• Office: APB 3042
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Research Interests

  • Natural Language Processing (NLP) and language related topics, e.g.
    • Dialogue Systems
    • Natural Language Generation (NLG)
  • Information Retrieval (IR) and semantic representations (embeddings) for
    • Natural language
    • Source code
    • Mathematical formulae
    • Scientific documents
  • NLP and IR for Chinese and Japanese

Publications (4)

  • Teaching BERT Mathematics

    Teaching BERT Mathematics.

    Reusch, A.; Thiele, M.; Lehner, W.

    SciNLP 20212021.

    @article{,
       author = {Anja Reusch and Maik Thiele and Wolfgang Lehner},
       title = {Teaching BERT Mathematics},
       year = {2021},
       month = {10},
       numpages = {2}
    }

  • TU_DBS in the ARQMath Lab 2021, CLEF

    TU_DBS in the ARQMath Lab 2021, CLEF.

    Reusch, A.; Thiele, M.; Lehner, W.

    To appear in CEUR Workshop Proceedings.CLEF '21, Online.2021.

    @inproceedings{,
       author = {Anja Reusch and Maik Thiele and Wolfgang Lehner},
       title = {TU_DBS in the ARQMath Lab 2021, CLEF},
       booktitle = {CEUR Workshop Proceedings},
       year = {2021},
       month = {09},
       isbn = {978-1-6654-4890-1/21},
       location = {Online},
       numpages = {18}
    }

  • An ALBERT-based Similarity Measure for Mathematical Answer Retrieval

    An ALBERT-based Similarity Measure for Mathematical Answer Retrieval.

    Reusch, A.; Thiele, M.; Lehner, W.

    In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.SIGIR '21, Online.1593-1597,2021.

    @inproceedings{,
       author = {Anja Reusch and Maik Thiele and Wolfgang Lehner},
       title = {An ALBERT-based Similarity Measure for Mathematical Answer Retrieval},
       booktitle = {Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.},
       volume = {44},
       year = {2021},
       month = {07},
       isbn = {978-1-4503-8037-9/21/07},
       location = {Online},
       pages = {1593--1597},
       numpages = {4},
       url = {https://doi.org/10.1145/3404835.3463023}
    }

  • RecipeGM: A Hierarchical Recipe Generation Model

    RecipeGM: A Hierarchical Recipe Generation Model.

    Reusch, A.; Weber, A.; Thiele, M.; Lehner, W.

    In 2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW).ICDEW '21, Online.IEEE,24-29,2021.

    @inproceedings{,
       author = {Anja Reusch and Alexander Weber and Maik Thiele and Wolfgang Lehner},
       title = {RecipeGM: A Hierarchical Recipe Generation Model},
       booktitle = {2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW)},
       volume = {37},
       year = {2021},
       month = {04},
       isbn = {978-1-6654-4890-1/21},
       location = {Online},
       pages = {24--29},
       numpages = {5},
       url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9438787},
       publisher = {IEEE}
    }

Research Projects (0)

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No projects found for this author.

Lectures and Courses (3)

Summer Term 2021

Diploma Theses (1)

Master's Theses (1)

  • Vidya Chandrashekar

    Retrieval of Formulas from ARQMath Challenge Dataset using Joint Embedings

    Vidya Chandrashekar July 12th, 2021 until December 20th, 2021

    Supervision: Wolfgang Lehner

Bachelor's Theses (5)

Student Project Theses (4)