The paper presents a preliminary study on discourse connectives (DC) in Czech. Aiming to build a computerized language corpus capturing discourse relations in Czech, we base our observations on current foreign projects with the same purpose. In this study, first, the different methods of linguistic analysis of the discourse structure and discourse connectives are described, next, the nature and...

We have developed a discourse level tagging tool for spoken dialogue corpus using machine learning methods. As discourse level information, we focused on dialogue act, relevance and discourse segment. In dialogue act tagging, we have implemented a transformation-based learning procedure and resulted in 70% accuracy in open test. In relevance and discourse segment tagging, we have implemented a ...

s of invited position papers Remarks on some not so closed issues concerning discourse connectives Aravind Joshi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 Penn Discourse Treebank Relations and their Potential for Language Generation Kathleen McKeown . . . . . . . . . . . . . . . . . . . . . . . . ...

In any well-written mathematical discourse a certain amount of mathematical and meta-mathematical knowledge is presupposed and implied. We give an account on presuppositions and implicatures in mathematical discourse and describe an architecture that allows to effectively interpret them. Our approach heavily relies on proof methods that capture common patterns of argumentation in mathematical d...

We have explored the usefulness of incorporating speech and discourse features in an automatic speech summarization system applied to meeting recordings from the ICSI Meetings corpus. By analyzing speaker activity, turn-taking and discourse cues, we hypothesize that such a system can outperform solely text-based methods inherited from the field of text summarization. The summarization methods a...

Many discourse relations are explicitly marked with discourse connectives, and these examples could potentially serve as a plentiful source of training data for recognizing implicit discourse relations. However, there are important linguistic differences between explicit and implicit discourse relations, which limit the accuracy of such an approach. We account for these differences by applying ...