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2023
August 23, 2023
This exciting opportunity is a chance to work on robustness, safety and explainability in machine learning, applied to modern LLMs. 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 and Dr. Charles Welch, working in close collaboration with the OpenGPT-X initiative and the Fraunhofer Institute for Intelligent Analysis and Information Systems (IA…
Full-Time Postdoctoral Researcher NLP/ML
July 31, 2023
The international research group Data Science and Language Technologies at the University of Bonn, of Prof. Dr. Flek, is currently accepting applications for a Research Associate (Postdoc).
The position is offered for a period of 2 years, if no former times of qualification must be considered. The starting date is foreseen to be from October 1, 2023. The deadline for submitting the applications is August 13th, 2023.
The position is part of the BMBF project “AI Safety”. As the position holde…
2022
December 23, 2022
The Department of Mathematics and Informatics, Language Technologies research group of Prof. Dr. Flek, is currently accepting applications for a Research Associate (Postdoc).
The position is offered for a period of 2 years, if no former times of qualification must be considered. The starting date is as soon aspossible date. The position is full-time with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13, 100 %).
The position is part of th…
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…
September 26, 2022
We are hiring an ASR postdoc for 3 years!
The position is part of the BMBF project “AnDy - Automatic Analysis of the Dynamics of Dialectal Speech with Artificial Intelligence Methods”. You will wo…
August 25, 2022
We are hiring an ASR postdoc for 3 years!
The position is part of the BMBF project “AnDy - Automatic Analysis of the Dynamics of Dialectal Speech with Artificial Intelligence Methods”. You will wo…
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…
March 10, 2022
The Department of Mathematics and Informatics, Language Technologies research group of Prof. Dr. Flek, is currently accepting applications for a Research Assistant (m/f/o) (Doctoral Researcher – m/…
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…
October 04, 2021
The Department of Mathematics and Informatics, Language Technologies research group of Prof. Dr. Flek, is currently accepting applications for a Research Associate (Postdoc). More details about the…
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…