This paper describes a probabilistic answer selection framework for question answering. In contrast with previous work using individual resources such as ontologies and the Web to...
Subgoal interactions have received considerable attention in AI Planning. Earlier analyses by Korf [11] and Joslin and Roach [6] were done in terms of the topology of the space of...
Subbarao Kambhampati, Laurie H. Ihrig, Biplav Sriv...
LogAnswer is an open domain question answering system which employs an automated theorem prover to infer correct replies to natural language questions. For this purpose LogAnswer o...
This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval. We tackle a frequently-oc...
Maintaining materialized views that have join conditions between arbitrary pairs of data sources possibly with cycles is critical for many applications. In this work, we model vie...