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EDBT 2026 Demo / reviewers in the wild / expert

Farzana Rashid

dblp:205/9036 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2018
0000-0002-5519-3175ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 2 first-author

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.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Computational social science and digital humanities · 100%
Artificial intelligence
1 paper
Information extraction and text analysis · 100%

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

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities › social computing
interpersonal relationship analysis		 0.622018
Characterizing Interactions and Relationships between People · EMNLP 2018
Dimensions of Interpersonal Relationships: Corpus and Experiments · EMNLP 2017
Natural language and speech › Information extraction and text analysis
dialogue analysis		 0.312018
Characterizing Interactions and Relationships between People · EMNLP 2018

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

corpus annotation · 0.9
YearPublicationVenuePosition
2018 Characterizing Interactions and Relationships between People
abstract
This paper presents a set of dimensions to characterize the association between two people.We distinguish between interactions (when somebody refers to somebody in a conversation) and relationships (a sequence of interactions).We work with dialogue scripts from the TV show Friends, and do not impose any restrictions on the interactions and relationships.We introduce and analyze a new corpus, and present experimental results showing that the task can be automated.
Farzana Rashid, Eduardo Blanco 0002
 EMNLP1
2017 Dimensions of Interpersonal Relationships: Corpus and Experiments
abstract
This paper presents a corpus and experiments to determine dimensions of interpersonal relationships.We define a set of dimensions heavily inspired by work in social science.We create a corpus by retrieving pairs of people, and then annotating dimensions for their relationships.A corpus analysis shows that dimensions can be annotated reliably.Experimental results show that given a pair of people, values to dimensions can be assigned automatically.
Farzana Rashid, Eduardo Blanco 0002
 EMNLP1