This paper describes a 3-level manual discourse coding scheme that we have devised for manual tagging of the CallHome Spanish (CHS) and CallFriend Spanish (CFS) databases used in the CLARITY project. The goal of CLARITY is to explore the use of discourse structure in understanding conversational speech. The project combines empirical methods for dialogue processing with state-of-the art LVCSR (...

The paper describes topic shifting in dialogues with a robot that provides information from Wikipedia. The work focuses on a double topical construction of dialogue coherence which refers to discourse coherence on two levels: the evolution of dialogue topics via the interaction between the user and the robot system, and the creation of discourse topics via the content of the Wikipedia article i...

In this paper, we describe an intervention for children with social and communication deficits, such as autism, based on the use of a virtual peer that can engage in tightly collaborative narrative. We present a study in which children with autism engage in collaborative narrative with both a virtual and a human peer, and the use of contingent discourse is compared. Our findings suggest that co...

The centering inference p & q, therefore if p then q is important in reasoning research because it is logically valid for some accounts of conditionals (e. g. the material and the probability conditionals), but not for others (e. g. the inferential conditional, according to which a conditional is true if and only if there is an inferential connection between p and q). We tested participants' ac...

Modeling document structure is of great importance for discourse analysis and related applications. The goal of this research is to capture the document intent structure by modeling documents as a mixture of topic words and rhetorical words. While the topics are relatively unchanged through one document, the rhetorical functions of sentences usually change following certain orders in discourse....

Speech-to-speech translation technology has difficulties processing elements of spontaneity in conversation. We propose a discourse marker attribute in speech corpora to help overcome some of these problems. There have already been some attempts to annotate discourse markers in speech corpora. However, as there is no consistency on what expressions count as discourse markers, we have to reconsi...

This thesis presents new methods that use natural language processing (NLP) driven models for summarizing research in scientific fields. Given a topic query in the form of a text string, we present methods for finding research articles relevant to the topic as well as summarization algorithms that use lexical and discourse information present in the text of these articles to generate coherent a...

Topic segmentation plays an important role for discourse analysis and document understanding. Previous work mainly focus on unsupervised method for topic segmentation. In this paper, we propose to use bidirectional long shortterm memory(BLSTM) model, along with convolutional neural network(CNN) for learning paragraph representation. Besides, we present a novel algorithm based on frequent subseq...

Cue phrases are linguistic expressions such as now and well that function as explicit indicators of the structure of a discourse. For example, now may signal the beginning of a subtopic or a return to a previous topic, while well may mark subsequent material as a response to prior material, or as an explanatory comment. However, while cue phrases may convey discourse structure, each also has on...