This paper focuses on the improvement of the conceptual structure of FrameNet for the sake of applying this resource to knowledgeintensive NLP tasks requiring reasoning, such as q...
Shallow semantic parsing, the automatic identification and labeling of sentential constituents, has recently received much attention. Our work examines whether semantic role info...
Program traces can be used to drive visualisations of reusable components, but such traces can be gigabytes in size, are very expensive to generate, and are hard to extract inform...
Craig Anslow, Stuart Marshall, Robert Biddle, Jame...
Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
We propose a gold standard for evaluating two types of information extraction output -- noun phrase (NP) chunks (Abney 1991; Ramshaw and Marcus 1995) and technical terms (Justeson...