KBQA
Related Papers
Joint Relational Embeddings for Knowledge-based Question Answering
Transforming a natural language (NL) question into a corresponding logical form (LF) is central to the knowledge-based question answering (KB-QA) task. Un- like most previous methods that achieve this goal …...
Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs
AbstractRecent years have seen increasingly complex question-answering on knowledge bases (KBQA) involving logical, quantitative, and comparative reasoning over KB subgraphs. Neural Program Induction (NPI) is a pragmatic approach toward modularizing …...
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases
AbstractPrevious work on answering complex questions from knowledge bases usually separately addresses two types of complexity: questions with constraints and questions with multiple hops of relations. In this paper, we …...
Improving Query Graph Generation for Complex Question Answering over Knowledge Base
AbstractMost of the existing Knowledge-based Question Answering (KBQA) methods first learn to map the given question to a query graph, and then convert the graph to an executable query to …...
Knowledge Base Question Answering through Recursive Hypergraphs
AbstractKnowledge Base Question Answering (KBQA) is the problem of predicting an answer for a factoid question over a given knowledge base (KB). Answering questions typically requires reasoning over multiple links …...
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
AbstractThe key challenge of question answering over knowledge bases (KBQA) is the inconsistency between the natural language questions and the reasoning paths in the knowledge base (KB). Recent graph-based KBQA …...
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering
AbstractQuestion answering over knowledge bases (KBQA) usually involves three sub-tasks, namely topic entity detection, entity linking and relation detection. Due to the large number of entities and relations inside knowledge …...
A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning
AbstractKnowledge based question answering (KBQA) is a complex task for natural language understanding. Many KBQA approaches have been proposed in recent years, and most of them are trained based on …...
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base
AbstractPre-trained language models (PLMs) have shown their effectiveness in multiple scenarios. However, KBQA remains challenging, especially regarding coverage and generalization settings. This is due to two main factors: i) understanding …...