We propose a method for annotating postto-post discourse structure in online user forum
data, in the hopes of improving troubleshooting-oriented information access. We introduce …

Online discussion forums are a valuable means for users to resolve specific information
needs, both interactively for the participants and statically for users who search/browse over …

Online forums are now one of the primary venues for public dialogue on current social and
political issues. The related corpora are often huge, covering any topic imaginable. Our aim …

We explore the task of automatically classifying dialogue acts in 1-on-1 online chat forums,
an increasingly popular means of providing customer service. In particular, we investigate …

In this paper, we propose an annotation schema for the discourse analysis of Wikipedia Talk
pages aimed at the coordination efforts for article improvement. We apply the annotation …

In this work, we analyze the discussion threads from the forums of 60 Massive Open Online
Courses (MOOCs) offered by Coursera and taught in 4 different languages. The types of …

Recent progress through advanced neural models pushed the performance of task-oriented
dialog systems to almost perfect accuracy on existing benchmark datasets for intent …

We consider the task of classifying chat contributions by dialogue act in a multi-party setting.
This extends the problem significantly over the 1-1 chat scenario due to the …

Analyzing arguments in user-generated Web discourse has recently gained attention in
argumentation mining, an evolving field of NLP. Current approaches, which employ fully …

Social learning analytics are concerned with the process of knowledge construction as
learners build knowledge together in their social and cultural environments. One of the most …