The present paper reports an experimental test of a prototype graphic and textual search interface for a university database on art-resource works. Novice and expert searchers were tested on both interfaces with performance assessed in terms of search speed and accuracy. Verbal protocols and navigation strategies were also examined. Experts performed significantly faster than novices though bot...

This short paper is describing a demonstrator that is complementing the paper “Towards Cross-Media Feature Extraction” in these proceedings. The demo is exemplifying the use of textual resources, out of which semantic information can be extracted, for supporting the semantic annotation and indexing of associated video material in the soccer domain. Entities and events extracted from textual dat...

We describe the participation of the USEMP team in the Retrieving Diverse Social Images Task of MediaEval 2015. Our runs are produced based on a supervised diversification method that jointly optimizes relevance and diversity. All runs are automated and use only resources given by the task organizers. Our best results in terms of the official ranking metric on the one-topic part of the test set...

Knowledge Based authentication is still the most widely used and accepted technique for securing resources from unauthorized access for its simplicity, ease of revocation and legacy deployment which divides to textual and graphical password. Over the last decade several attacks records for stealing user’s identity and confidential information using a single or combination of attacks. In this pa...

The present paper reports an experimental test of a prototype graphic and textual search interface for a university database on art-resource works. Novice and expert searchers were tested on both interfaces with performance assessed in terms of search speed and accuracy. Verbal protocols and navigation strategies were also examined. Experts performed significantly faster than novices though bot...

This paper describes our Recognizing Textual Entailment (RTE) system developed at University of Ballarat, Australia for participation in the Text Analysis Conference RTE 2010 competition. This year, we participated in the Main task and used a machine learning approach for learning textual entailment relationships using parse-free lexical semantic features. For this, we employed FrameNet and Wor...

In this paper, we introduce a new framework for recognizing textual entailment which depends on extraction of the set of publiclyheld beliefs – known as discourse commitments – that can be ascribed to the author of a text or a hypothesis. Once a set of commitments have been extracted from a t-h pair, the task of recognizing textual entailment is reduced to the identification of the commitments ...

In this paper, we first compare several strategies to handle the newly proposed three-way Recognizing Textual Entailment (RTE) task. Then we define a new measurement for a pair of texts, called Textual Relatedness, which is a weaker concept than semantic similarity or paraphrase. We show that an alignment model based on the predicate-argument structures using this measurement can help an RTE sy...

"Users of this or any edition are warned that the textual variants presented by citations from Plato in later literature have not yet been as fully investigated as is desirable". This shortcoming, characterized by Kenneth Dover (Dover, 1980) is still existent and is unlikely to be corrected quickly by traditional research techniques. Textual reuse plays an important role in Classical Studies re...

This paper describes our system entered for the *SEM 2013 shared task on Semantic Textual Similarity (STS). We focus on the core task of predicting the semantic textual similarity of sentence pairs. The current system utilizes machine learning techniques trained on semantic similarity ratings from the *SEM 2012 shared task; it achieved rank 20 out of 90 submissions from 35 different teams. Give...