Motivated by a representational model for the cross-modal interaction between language and other modalities we present a framework for the integration of contextual information int...
Much work has been done on building a parser for natural languages, but most of this work has concentrated on supervised parsing. Unsupervised parsing is a less explored area, and...
This paper describes the use of two machine learning techniques, naive Bayes and decision trees, to address the task of assigning function tags to nodes in a syntactic parse tree....
The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a ...
In this paper we present a new FrameNet-based Shallow Semantic Parser. While Shallow Semantic Parsing has been a popular Natural Language Processing task since the 2004 and 2005 C...