Frank Mtumbuka : Publications

Click here to download all publications in a single bibtex file

@inproceedings{JML-NAACL-2022,
  title = "Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence",
  author = "Myeongjun Jang and Frank Martin Mtumbuka and Thomas Lukasiewicz",
  year = "2022",
  booktitle = "Findings of NAACL 2022, Seattle, Washington, USA, July 2022",
  month = "July",
  pages = "2030--2042",
  publisher = "Association for Computational Linguistics",
  url = "http://dx.doi.org/10.18653/v1/2022.findings-naacl.156",
}

@inproceedings{EMNLP-ML-2022,
  title = "Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction",
  author = "Frank Mtumbuka and Thomas Lukasiewicz",
  year = "2022",
  booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2022‚ Online and in Abu Dhabi‚ December 7–11‚ 2021",
  month = "December",
  pages = "5972--5987",
  publisher = "Association for Computational Linguistics",
  url = "https://aclanthology.org/2022.emnlp-main.401",
}

@inproceedings{EMNLP-2020-1699,
  title = "Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction",
  author = "Patrick Hohenecker and Frank Mtumbuka and  Vid Kocijan and Thomas Lukasiewicz",
  year = "2020",
  booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, November 16--20, 2020",
  month = "November",
  pages = "8554--8565",
  publisher = "Association for Computational Linguistics",
  url = "https://doi.org/10.18653/v1/2020.emnlp-main.690",
}