“Lightweight” semantic annotation of text calls for a simple representation, ideally without requiring a semantic lexicon to achieve good coverage in the language and domain. ...
Nathan Schneider, Behrang Mohit, Kemal Oflazer, No...
GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For applicati...
The semantic annotation of documents is an additional advantage for retrieval, as long as the annotations and their maintenance process scale well. Automatic or semi-automatic ann...
In this paper we present a method for semantic annotation of texts, which is based on a deep linguistic analysis (DLA) and Inductive Logic Programming (ILP). The combination of DLA...
This paper describes how to use annotation to provide semantic information. The applications include the automatic construction of a GUI so that the user input is constrained to a...
This paper describes a system architecture, which enables the automatic semantic annotation and adaptation of multimedia content in context-aware content sharing environments. The ...
Saar De Zutter, Mark Asbach, Sarah De Bruyne, Mich...
Background: Advanced Text Mining (TM) such as semantic enrichment of papers, event or relation extraction, and intelligent Question Answering have increasingly attracted attention...
Background: Large volumes of morphological descriptions of whole organisms have been created as print or electronic text in a human-readable format. Converting the descriptions in...
This paper presents the syntactic and semantic tags used to annotate predicate-argument structure in the Berkeley FrameNet Project. It briefly explains the theory of frame semanti...
This paper proposes a grammar-based approach to semantic annotation which combines the notions of robust parsing and fuzzy grammars. We present an overview of a preliminary resear...