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tExplain: Information Extraction with Explanations

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Logic Programming and Nonmonotonic Reasoning (LPNMR 2024)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 15245))

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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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Notes

  1. 1.

    CLib was populated with knowledge stemming from linguistic and ontological resources, such as verbnet  [2], wordnet  [3], framenet  [1], and English dictionaries.

References

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Correspondence to Jorge Fandinno .

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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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  • DOI: https://doi.org/10.1007/978-3-031-74209-5_4

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-74209-5

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