Proceedings of the 12th Language Resources and Evaluation Conference, 5721--5729. https://www.aclweb.org/anthology/2020.lrec-1.702
    4. Anikina, T., Koller, A., & Roth, M. (2020). Predicting Coreference in Abstract Meaning Representations. Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, 33--38. https://www.aclweb.org/anthology/2020.crac-1.4
  5. 2019

    1. 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. 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
    3. 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
    4. 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
  6. 2018

    1. 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
    2. 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
    3. 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
    4. 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
  7. 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), Article 2. http://dblp.uni-trier.de/db/journals/lre/lre51.html#DiamantopoulosR17
    2. 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
    3. 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
    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
  8. 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
  9. 2015

    1. 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
    2. Roth, M., & Frank, A. (2015). Inducing Implicit Arguments from Comparable Texts: A Framework and its Applications. Computational Linguistics, 41(4), Article 4. http://www.mitpressjournals.org/doi/full/10.1162/COLI_a_00236
    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
  10. 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., 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
    3. 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
    4. 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
  11. 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
  12. 2012

    1. Roth, M., & Frank, A. (2012). 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
    2. Roth, M., & Frank, A. (2012). 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
  13. 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.
  14. 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
  15. 2009

    1. 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
    2. 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
  16. 2008

    1. 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
    2. 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
    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. 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 (2; Bd. 6, Nummer 2, S. 205–238).
    5. Roth, M. (2008). Representing FrameNet in Semantic Spaces.
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