Abstract
This paper reports our first attempt of integrating eSPERTo’s paraphrastic engine, which is based on NooJ platform, with two application scenarios: a conversational agent, and a summarization system. We briefly describe eSPERTo’s base resources, and the necessary modifications to these resources that enabled the production of paraphrases required to feed both systems. Although the improvement observed in both scenarios is not significant, we present a detailed error analysis to further improve the achieved results in future experiments.
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Acknowledgments
This research was supported by Fundação para a Ciência e Tecnologia (FCT), under exploratory project eSPERTo (Ref. EXPL/MHC-LIN/2260/2013). Anabela Barreiro was also funded by FCT through post-doctoral grant SFRH/BPD/91446/2012. The authors would like to thank Max Silberztein for his prompt support and guidance with all matters related to NooJ.
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Mota, C., Barreiro, A., Raposo, F., Ribeiro, R., Curto, S., Coheur, L. (2016). eSPERTo’s Paraphrastic Knowledge Applied to Question-Answering and Summarization. In: Barone, L., Monteleone, M., Silberztein, M. (eds) Automatic Processing of Natural-Language Electronic Texts with NooJ. NooJ 2016. Communications in Computer and Information Science, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-55002-2_18
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DOI: https://doi.org/10.1007/978-3-319-55002-2_18
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