TEXTRUNNER
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The Tradeoffs Between Open and Traditional Relation Extraction
Traditional Information Extraction (IE) takes a relation name and hand-tagged examples of that relation as input. Open IE is a relation- independent extraction paradigm that is tai- lored to massive …...
Unsupervised Semantic Parsing
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, recursively induces lambda forms …...
Learning First-Order Horn Clauses from Web Text
Even the entire Web corpus does not explic- itly answer all questions, yet inference can un- cover many implicit answers. But where do inference rules come from? This paper investigates …...
Identifying Relations for Open Information Extraction
Open Information Extraction (IE) is the task of extracting assertions from massive corpora without requiring a pre-specified vocabulary. This paper shows that the output of state-of- the-art Open IE systems …...
Towards a Structured Representation of Generic Concepts and Relations in Large Text Corpora
Extraction of structured information from text corpora involves identifying entities and the relationship between entities ex- pressed in unstructured text. We propose a novel iterative pattern induction method to extract …...