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http://hdl.handle.net/2183/42065 tExplain: Information Extraction with Explanations
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Cabalar, P., Dorsey, A., Fandinno, J., Lierler, Y., Muñiz, B., Sare, J. (2025). tExplain: Information Extraction with Explanations. In: Dodaro, C., Gupta, G., Martinez, M.V. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2024. Lecture Notes in Computer Science(), vol 15245. Springer, Cham. https://doi.org/10.1007/978-3-031-74209-5_4
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[Abstract]: We present a narrative understanding tool that takes as an input a narrative in natural English language that contains both sentences describing actions as well as questions and outputs answers to those questions together with natural language explanations justifying those answers. We evaluate our tool on the several tasks of Facebook’s bAbI challenge where it achieves 100% accuracy.
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Presented in the following conference: LPNMR 2024: 17th International Conference on Logic Programming and Nonmonotonic Reasoning, Dallas, TX, USA, October 11–14, 2024
This version of the conference paper has been accepted for publication, after peer review; it is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-74209-5_4.
This version of the conference paper has been accepted for publication, after peer review; it is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-74209-5_4.
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© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG. This version is subject to Springer Nature’s AM terms of use - https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms.