publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

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    Building Natural Language Generation and Understanding Systems in Data Constrained Settings
    S. Jolly
    RPTU, 2023
    PDF

2022

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    Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
    S. Jolly, P. Atanasova, and I. Augenstein
    MDPI journal Information, 2022
    PDF Code
  2. AAAI
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    Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
    S. Jolly, Z. Zhang, A. Dengel, and 1 more author
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2022
    PDF Code

2021

  1. NAACL
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    EaSe: A Diagnostic Tool for VQA Based on Answer Diversity
    S. Jolly, S. Pezzelle, and M. Nabi
    In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics, 2021
    PDF Code

2020

  1. COLING
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    Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems
    S. Jolly, T. Falke, C. Tirkaz, and 1 more author
    In Proceedings of the 28th International Conference on Computational Linguistics: Industry Track, 2020
    PDF
  2. EMNLP
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    Can Pre-training help VQA with Lexical Variations?
    S. Jolly and S. Kapoor
    In Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
    PDF
  3. LANTERN
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    Leveraging Visual Question Answering to Improve Text-to-Image Synthesis
    S. Frolov, S. Jolly, J. Hees, and 1 more author
    In Proceedings of the Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN), COLING 2020, 2020
    PDF
  4. ICPR
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    P ≈ NP, at least in Visual Question Answering
    S. Jolly, S. Palacio, J. Folz, and 3 more authors
    In International Conference on Pattern Recognition (ICPR), 2020
    PDF Code

2018

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    The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA
    S. Jolly, S. Pezzelle, T. Klein, and 2 more authors
    arXiv preprint, 2018
    PDF
  2. ICPR
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    How do Convolutional Neural Networks Learn Design?
    S. Jolly, B. Iwana, R. Kuroki, and 1 more author
    In International Conference on Pattern Recognition (ICPR), 2018
    Best Student Paper PDF