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2024
Four papers accepted at LREC-COLING 2024!
April 09, 2024
What a great start of the year! We are very excited to announce that we got four paper accepted at LREC-COLING 2024.
“Appraisal Framework for Clinical Empathy: A Novel Application to Breaking Bad News Conversations” Authors: Allison Lahnala, Béla Neuendorf, Alexander Thomin, Charles Welch, Tina Stibane,Lucie Flek
Camera-Ready: Paper
In this paper, we introduce an annotation approach that draws on well-established frameworks for clinical empathy and breaking bad news (BBN) conversations fo…
April 08, 2024
Innovations, Insights, and Inspirations: Our Journey Through 2023
Hi everyone! As we say goodbye to a fantastic year full of new discoveries and fun research, we at the Conversational AI and Social Analytics (CAISA) Lab want to share our 2023 story with you. Think of it like a digital scrapbook, full of our best moments and exciting projects, all ready for you to check out!
Team Member: Allie Lahnala, PhD Student
Personal Statement
This year was full of laying down the grou…
Senior Postdoctoral Researcher (E14 100%)
April 07, 2024
This exciting Full-Time Senior Postdoctoral Researcher (E14 100%) in Natural Language Processing and Machine Learning. You will be part of the Lamarr Institute for Machine Learning and Artificial Intelligence, specifically the international research group Data Science and Language Technologies of Prof. Dr. Lucie Flek, working in close collaboration with the OpenGPT-X initiative and the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), jointly driving research initi…
2022
Unifying Data Perspectivism and Personalization:An Application to Social Norms
October 26, 2022
We are super excited to present our paper “Unifying Data Perspectivism and Personalization:An Application to Social Norms” from Joan Plepi, Béla Neuendorf, Lucie Flek, Charles Welch at EMNLP 2022 main conference.
In this work, we use English textual data in the form of posts from the website, Reddit, about social norms from the subreddit amitheasshole (AITA). As shown in the figure, users of this online community post descriptions of situations, often involving interpersonal conflict, and as…
Temporal Graph Analysis of Misinformation Spreaders in Social Media
October 25, 2022
We are super excited to present our paper “Temporal Graph Analysis of Misinformation Spreaders in Social Media” from Joan Plepi, Flora Sakketou, Henri-Jacques Geiss, Lucie Flek at the workshop TextGraphs-16 COLING 2022.
Proactively identifying misinformation spreaders is an important step towards mitigating the impact of fake news on our society, especially with the events nowdays. The impact of time on fake news prediction has made the task even more challenging, as the content-based diffe…
October 07, 2022
In the last week before the return to schools, 28.08. – 03.09.2022, CAISA Lab has organized the IT Summer School for high school female students that are passionate about mathematics and/or computer science. The classes were designed and held by our female AI researchers*, with the rest of our lab members** contributing to the preparation and organization. The event was generously supported by Hessian.AI.
Participants of the IT Summer School, coming from various corners of Ger…
Interview with Joan Plepi, a PhD candidate in deep learning for NLP
June 14, 2022
Today we interview Joan Plepi, a PhD candidate researcher in our lab, focusing on user personalization techniques and applying them to Natural Language Processing problems on social me…
FACTOID - A New Dataset for Identifying Misinformation Spreaders and Political Bias
May 25, 2022
We are super excited to present our paper “FACTOID: A New Dataset for Identifying Misinformation Spreaders and Political Bias” from Flora Sakketou, Joan Plepi, Riccardo Cervero, Henri-Jacques Geiss…
April 08, 2022
We are very excited to present our all-female-author paper “Investigating User Radicalization - A Novel Dataset for Identifying Fine-Grained Temporal Shifts in Opinion” from Flora Sakketou, Allison…
Interview with Dr. Flora Sakketou, postdoctoral researcher in deep learning for NLP
March 08, 2022
Today we interview Flora Sakketou, a postdoctoral researcher in our lab, focusing on developing deep learning optimization algorithms and applying them to Natural Language Processing p…
2021
WiNLP @EMNLP 2021 Automated Template Paraphrasing for Conversational Assistants
November 18, 2021
We are excitied to present our paper “Automated Template Paraphrasing for Conversational Assistants” from Liane Vogel and Lucie Flek at Widening NLP EMNLP 2021.
In this paper, we explore the usage of automatic paraphrasing models such as GPT-2 and CVAE to augment template phrases for task-oriented dialogue systems while preserving the slots. Additionally, we systematically analyze how far manually annotated training data can be reduced.
We extrinsically evaluate the performance of a natura…
EMNLP 2021 HYPMIX, Hyperbolic Interpolative Data Augmentation
October 04, 2021
We are looking forward to present our paper “HYPMIX: Hyperbolic Interpolative Data Augmentation” from Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek at EMNLP 2021.
In this paper we propose HypMix, a novel model-, data-, and modality-agnostic interpolative data augmentation technique operating in the hyperbolic space, which captures the complex geometry of input and hidden state hierarchies better than its contemporaries.
We devise a novel Möbius Gyromidpoint Lab…
EMNLP 2021 Perceived and Intended Sarcasm Detection with Graph Attention Networks
October 04, 2021
We are looking forward to present our paper, “Perceived and Intended Sarcasm Detection with Graph Attention Networks” from Joan Plepi and Lucie Flek in Findings EMNLP 2021.
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. We use graph attention networks (GAT) over users and tweets in…
May 24, 2021
We are looking forward to present our paper “Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning” from Ramit Sawhney, Harshit Joshi, Rajiv Ratn Shah a…
May 21, 2021
We are delighted that the paper “Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs” from Joan Plepi, Endri Kacupaj, Kuldeep Singh, Harsh…
Two papers with contributions of CAISA Lab members accepted to EACL 2021
January 11, 2021
What a great start of the year! We are delighted that two research full-papers with the contributions of our lab members have been accepted to EACL ‘21, the 16th Conference of the European Chapter …
2020
BMBF funds Lucie Flek to establish an AI research group on Dynamically Social Discourse Analysis
July 02, 2020
Prof. Dr. Lucie Flek receives a grant of over 1 Mil. Euro from the Federal Ministry of Education and Research (BMBF) for establishing an Independent Research Group on her project DynSoDA: Dynamically Social Natural Language Processing for Online Discourse Analysis. The 4-year project is a part of the BMBF support program for young researchers working in the field of Artificial Intelligence.
Lucie Flek points out that one of the challenges of today’s NLP models is that they typically assume o…