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Caitlin Rice

dblp:188/9025 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Question answering and dialogue systems · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Question answering and dialogue systems
multi-party dialogue
0.212016
The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues · EMNLP 2016
Natural language and speech › Question answering and dialogue systems
spoken dialogue
0.212016
The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues · EMNLP 2016

Methods — techniques the papers use, named apart from their topics

acoustic-prosodic analysis · 0.5
YearPublicationVenuePosition
2016 The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues
abstract
When interacting individuals entrain, they begin to speak more like each other.To support research on entrainment in cooperative multi-party dialogues, we have created a corpus where teams of three or four speakers play two rounds of a cooperative board game.We describe the experimental design and technical infrastructure used to collect our corpus, which consists of audio, video, transcriptions, and questionnaire data for 63 teams (47 hours of audio).We illustrate the use of our corpus as a novel resource for studying team entrainment by 1) developing and evaluating teamlevel acoustic-prosodic entrainment measures that extend existing dyad measures, and 2) investigating relationships between team entrainment and participation dominance.
Diane J. Litman, Susannah B. F. Paletz, Zahra Rahimi, Stefani Allegretti, Caitlin Rice
EMNLP5