Constructing Large Proposition Databases
Peter Exner, Pierre Nugues · 2012
With the advent of massive online encyclopedic corpora such as Wikipedia, it has become possible to apply a systematic analysis to a wide range of documents covering a significant part of human knowledge.Using semantic parsers, it has become possible to extract such knowledge in the form of propositions (predicate-argument structures) and build large proposition databases from these documents.This paper describes the creation of multilingual proposition databases using generic semantic dependency parsing.Using Wikipedia, we extracted, processed, clustered, and evaluated a large number of propositions.We built an architecture to provide a complete pipeline dealing with the input of text, extraction of knowledge, storage, and presentation of the resulting propositions.