We introduce doc2dial, a new dataset of goal-oriented dialogues that are grounded in the
associated documents. Inspired by how the authors compose documents for guiding end …

As labeling schemas evolve over time, small differences can render datasets following older
schemas unusable. This prevents researchers from building on top of previous annotation …

This paper introduces Doc2Bot, a novel dataset for building machines that help users seek
information via conversations. This is of particular interest for companies and organizations …

In this paper, we present a tangible outcome of the TextLink network: a joint online database
project displaying and linking existing and newly-created lexicons of discourse connectives …

Starting from the perspective that discourse structure arises from the presence of coherence
relations, we provide a map of linguistic discourse structuring devices (DRDs), and focus on …

The task of shallow discourse parsing in the Penn Discourse Treebank (PDTB) framework
has traditionally been restricted to identifying those relations that are signaled by a …

Abstract We introduce Doc2Dial, an end-to-end framework for generating conversational
data grounded in given documents. It takes the documents as input and generates the …

Motivated with recent advances in inferring users' mental state in social media posts, we
identify and formulate the problem of finding causal indicators behind mental illness in self …

People vary in their ability to make accurate predictions about the future. Prior studies have
shown that some individuals can predict the outcome of future events with consistently better …

This paper describes a rule-based approach and a machine learning approach to
disambiguate the discourse usage of Turkish connectives, which not only has single and …