Determining the stance expressed in a post written for a two-sided debate in an online
debate forum is a relatively new and challenging problem in opinion mining. We seek to …

Recent years have seen a surge of interest in stance classification in online debates.
Oftentimes, however, it is important to determine not only the stance expressed by an author …

This paper contributes a formalization of frame-semantic parsing as a structure prediction
problem and describes an implemented parser that transforms an English sentence into a …

Concerned about the Turing test's ability to correctly evaluate if a system exhibits human-like
intelligence, the Winograd Schema Challenge (WSC) has been proposed as an alternative …

Online paedophile activity in social media has become a major concern in society as
Internet access is easily available to a broader younger population. One common form of …

We describe a new approach to disambiguating semantic frames evoked by lexical
predicates previously unseen in a lexicon or annotated data. Our approach makes use of …

We present a supervised system that uses lexical, sentiment, semantic dictionaries and
latent and frame semantic features to identify the stance of a tweeter towards an ideological …

Text mining techniques have been recently employed to classify and summarize user
reviews on mobile application stores. However, due to the inherently diverse and …

This paper describes the SEMAFOR system's performance in the SemEval 2010 task on
linking events and their participants in discourse. Our entry is based upon SEMAFOR 1.0 …

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 …