General framework, opportunities and challenges for crowdsourcing techniques: A Comprehensive survey
Crowdsourcing, a distributed human problem-solving paradigm is an active research area
which has attracted significant attention in the fields of computer science, business, and …
which has attracted significant attention in the fields of computer science, business, and …
Humaid: Human-annotated disaster incidents data from twitter with deep learning benchmarks
F Alam, U Qazi, M Imran, F Ofli - … of the International AAAI Conference on …, 2021 - ojs.aaai.org
Social networks are widely used for information consumption and dissemination, especially
during time-critical events such as natural disasters. Despite its significantly large volume …
during time-critical events such as natural disasters. Despite its significantly large volume …
MEDIC: a multi-task learning dataset for disaster image classification
Recent research in disaster informatics demonstrates a practical and important use case of
artificial intelligence to save human lives and suffering during natural disasters based on …
artificial intelligence to save human lives and suffering during natural disasters based on …
Arcovidvac: Analyzing arabic tweets about covid-19 vaccination
The emergence of the COVID-19 pandemic and the first global infodemic have changed our
lives in many different ways. We relied on social media to get the latest information about the …
lives in many different ways. We relied on social media to get the latest information about the …
Modelling cognitive bias in crowdsourcing systems
Crowdsourcing is the process of obtaining input or enlisting the services of a crowd of
people with the aim of finding the best solution to a proposed problem. The method with …
people with the aim of finding the best solution to a proposed problem. The method with …
Transfer of corpus-specific dialogue act annotation to iso standard: Is it worth it?
Spoken conversation corpora often adapt existing Dialogue Act (DA) annotation
specifications, such as DAMSL, DIT++, etc., to task specific needs, yielding incompatible …
specifications, such as DAMSL, DIT++, etc., to task specific needs, yielding incompatible …
Creating a reference data set for the summarization of discussion forum threads
In this paper we address extractive summarization of long threads in online discussion fora.
We present an elaborate user evaluation study to determine human preferences in forum …
We present an elaborate user evaluation study to determine human preferences in forum …
Query-based summarization of discussion threads
In this paper, we address query-based summarization of discussion threads. New users can
profit from the information shared in the forum, Please check if the inserted city and country …
profit from the information shared in the forum, Please check if the inserted city and country …
Cross-language transfer of semantic annotation via targeted crowdsourcing: task design and evaluation
Modern data-driven spoken language systems (SLS) require manual semantic annotation
for training spoken language understanding parsers. Multilingual porting of SLS demands …
for training spoken language understanding parsers. Multilingual porting of SLS demands …
Computational modeling of turn-taking dynamics in spoken conversations
SA Chowdhury - 2017 - eprints-phd.biblio.unitn.it
The study of human interaction dynamics has been at the center for multiple research
disciplines in-cluding computer and social sciences, conversational analysis and …
disciplines in-cluding computer and social sciences, conversational analysis and …