OPEN DOMAIN QUESTION ANSWERING SYSTEM USING SEMANTIC ROLE LABELING

sJanta: An Open Domain Question Answering System

This paper reports on the participation of the system namely “sJanta” at NII Testbeds and Community for Information Access Research Project 11 (NTCIR-11) Question Answering (QA)-Lab English sub-task. sJanta is a modular question answering system that can answer multiple choice questions given in English natural language. We use English Wikipedia as knowledge-base. At first we retrieved Wikipedi...

Research on Open Domain Question Answering System

Aiming at open domain question answering system evaluation task in the fourth CCF Natural Language Processing and Chinese Computing Conference (NLPCC2015), a solution of automatic question answering which can answer natural language questions is proposed. Firstly, SPE (Subject Predicate Extraction) algorithm is presented to find answers from the knowledge base, and then WKE (Web Knowledge Extra...

Open-domain question answering

Question answering aims to develop techniques that can go beyond the retrieval of relevant documents in order to return exact answers to natural language questions, such as “How tall is the Eiffel Tower?”, “Which cities have a subway system?”, and “Who is Alberto Tomba?”. Answering natural language questions requires more complex processing of text than employed by current information retrieval...

Open-Domain Question-Answering

Deploying Semantic Resources for Open Domain Question Answering

This thesis investigates how semantic resources can be deployed to improve the accuracy of an open domain question answering (QA) system. In particular, two types of semantic resources have been utilized to answer factoid questions: (1) Semantic parsing techniques are applied to analyze questions for semantic structures and to find phrases in the knowledge source that match these structures. (2...