News

A 1+ year postdoc position on natural language understanding is available in the CopeNLU group, partly funded by a Megagon Labs faculty research award on ‘Subjective Question Answering’. The call will remain open until filled, and the preferred start date is 1 May 2020 or soon afterwards.

4 papers by CopeNLU authors are to be presented at EMNLP 2019 and co-located events, on fact checking and disinformation, as well as on multi-task and multi-lingual learning.

2 papers by CopeNLU authors are accepted to appear at ACL 2019, on discovering probabilistic implications in typological knowledge bases as well as gendered language

3 papers by CopeNLU authors are accepted to appear at NAACL 2019. Topics span from population of typological knowledge bases and weak supervision from disparate lexica to frame detection in online fora.

People

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Associate Professor

Isabelle’s main research interests are natural language understanding and learning with limited training data.

Postdoc

Johannes researches multi-lingual and multi-task learning, with a particular focus on exploiting similarities between languages.

PhD Student

Pepa’s research interests are multilingual fact checking and question answering.

PhD Student

Andreas’ main research areas are representation learning and domain adaptation, with a focus on scientific texts.

PhD Student

Dustin’s research interests include fact checking and knowledge base population, with a focus on scientific texts.

Postdoc

Oscar researches automating the assessment of psychological constructs using representation learning.

Lecturer

This is Ryan. He’s a lecturer at the University of Cambridge and a frequent collaborator of the CopeNLU group.

PhD Student

Yova researches low-resource and cross-lingual learning. She’s a member of the CoAStaL NLP group and co-advised by Isabelle.

PhD Student

Ana’s main research interest is question answering, with a particular focus on the customer support domain. She’s a member of the CoAStaL NLP group and co-advised by Isabelle.

PhD Student

Andrea’s main research interests are multilingual learning, with a particular focus on translation-aware word prediction. He is a PhD student at the University of Southern Denmark and co-advised by Isabelle.

PhD Student

Nils researches low-resource and unsupervised learning. He is based at DFKI Berlin and co-advised by Isabelle.

PhD Student

Ran researches gender bias detection. He is based at the University of Cambridge and co-advised by Isabelle.

PhD Student

Mareike was a member of the CoAStaL NLP group and co-advised by Isabelle, and is now a postdoc in the same group.

PhD Intern

Wei Zhao is a PhD Student at TU Darmstadt, and is visiting CopeNLU in Winter 2019 to work on low-resource natural language generation.

PhD Intern

Farhad is a PhD Student at the University of Oslo, and was visiting CopeNLU in Spring 2019 to work on domain adaptation for information extraction.

Research Intern

Zhong Xuan is a student at Yale-NUS College, Singapore, and was visiting CopeNLU in Summer 2019 to work on relation extraction and knowledge base population.

PhD Intern

Luna is a PhD Student at Ghent University, and was visiting CopeNLU in Spring 2019 to work on emotion detection.

PhD Intern

Giannis is a PhD Student at Ghent University, and was visiting CopeNLU in Spring 2019 to work on joint information extraction.

PhD Intern

Liesbeth is a PhD Student at KU Leuven, and is visiting CopeNLU in Spring 2020 to work on fact checking.

Research Assistant

Now a data scientist at Hypefactors.

Recent Publications

More Publications

A critical component of automatically combating misinformation is the detection of fact check-worthiness, i.e. determining if a piece …

Learning what to share between tasks has been a topic of high importance recently, as strategic sharing of knowledge has been shown to …

In this paper, we extend the task of semantic textual similarity to include sentences which contain emojis. Emojis are ubiquitous on …

While state-of-the-art NLP explainability (XAI) methods focus on supervised, per-instance end or diagnostic probing task evaluation[4, …

Emotion lexica are commonly used resources to combat data poverty in automatic emotion detection. However, methodological issues emerge …

Language evolves over time in many ways relevant to natural language processing tasks. For example, recent occurrences of tokens …

We contribute the largest publicly available dataset of naturally occurring factual claims for the purpose of automatic claim …

Digital media enables not only fast sharing of information, but also disinformation. One prominent case of an event leading to …

Task oriented dialogue systems rely heavily on specialized dialogue state tracking (DST) modules for dynamically predicting user intent …

Task oriented dialogue systems rely heavily on specialized dialogue state tracking (DST) modules for dynamically predicting user intent …

Recent Posts

The University of Copenhagen is a great place if you’re both interested in high-quality NLP research and a high quality of life.

Projects

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Learning with Limited Labelled Data

Learning with limited labelled data, including multi-task learning, weakly supervised and zero-shot learning

Multilingual Learning

Training models to work well for multiple languages, including low-resource ones

Question Answering

Answering questions automatically, including in conversational settings

Stance Detection and Fact Checking

Determine the attitude expressed in a text towards a topic, and use this for automatic evidence-based fact checking

Gender Bias Detection

Automatically detecting gendered language, and to what degree attitudes towards entities are influenced by gender bias

Knowledge Base Population

Extract information about entities, phrases and relations between them from text to populate knowledge bases

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