This paper describes our two discourse parsers (i.e., English discourse parser and Chinese discourse parser) for submission to CoNLL-2016 shared task on Shallow Discourse Parsing. For English discourse parser, we build two separate argument extractors for single sentence (SS) case, and adopt a convolutional neural network for Non-Explicit sense classification based on (Wang and Lan, 2015b)’s wo...

Without discourse connectives, classifying implicit discourse relations is a challenging task and a bottleneck for building a practical discourse parser. Previous research usually makes use of one kind of discourse framework such as PDTB or RST to improve the classification performance on discourse relations. Actually, under different discourse annotation frameworks, there exist multiple corpor...

In times of organizational change leaders often tell stories that justify publicly the directions in which organizations move. Such stories are always political in nature and often reflect the motives of the storyteller. We observe how leaders in high-tech organizations use the story of technological determinism in organizational settings as a discursive practice through which they invoke the “...

adopting a discourse-pragmatic approach, this study examines the synchronic multifunctionality of the discourse marker hâlâ from the perspective of (inter)subjectification. the findings obtained from the synchronic corpus of colloquial persian indicates that hâlâ has proceeded along the (inter)subjectification cline identified by traugott and dasher (2002), der (2010), and degand and vandenberg...

Previous researches on Text-level discourse parsing mainly made use of constituency structure to parse the whole document into one discourse tree. In this paper, we present the limitations of constituency based discourse parsing and first propose to use dependency structure to directly represent the relations between elementary discourse units (EDUs). The state-of-the-art dependency parsing tec...