A library of generic concepts for composing knowledge bases
Proceedings of the 1st international conference on Knowledge capture
Capturing and answering questions posed to a knowledge-based system
Proceedings of the 4th international conference on Knowledge capture
Introduction to the shared task on comparing semantic representations
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Augmenting WordNet for deep understanding of text
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Introduction to the shared task on comparing semantic representations
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Unrestricted quantifier scope disambiguation
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
Constructing a textual KB from a biology TextBook
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
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We describe Boeing's NLP system, BLUE, comprising a pipeline of a parser, a logical form (LF) generator, an initial logic generator, and further processing modules. The initial logic generator produces logic whose structure closely mirrors the structure of the original text. The subsequent processing modules then perform, with somewhat limited scope, additional transformations to convert this into a more usable representation with respect to a specific target ontology, better able to support inference. Generating a semantic representation is challenging, due to the wide variety of semantic phenomena which can occur in text. We identify seventeen such phenomena which occurred in the STEP 2008 "shared task" texts, comment on BLUE's ability to handle them or otherwise, and discuss the more general question of what exactly constitutes a "semantic representation", arguing that a spectrum of interpretations exist.