We report on the SUM project which applies automatic summarisation techniques to the legal domain. We pursue a methodology based on Teufel and Moens (2002) where sentences are classified according to their argumentative role. We describe some experiments with judgments of the House of Lords where we have performed automatic linguistic annotation of a small sample set in order to explore correla...

In this article, we examine the effectiveness of bootstrapping supervised machine-learning polarity classifiers with the help of a domain-independent rulebased classifier that relies on a lexical resource, i.e., a polarity lexicon and a set of linguistic rules. The benefit of this method is that though no labeled training data are required, it allows a classifier to capture in-domain knowledge ...

The paper presents a generalization of the Pittsburgh approach to learn fuzzy classification rules from data. The proposed approach allows us to obtain a fuzzy rule-based system with a predefined level of compromise between its accuracy and interpretability (transparency). The application of the proposed technique to design the fuzzy rule-based classifier for the well known benchmark data sets ...

Presented is a hybrid method to generate textual descriptions of video based on actions. The method includes an action classifier and a description generator. The aim for the action classifier is to detect and classify the actions in the video, such that they can be used as verbs for the description generator. The aim of the description generator is (1) to find the actors (objects or persons) i...

This paper addresses the multimodal nature of social dominance and presents multimodal fusion techniques to combine audio and visual nonverbal cues for dominance estimation in small group conversations. We combine the two modalities both at the feature extraction level and at the classifier level via score and rank level fusion. The classification is done by a simple rulebased estimator. We per...

A graphical discrete event simulation library is proposed for system simulation that is based on interacting concurrent processes. This library works with EXTEND (Imagine That Inc), an inexpensive yet capable and easy to use simulation software package, and it is called Operational Evaluation Modeling for Context-Sensitive Systems (OpEMCSS). Context-Sensitive Systems (CSS) is a systems theory, ...

Many learning systems face the problem of temporal credit allocation: the proper reinforcement of activities that do not directly result in need satisfaction or external reward but are nevertheless essential precursors to such outcomes [Wilson]. Therefore, the development of an appropriate credit apportionment scheme for adaptive rulebased systems is considered to be one of the main issues in m...

Many Fuzzy classifiers have been developed to identify the handwritten gestures. Handwritten gestures various from person-to-person and with mood and time .Since these rulebased classifiers which are incremental in nature, a large number of rules are generated for unseen inputs.Thus, the size of the rule base rises exponentially ,further introducing rule overfitting and misclassification error....

This paper addresses the multimodal nature of social dominance and presents multimodal fusion techniques to combine audio and visual nonverbal cues for dominance estimation in small group conversations. We combine the two modalities both at the feature extraction level and at the classifier level via score and rank level fusion. The classification is done by a simple rulebased estimator. We per...

Web is gigantic and being constantly update. Everyday lots of users turn into websites for their information needs. As search queries are dynamic in nature, recent research shows that considering temporal aspects underlying a query can improve the retrieval performance significantly. In this paper, we present our approach to address the Temporal Intent Disambiguation (TID) subtask of the Tempor...