Abstract
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. 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 extracted through typed dependency parsing. 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.- Anthology ID:
- W16-4406
- Volume:
- Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016)
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Venue:
- WS
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 44–48
- Language:
- URL:
- https://aclanthology.org/W16-4406
- DOI:
- Cite (ACL):
- Rivindu Perera and Parma Nand. 2016. Answer Presentation in Question Answering over Linked Data using Typed Dependency Subtree Patterns. In Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016), pages 44–48, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Answer Presentation in Question Answering over Linked Data using Typed Dependency Subtree Patterns (Perera & Nand, 2016)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W16-4406.pdf