@InProceedings{hahm-nam-choi:2016:OKBQA2016,
  author    = {Hahm, Younggyun  and  Nam, Sangha  and  CHOI, KEY-SUN},
  title     = {QAF: Frame Semantics-based Question Interpretation},
  booktitle = {Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {82--90},
  abstract  = {Natural language questions are interpreted to a sequence of patterns to be
	matched with instances of patterns in a knowledge base (KB) for answering. A
	natural language (NL) question answering (QA) system utilizes meaningful
	patterns matching the syntac-tic/lexical features between the NL questions and
	KB. In the most of KBs, there are only binary relations in triple form to
	represent relation between two entities or entity and a value using the domain
	specific ontology. However, the binary relation representation is not enough to
	cover complex information in questions, and the ontology vocabulary sometimes
	does not cover the lexical meaning in questions. Complex meaning needs a
	knowledge representation to link the binary relation-type triples in KB. In
	this paper, we propose a frame semantics-based semantic parsing approach as
	KB-independent question pre-processing. We will propose requirements of
	question interpretation in the KBQA perspective, and a query form
	representation based on our proposed format QAF (Ques-tion Answering with the
	Frame Semantics), which is supposed to cover the requirements. In QAF, frame
	semantics roles as a model to represent complex information in questions and to
	disambiguate the lexical meaning in questions to match with the ontology
	vocabu-lary. Our system takes a question as an input and outputs QAF-query by
	the process which assigns semantic information in the question to its
	corresponding frame semantic structure using the semantic parsing rules.},
  url       = {http://aclweb.org/anthology/W16-4412}
}