objectives: stuttering is one of the most prevalent speech and language disorders. symptomology of stuttering has been surveyed from different aspects such as biological, developmental, environmental, emotional, learning and linguistic. previous researches in english-speaking people have suggested that some linguistic features such as word meanings may play a role in the frequency of speech non...

We present the BossaNova scheme for the ImageCLEF 2012 Flickr Photo Annotation Task. BossaNova is a mid-level image representation, recently developed by our team, that enriches the Bag-of-Words representation, by keeping a histogram of distances between the descriptors found in the image and those in the codebook. Our scheme has the advantage of being conceptually simple, non-parametric, and e...

A set of words labelled with their prior emotion is an obvious place to start on the automatic discovery of the emotion of a sentence, but it is clear that context must also be considered. No simple function of the labels on the individual words may capture the overall emotion of the sentence; words are interrelated and they mutually influence their affectrelated interpretation. We present a me...

Finding similar questions in Community Question Answering (CQA) services plays more and more important role in current web and IR applications. The task aims to retrieve historical questions that are similar or relevant to new questions posed by users. However, traditional “bag-of-words” based models would fail to measure the similarity between question sentences, as they usually ignore sequent...

This paper presents our work on textual inference and situates it within the context of the larger goals of machine reading. The textual inference task is to determine if the meaning of one text can be inferred from the meaning of another combined with background knowledge. Most existing work either provides only very limited text understanding by using bag-of-words lexical similarity models or...

This paper describes our participation at the ImageClef 2009 medical annotation task. In this task we have used the bag-of-words approach for image representation. We submitted one run, using support-vector-machines trained on the visual word histograms in multiple scales. In this task our result ranked first, with error score of 852.8.

This paper describes our participation in Genre Tagging Task of MediaEval 2011, which aims to predict the videos’ category label. We use bag-of-words approaches with different features derived from visual content and associated textual information. We perform different experiments in which different constellations in respect of single modalities, classification methods, visual features and thei...