5 citations · 8 across the 12 of their papers we have counts for
3 papers · 1 filter
An ASP-based Approach to Answering Natural Language Questions for Texts
Dhruva Pendharkar, Kinjal Basu, Farhad Shakerin +1
An approach based on answer set programming (ASP) is proposed in this paper for representing knowledge generated from natural language texts. Knowledge in a text is modeled using a…
A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories
Huaduo Wang, Farhad Shakerin, Gopal Gupta
We present a clustering- and demotion-based algorithm called Kmeans-FOLD to induce nonmonotonic logic programs from positive and negative examples. Our algorithm improves upon-and…
Knowledge-driven Natural Language Understanding of English Text and its Applications
Kinjal Basu, Sarat Varanasi, Farhad Shakerin +2
Understanding the meaning of a text is a fundamental challenge of natural language understanding (NLU) research. An ideal NLU system should process a language in a way that is not…