2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI) (2016)
San Jose, CA, USA
Nov. 6, 2016 to Nov. 8, 2016
In an era where highly accurate Question Answering (QA) systems are being built using complex Natural Language Processing (NLP) and Information Retrieval (IR) algorithms, presenting the acquired answer to the user akin to a human answer is also crucial. However, so far answer presentation in QA systems has deserved as much attention. In this paper we present an answer presentation strategy by embedding the answer in a sentence which is developed by incorporating the linguistic structure of the source question. In essence we demonstrate that the linguistic structure of the question extracted through typed dependency parsing is a good starting point for presenting the answer as a natural language sentence. The evaluation using human participants proved that the methodology is human-competitive and can result in linguistically correct sentences for more that 70% of the test dataset acquired from QALD question dataset.
Pragmatics, Natural languages, Merging, Rivers, Bridges, Databases, Syntactics,Linked Data, Question Answering, Answer Presentation, Semantic Web
Rivindu Perera, Parma Nand, "Generating Answer Sentences in Question Answering Systems", 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), vol. 00, no. , pp. 812-819, 2016, doi:10.1109/ICTAI.2016.0127