This study investigates how 3D virtual worlds (3DVWs) support team collaboration. Based on Media Synchronicity Theory, we pose that the shared environment and avatar-based interaction allowed by 3DVWs aid convergence processes in teams working on a decision making task, leading to increased shared understanding between team members. This increases performance of decision making teams. An experi...

In this paper we analyse the problem of generating referring expressions in a multilingnal generation system that produces instructions on how to fill out pension forms. The model we propose is an implementation of the theoretical investigations of Martin and is based on a clear representation of the knowledge sources and choices that contribute to the identification of the most appropriate lin...

In this paper we compare two parse-and-trim style headline generation systems. The Topiary system uses a statistical learning approach to finding topic labels for headlines, while our approach, the LexTrim system, identifies key summary words by analysing the lexical cohesion structure of a text. The performance of these systems is evaluated using the ROUGE evaluation suite on the DUC 2004 news...

What is the role of textual features above the sentence level in advancing the machine translation of literature? This paper examines how referential cohesion is expressed in literary and non-literary texts and how this cohesion affects translation. We first show in a corpus study on English that literary texts use more dense reference chains to express greater referential cohesion than news. W...

In this study, two advanced computational text analysis tools were used to catalogue lexical and cohesive features of deceptive language and language accordance (i.e., agreement/disagreement on topic of conversation) in a corpus of dyadic conversations. The study specifically focused on how the variable of accordance conditions the process of deception in terms of lexical and cohesive features....

This paper presents a detailed survey of word co-occurrence measures used in natural language processing. Word co-occurrence information is vital for accurate computational text treatment, it is important to distinguish words which can combine freely with other words from other words whose preferences to generate phrases are restricted. The latter words together with their typical co-occurring ...

This study investigated the effects of transformational and transactional leadership styles and communication media on team interaction styles and outcomes. Teams communicated through one of the following three ways: (a) face-to-face, (b) desktop videoconference, or (c) text-based chat. Results indicated that transformational and transactional leadership styles did not affect team interaction s...

Multi-party chat is a standard feature of popular online games and is increasingly available in collaborative learning environments, including epistemic games. However, little is known about the linguistic qualities of group conversation, especially regarding modality of communication. This paper addresses the differences between spoken and typed conversations as high school students interacted...