All us We study how firms differ from their competitors using new time-varying measures of product similarity based on text-based analysis of firm 10-K product descriptions. This year-by-year set of product similarity measures allows us to generate a new set of industries in which firms can have their own distinct set of competitors. Our new sets of competitors explain specific discussion of hi...

This paper reports on the QAST track of CLEF aiming to evaluate Question Answering on Speech Transcriptions. Accessing information in spoken documents provides additional challenges to those of text-based QA, needing to address the characteristics of spoken language, as well as errors in the case of automatic transcriptions of spontaneous speech. The framework and results of the pilot QAst eval...

(2010). Students' appraisal of emotional and relational experience whilst collaborating online using text based communication. Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page.

The paper describes a case study devised to create frameworks for effective Computer Mediated Communication within the context of resource-based learning in higher education. It investigates the hypothesis that effective use of online discussion forums can complement face to face learning and teaching by engaging the students in discussion-based collaborative activities. Additionally, it explor...

This paper positions and explores the topic of image-based personality test. Instead of responding to text-based questions, the subjects will be provided a set of “choose-your-favorite-image” visual questions. With the image options of each question belonging to the same concept, the subjects’ personality traits are estimated by observing their preferences of images under several unique concept...

This paper describes OMNIA, a system and interface for searching in multimodal image collections. OMNIA includes a set of tools which allow the user to retrieve assets using different features. The tools are based on extracting different types of asset features, which are content, aesthetic, and emotion. Visual-based features are used to retrieve assets using each of these tools. In addition, t...

This paper presents a conceptual study of collaborative discourse in computer conferencing for adult education. The purpose of the study is to examine the dynamics of text based asynchronous discussion, the role of online leadership, and the relationship between them. Based on the syntheses of existing literature on collaborative inquiry in computer conferencing and the roles of online teachers...

This paper reports on experiments with a newly available sentiment classification test collection for Chinese. Detection of negation during training and classification is shown to improve the accuracy of character-based classification for the semantic orientation of individual Chinese words. Using the resulting classifier for unknown words resulted in substantial improvements in classification ...

This talk addresses the current needs for so-called emotion in speech, but points out that the issue is better described as the expression of relationships and attitudes rather than the currently held raw (or big-six) emotional states. From an analysis of more than three years of daily conversational speech, we find the direct expression of emotion to be extremely rare, and contend that when sp...

E-Learning, much like any other communication processes, has been signi cantly shaped by technological evolution. In its original form, e-Learning aimed to bring the education closer to people, making it more modular and personalized. However, in reality, we observe that it represents a separation between student and teacher, simplifying this relationship to the exchange of "text-based messages...