Search Results for author: Joan Plepi

Found 8 papers, 6 papers with code

Temporal Graph Analysis of Misinformation Spreaders in Social Media

no code implementations COLING (TextGraphs) 2022 Flora Sakketou, Joan Plepi, Henri-Jacques Geiss, Lucie Flek

Proactively identifying misinformation spreaders is an important step towards mitigating the impact of fake news on our society.

Misinformation

Corpus Considerations for Annotator Modeling and Scaling

1 code implementation2 Apr 2024 Olufunke O. Sarumi, Béla Neuendorf, Joan Plepi, Lucie Flek, Jörg Schlötterer, Charles Welch

We introduce a composite embedding approach and show distinct differences in which model performs best as a function of the agreement with a given dataset.

Unifying Data Perspectivism and Personalization: An Application to Social Norms

1 code implementation26 Oct 2022 Joan Plepi, Béla Neuendorf, Lucie Flek, Charles Welch

Instead of using a single ground truth for language processing tasks, several recent studies have examined how to represent and predict the labels of the set of annotators.

Understanding Interpersonal Conflict Types and their Impact on Perception Classification

1 code implementation18 Aug 2022 Charles Welch, Joan Plepi, Béla Neuendorf, Lucie Flek

Studies on interpersonal conflict have a long history and contain many suggestions for conflict typology.

Classification

Perceived and Intended Sarcasm Detection with Graph Attention Networks

1 code implementation EMNLP (WNUT) 2021 Joan Plepi, Lucie Flek

In this work, we propose a framework jointly leveraging (1) a user context from their historical tweets together with (2) the social information from a user's conversational neighborhood in an interaction graph, to contextualize the interpretation of the post.

Graph Attention Sarcasm Detection

Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs

1 code implementation13 Mar 2021 Joan Plepi, Endri Kacupaj, Kuldeep Singh, Harsh Thakkar, Jens Lehmann

In this work, we propose a novel framework named CARTON, which performs multi-task semantic parsing for handling the problem of conversational question answering over a large-scale knowledge graph.

Conversational Question Answering Knowledge Graphs +2

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