A survey of available corpora for building data-driven dialogue systems
During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
[PDF][PDF] Analyzing argumentative discourse units in online interactions
Argument mining of online interactions is in its infancy. One reason is the lack of annotated
corpora in this genre. To make progress, we need to develop a principled and scalable way …
corpora in this genre. To make progress, we need to develop a principled and scalable way …
[PDF][PDF] I couldn't agree more: The role of conversational structure in agreement and disagreement detection in online discussions
Determining when conversational participants agree or disagree is instrumental for broader
conversational analysis; it is necessary, for example, in deciding when a group has reached …
conversational analysis; it is necessary, for example, in deciding when a group has reached …
Finding good conversations online: The yahoo news annotated comments corpus
This work presents a dataset and annotation scheme for the new task of identifying “good”
conversations that occur online, which we call ERICs: Engaging, Respectful, and/or …
conversations that occur online, which we call ERICs: Engaging, Respectful, and/or …
On the need for thoughtful data collection for multi-party dialogue: A survey of available corpora and collection methods
K Mahajan, S Shaikh - Proceedings of the 22nd annual meeting of …, 2021 - aclanthology.org
We present a comprehensive survey of available corpora for multi-party dialogue. We survey
over 300 publications related to multi-party dialogue and catalogue all available corpora in a …
over 300 publications related to multi-party dialogue and catalogue all available corpora in a …
Few-shot (dis) agreement identification in online discussions with regularized and augmented meta-learning
Online discussions are abundant with opinions towards a common topic, and identifying
(dis) agreement between a pair of comments enables many opinion mining applications …
(dis) agreement between a pair of comments enables many opinion mining applications …
Modeling user arguments, interactions, and attributes for stance prediction in online debate forums
Online debate forums are important social media for people to voice their opinions and
debate with each other. Mining user stances or viewpoints from these forums has been a …
debate with each other. Mining user stances or viewpoints from these forums has been a …
A latent variable model for viewpoint discovery from threaded forum posts
Threaded discussion forums provide an important social media platform. Its rich user
generated content has served as an important source of public feedback. To automatically …
generated content has served as an important source of public feedback. To automatically …
Detecting Rumor veracity with only textual information by double-channel structure
Kyle (1985) proposes two types of rumors: informed rumors which are based on some
private information and uninformed rumors which are not based on any information (ie …
private information and uninformed rumors which are not based on any information (ie …
Detecting influencers in social media discussions
S Rosenthal - XRDS: Crossroads, The ACM Magazine for Students, 2014 - dl.acm.org
Detecting influencers in social media discussions Page 1 XRDS • FALL 2014 • VOL.21 • NO.1
40 feature Im a g e © S h u tte rs to c k / T ija n a M Detecting Influencers in Social Media …
40 feature Im a g e © S h u tte rs to c k / T ija n a M Detecting Influencers in Social Media …