Narrative Time

This project involves extracting narrative timelines from natural language text, i.e., understanding the order and timing of events mentioned in a narrative, in order to enable automatic reasoning over this information.

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Citations

• S. Kulshreshtha O. Kovaleva N. Shivagunde A. Rumshisky Down and Across: Introducing Crossword-Solving as a New NLP Benchmark Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

  PDF BibTeX

  @article{kulshreshtha2022down,
  				title={Down and Across: Introducing Crossword-Solving as a New NLP Benchmark},
  				author={Kulshreshtha, Saurabh and Kovaleva, Olga and Shivagunde, Namrata and Rumshisky, Anna},
  				journal={arXiv preprint arXiv:2205.10442},
  				year={2022}}

• A. Rogers O. Kovaleva M. Downey A. Rumshisky Getting Closer to AI-complete Question Answering: A Set of Prerequisite Real Tasks. Proceedings of AAAI 2020.

  PDF BibTeX

  @inproceedings{rogers2020getting,
  							title={Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks},
  							author={Rogers, A and Kovaleva, O and Downey, M and Rumshisky, A},
  							booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  						year={2020}
  					}

• Y. Meng A. Rumshisky Context-Aware Neural Model for Temporal Information Extraction. Proceedings of ACL 2018. Melbourne, Australia.

  PDF BibTeX

  @inproceedings{meng2018context,
  						title={Context-Aware Neural Model for Temporal Information Extraction},
  						author={Meng, Yuanliang and Rumshisky, Anna},
  						booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  						volume={1},
  						pages={527--536},
  						year={2018}
  						}
  				

• Y. Meng A. Rumshisky Triad-based Neural Network for Coreference Resolution. Proceedings of COLING 2018. Santa Fe, New Mexico.

  PDF BibTeX

  @article{meng_triad-based_2018,
  					author = “Meng, Yuanliang and Rumshisky, Anna”,
  					title = “Triad-based {Neural} {Network} for {Coreference} {Resolution}",
  					language = “en”,
  					journal = “Proceedings of COLING”,
  					year = “2018”,
  					pages = “9”
  					}
  				

• Y. Meng A. Rumshisky A. Romanov Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture. Proceedings of EMNLP 2017. Copenhagen, Denmark.

  PDF BibTeX

  @inproceedings{meng_temporal_2017,
  					author = “Meng, Yuanliang and Rumshisky, Anna and Romanov, Alexey”,
  					address = “Copenhagen, Denmark”,
  					title = “Temporal {Information} {Extraction} for {Question} {Answering} {Using} {Syntactic} {Dependencies} in an {LSTM}-based {Architecture}",
  					booktitle = “Proceedings of the 2017 {Conference} on {Empirical} {Methods} in {Natural} {Language} {Processing}",
  					publisher = “Association for Computational Linguistics”,
  					year = “2017”,
  					pages = “887–896”
  					}
  					

Funding

This work is funded by an NSF CAREER award to Anna Rumshisky (IIS-1652742)