CAISA Lab

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2022

We are hiring!

Jobs Research Associate Postodctoral Researcher

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 work in an interdisciplinary project team (linguistics, NLP, ML) on the analysis of speech data. You will conducting independent research in the area of neural speech recognition and speaker modeling, based on the large speech datasets collected at the German Sprachatlas Research Center. How can we b…


We are hiring!

Jobs Research Associate Postodctoral Researcher

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 work in an interdisciplinary project team (linguistics, NLP, ML) on the analysis of speech data. You will conducting independent research in the area of neural speech recognition and speaker modeling, based on the large speech datasets collected at the German Sprachatlas Research Center. How can we b…


Interview with Joan Plepi, a PhD candidate in deep learning for NLP

Joan Plepi Interview PhD candidate

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 media, or conversational systems. Read on to learn more about his exciting research path, his interests, and life in Marburg.

Could you explain your research to someone outside your field?

I am currently working on user personalization for different NLP tasks mainly in social media, like sarcasm d…


FACTOID - A New Dataset for Identifying Misinformation Spreaders and Political Bias

LREC Fake news spreader detection Fake news and political bias dataset Reddit dataset Fine-grained annotations

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…


LREC 2022 Investigating User Radicalization - A Novel Dataset for Identifying Fine-Grained Temporal Shifts in Opinion

LREC Opinion Dynamics Stance Detection Dataset Sociopolitical Language Dataset with Temporal

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…


We are hiring!

Open Positions Doctoral Researcher Fake News Detection

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

Flora Sakketou Interview Postdoctoral researcher

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

Conversational Assistants Automated Template Paraphrasing

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

EMNLP Data Augmentation Riemannian Hyperbolic

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

EMNLP User Representation Sarcasm Detection Social Graph Graph Attention Network

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…


We are hiring!

Jobs Open Positions

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…


NAACL 2021 Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning

NAACL User Representation Temporal Modeling Social Graph Hyperbolic Learning Suicide Ideation

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…


ESWC2021 Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs

ESWC Conversational Question Answering

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

EACL User Representations Conversational Question Answering

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

DynSoDa Social Media User Representations BMBF

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…

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