Abstract
Inference approaches in Arabic question answering are in their first steps if we compare them with other languages. Evidently, any user is interested in obtaining a specific and precise answer to a specific question. Therefore, the challenge of developing a system capable of obtaining a relevant and concise answer is obviously of great benefit. This paper deals with answering questions about temporal information involving several forms of inference.
We have implemented this approach in a question answering system called IQAS: Inference Question Answering System for handling temporal inference.
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Notes
- 1.
TERQAS was an ARDA Workshop focusing on Temporal and Event Recognition for Question Answering Systems. www.cs.brandeis.edu/_jamesp/arda/time/readings.html.
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Neji, Z., Ellouze, M., Belguith, L.H. (2016). Pattern Based on Temporal Inference. In: Villa, A., Masulli, P., Pons Rivero, A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2016. ICANN 2016. Lecture Notes in Computer Science(), vol 9886. Springer, Cham. https://doi.org/10.1007/978-3-319-44778-0_54
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