We present a holistic data-driven approach to image description generation, exploiting the vast amount of (noisy) parallel image data and associated natural language descriptions ...
Polina Kuznetsova, Vicente Ordonez, Alexander C. B...
In this paper, we propose an automatic method for detecting discourse structure using a variety of clues existing in the surface information of sentences. We have considered three...
This paper presents a comtmtational model of incremental utterance production in task-oriented dialogues. This model incrementally produces utterantes to propose the solution of a...
An assumption shared by many theories of discourse is that discourse structure constrains anaphora resolution (cf. [Grosz and Sidner 1986] for definite NPs, [Lascarides and Asher ...
This paper reports on corpus-based research into the relationship between intonational variation and discourse structure. We examine the effects of speaking style (read versus spo...
We compare the potential of two classes of linear and hierarchical models of discourse to determine co-reference links and resolve anaphors. The comparison uses a corpus of thirty...
Dan Cristea, Nancy Ide, Daniel Marcu, Valentin Tab...
We empirically show that there are significant differences between the discourse structure of Japanese texts and the discourse structure of their corresponding English translation...
In this paper we study the utility of discourse structure for spoken dialogue performance modeling. We experiment with various ways of exploiting the discourse structure: in isola...
Detection of discourse structure is crucial in many text-based applications. This paper presents an original framework for describing textual parallelism which allows us to genera...
Reasoning about how much to generate when space is limited is a challenge for generation systems. This paper presents two algorithms that exploit the discourse structure to decide...