Open Domain Question Answering Task
- See: TREC, Javelin, SQuASH System.
- In information retrieval, an open domain question answering system aims at returning an answer in response to the user’s question. The returned answer is in the form of short texts rather than a list of relevant documents. The system uses a combination of techniques from computational linguistics, information retrieval and knowledge representation for finding answers. The system takes a natural language question as an input rather than a set of keywords, for example, “When is the national day of China?” The sentence is then transformed into a query through its logical form. Having the input in the form of a natural language question makes the system more user-friendly, but harder to implement, as there are various question types and the system will have to identify the correct one in order to give a sensible answer. Assigning a question type to the question is a crucial task, the entire answer extraction process relies on finding the correct question type and hence the correct answer type.
- (Strzalkowski & Harabagiu, 2006) ⇒ Tomek Strzalkowski (editor), and Sanda M. Harabagiu (editor). (2006). “Advances in Open Domain Question Answering." Springer. ISBN:978-1-4020-4744-2
- (Moldovan et al., 2003) ⇒ Dan Moldovan, Marius Paşca, Sanda Harabagiu, and Mihai Surdeanu. (2003). “Performance Issues and Error Analysis in an Open-Domain Question Answering System.” In: ACM Transactions on Information Systems (TOIS) 21(2). doi:10.1145/763693.763694