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Large-scale Semantic Parsing without Question-Answer Pairs
AbstractIn this paper we introduce a novel semantic parsing approach to query Freebase in natural language without requiring manual annotations or question-answer pairs. Our key insight is to represent natural …...
Question Answering on Freebase via Relation Extraction and Textual Evidence
Existing knowledge-based question an- swering systems often rely on small an- notated training data. While shallow meth- ods like relation extraction are robust to data scarcity, they are less expressive …...
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge
AbstractWith the rapid growth of knowledge bases (KBs) on the web, how to take full advantage of them becomes increasingly important. Question answering over knowledge base (KB-QA) is one of …...
Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing
AbstractSemantic parsers critically rely on accurate and high-coverage lexicons. However, traditional semantic parsers usually utilize annotated logical forms to learn the lexicon, which often suffer from the lexicon coverage problem. …...
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases
AbstractWhen answering natural language questions over knowledge bases (KBs), different question components and KB aspects play different roles. However, most existing embedding-based methods for knowledge base question answering (KBQA) ignore …...