True Knowledge: Open-Domain Question Answering Using Structured Knowledge and Inference

True Knowledge: Open-Domain Question Answering Using Structured Knowledge and Inference

80 AI MAGAZINE True Knowledge is an open-domain question-answering platform. Behind the platform is a large and growing knowledge base of the world’s knowledge in structured form combining commonsense, factual, and lexical knowledge. Natural language questions are answered by first translating the question into a language-independent query and then executing the query using both knowledge in th...

Open Domain Question Answering System Based on Knowledge Base

Aiming at the task of open domain question answering based on knowledge base in NLP&CC 2016, we propose a SPE (subject predicate extraction) algorithm which can automatically extract a subjectpredicate pair from a simple question and translate it to a KB query. A novel method based on word vector similarity and predicate attention is used to score the candidate predicate after a simple topic en...

Question answering from structured knowledge sources

We present an implemented approach for domain-restricted question answering from structured knowledge sources, based on robust semantic analysis in a hybrid NLP system architecture. We perform question interpretation and answer extraction in an architecture that builds on a lexical-conceptual structure for question interpretation, which is interfaced with domain-specific concepts and properties...

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