Abstract Argumentation represents the study of views and opinions that humans express
with the goal of reaching a conclusion through logical reasoning. Since the 1950's, several …

Transfer learning aims to provide a framework to utilize previously-acquired knowledge to
solve new but similar problems much more quickly and effectively. In contrast to classical …

We propose the first unsupervised approach to the problem of modeling dialogue acts in an
open domain. Trained on a corpus of noisy Twitter conversations, our method discovers …

The spread of malicious or accidental misinformation in social media, especially in time-
sensitive situations such as real-world emergencies can have harmful effects on individuals …

In this work, we present a novel method for classifying comments in online discussions into a
set of coarse discourse acts towards the goal of better understanding discussions at scale …

Identification of speech acts provides essential cues in understanding the pragmatics of a
user utterance. It typically helps in comprehending the communicative intention of a speaker …

Online course discussions contain abundant cognitive information from learners. Previous
models required a large amount of labeled data to classify cognitive engagement from the …

This research studies the text genre of message board forums, which contain a mixture of
expository sentences that present factual information and conversational sentences that …

Instructor intervention in student discussion forums is a vital component in Massive Open
Online Courses (MOOCs), where personalized interaction is limited. This paper introduces …

Online software forums provide a huge amount of valuable content. Developers and users
often ask questions and receive answers from such forums. The availability of a vast amount …