As a technical matter, the way in which FrameNet analyzes instances of a target predicate
consists of marking up parallel aligned layers of annotation with appropriate label sets, as …

Shallow semantic parsing, the automatic identification and labeling of sentential
constituents, has recently received much attention. Our work examines whether semantic …

We describe the SemEval-2010 shared task on “Linking Events and Their Participants in
Discourse”. This task is an extension to the classical semantic role labeling task. While …

A system which represents knowledge is normally referred to as a knowledge based system
(KBS). This article focuses on surveying publications related to knowledge base modelling …

The relation between ontologies and language is currently at the forefront of natural
language processing (NLP). Ontologies, as widely used models in semantic technologies …

This chapter highlights the key challenges of our ongoing project in developing an
information technology solution for emergency response and management in smart cities …

Abstract Prof. Charles J. Fillmore had a lifelong interest in lexical semantics, and this
culminated in the latter part of his life in a major research project, the FrameNet Project at the …

Biomedical domain ontologies could be better put to use for automatic semantic linguistic
processing if we could map them to lexical resources that model the linguistic phenomena …

This book concerns non-linguistic knowledge required to perform computational natural
language understanding (NLU). The main objective of the book is to show that inference …

Due to the high cost of manual annotation, resources with role-semantic annotation exist
only for a small number of languages, notably English. This thesis addresses the resulting …