Isabelle Augenstein

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Københavns Uni ∙ The University of Sheffield ∙ UCL

Associate Professor at Department of Computer Science, University of Copenhagen - DIKU

A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives

Modern natural language processing (NLP) methods employ self-supervised ...
02/25/2021 ∙ by Nils Rethmeier, et al. ∙ 9 ∙ share

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Disembodied Machine Learning: On the Illusion of Objectivity in NLP

Machine Learning seeks to identify and encode bodies of knowledge within...
01/28/2021 ∙ by Zeerak Waseem, et al. ∙ 20 ∙ share

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Does Typological Blinding Impede Cross-Lingual Sharing?

Bridging the performance gap between high- and low-resource languages ha...
01/28/2021 ∙ by Johannes Bjerva, et al. ∙ 0 ∙ share

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Multi-Sense Language Modelling

The effectiveness of a language model is influenced by its token represe...
12/10/2020 ∙ by Andrea Lekkas, et al. ∙ 0 ∙ share

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Longitudinal Citation Prediction using Temporal Graph Neural Networks

Citation count prediction is the task of predicting the number of citati...
12/10/2020 ∙ by Andreas Nugaard Holm, et al. ∙ 0 ∙ share

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SIGTYP 2020 Shared Task: Prediction of Typological Features

Typological knowledge bases (KBs) such as WALS (Dryer and Haspelmath, 20...
10/16/2020 ∙ by Johannes Bjerva, et al. ∙ 0 ∙ share

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What Can We Do to Improve Peer Review in NLP?

Peer review is our best tool for judging the quality of conference submi...
10/08/2020 ∙ by Anna Rogers, et al. ∙ 8 ∙ share

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Unsupervised Evaluation for Question Answering with Transformers

It is challenging to automatically evaluate the answer of a QA model at ...
10/07/2020 ∙ by Lukas Muttenthaler, et al. ∙ 20 ∙ share

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Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data

For natural language processing (NLP) tasks such as sentiment or topic c...
10/02/2020 ∙ by Nils Rethmeier, et al. ∙ 0 ∙ share

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A Diagnostic Study of Explainability Techniques for Text Classification

Recent developments in machine learning have introduced models that appr...
09/25/2020 ∙ by Pepa Atanasova, et al. ∙ 0 ∙ share

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Generating Label Cohesive and Well-Formed Adversarial Claims

Adversarial attacks reveal important vulnerabilities and flaws of traine...
09/17/2020 ∙ by Pepa Atanasova, et al. ∙ 0 ∙ share

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Transformer Based Multi-Source Domain Adaptation

In practical machine learning settings, the data on which a model must m...
09/16/2020 ∙ by Dustin Wright, et al. ∙ 17 ∙ share

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Multi-Hop Fact Checking of Political Claims

Recently, novel multi-hop models and datasets have been introduced to ac...
09/10/2020 ∙ by Wojciech Ostrowski, et al. ∙ 5 ∙ share

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Time-Aware Evidence Ranking for Fact-Checking

Truth can vary over time. Therefore, fact-checking decisions on claim ve...
09/10/2020 ∙ by Liesbeth Allein, et al. ∙ 4 ∙ share

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Inducing Language-Agnostic Multilingual Representations

Multilingual representations have the potential to make cross-lingual sy...
08/20/2020 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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2kenize: Tying Subword Sequences for Chinese Script Conversion

Simplified Chinese to Traditional Chinese character conversion is a comm...
05/07/2020 ∙ by Pranav A, et al. ∙ 0 ∙ share

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SubjQA: A Dataset for Subjectivity and Review Comprehension

Subjectivity is the expression of internal opinions or beliefs which can...
04/29/2020 ∙ by Johannes Bjerva, et al. ∙ 4 ∙ share

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Generating Fact Checking Explanations

Most existing work on automated fact checking is concerned with predicti...
04/13/2020 ∙ by Pepa Atanasova, et al. ∙ 12 ∙ share

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Zero-Shot Cross-Lingual Transfer with Meta Learning

Learning what to share between tasks has been a topic of high importance...
03/05/2020 ∙ by Farhad Nooralahzadeh, et al. ∙ 1 ∙ share

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Fact Check-Worthiness Detection as Positive Unlabelled Learning

A critical component of automatically combating misinformation is the de...
03/05/2020 ∙ by Dustin Wright, et al. ∙ 0 ∙ share

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TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP

While state-of-the-art NLP explainability (XAI) methods focus on supervi...
12/02/2019 ∙ by Nils Rethmeier, et al. ∙ 20 ∙ share

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Joint Emotion Label Space Modelling for Affect Lexica

Emotion lexica are commonly used resources to combat data poverty in aut...
11/20/2019 ∙ by Luna De Bruyne, et al. ∙ 0 ∙ share

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Mapping (Dis-)Information Flow about the MH17 Plane Crash

Digital media enables not only fast sharing of information, but also dis...
10/03/2019 ∙ by Mareike Hartmann, et al. ∙ 0 ∙ share

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Retrieval-based Goal-Oriented Dialogue Generation

Most research on dialogue has focused either on dialogue generation for ...
09/30/2019 ∙ by Ana Valeria Gonzalez, et al. ∙ 0 ∙ share

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Domain Transfer in Dialogue Systems without Turn-Level Supervision

Task oriented dialogue systems rely heavily on specialized dialogue stat...
09/16/2019 ∙ by Joachim Bingel, et al. ∙ 0 ∙ share

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Back to the Future -- Sequential Alignment of Text Representations

Language evolves over time in many ways relevant to natural language pro...
09/08/2019 ∙ by Johannes Bjerva, et al. ∙ 10 ∙ share

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MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

We contribute the largest publicly available dataset of naturally occurr...
09/07/2019 ∙ by Isabelle Augenstein, et al. ∙ 9 ∙ share

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Transductive Auxiliary Task Self-Training for Neural Multi-Task Models

Multi-task learning and self-training are two common ways to improve a m...
08/16/2019 ∙ by Johannes Bjerva, et al. ∙ 0 ∙ share

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X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension

Although the vast majority of knowledge bases KBs are heavily biased tow...
08/14/2019 ∙ by Mostafa Abdou, et al. ∙ 0 ∙ share

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X-WikiRE: A Large, Multilingual Resource for Relation Extraction asMachine Comprehension

Although the vast majority of knowledge bases KBs are heavily biased tow...
08/14/2019 ∙ by Mostafa Abdou, et al. ∙ 0 ∙ share

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Uncovering Probabilistic Implications in Typological Knowledge Bases

The study of linguistic typology is rooted in the implications we find b...
06/18/2019 ∙ by Johannes Bjerva, et al. ∙ 1 ∙ share

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Unsupervised Discovery of Gendered Language through Latent-Variable Modeling

Studying the ways in which language is gendered has long been an area of...
06/11/2019 ∙ by Alexander Hoyle, et al. ∙ 0 ∙ share

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Issue Framing in Online Discussion Fora

In online discussion fora, speakers often make arguments for or against ...
04/08/2019 ∙ by Mareike Hartmann, et al. ∙ 0 ∙ share

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Combining Sentiment Lexica with a Multi-View Variational Autoencoder

When assigning quantitative labels to a dataset, different methodologies...
04/05/2019 ∙ by Alexander Hoyle, et al. ∙ 0 ∙ share

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A Probabilistic Generative Model of Linguistic Typology

In the Principles and Parameters framework, the structural features of l...
03/26/2019 ∙ by Johannes Bjerva, et al. ∙ 0 ∙ share

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What do Language Representations Really Represent?

A neural language model trained on a text corpus can be used to induce d...
01/09/2019 ∙ by Johannes Bjerva, et al. ∙ 0 ∙ share

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Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

This paper documents the Team Copenhagen system which placed first in th...
09/05/2018 ∙ by Yova Kementchedjhieva, et al. ∙ 0 ∙ share

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Nightmare at test time: How punctuation prevents parsers from generalizing

Punctuation is a strong indicator of syntactic structure, and parsers tr...
08/31/2018 ∙ by Anders Søgaard, et al. ∙ 0 ∙ share

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Parameter sharing between dependency parsers for related languages

Previous work has suggested that parameter sharing between transition-ba...
08/27/2018 ∙ by Miryam de Lhoneux, et al. ∙ 0 ∙ share

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A strong baseline for question relevancy ranking

The best systems at the SemEval-16 and SemEval-17 community question ans...
08/27/2018 ∙ by Ana V. González-Garduño, et al. ∙ 0 ∙ share

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Jack the Reader - A Machine Reading Framework

Many Machine Reading and Natural Language Understanding tasks require re...
06/20/2018 ∙ by Dirk Weissenborn, et al. ∙ 0 ∙ share

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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces

We combine multi-task learning and semi-supervised learning by inducing ...
02/27/2018 ∙ by Isabelle Augenstein, et al. ∙ 0 ∙ share

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From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings

A core part of linguistic typology is the classification of languages ac...
02/23/2018 ∙ by Johannes Bjerva, et al. ∙ 0 ∙ share

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Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers

Rumour stance classification, defined as classifying the stance of speci...
12/06/2017 ∙ by Arkaitz Zubiaga, et al. ∙ 0 ∙ share

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Tracking Typological Traits of Uralic Languages in Distributed Language Representations

Although linguistic typology has a long history, computational approache...
11/15/2017 ∙ by Johannes Bjerva, et al. ∙ 0 ∙ share

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A simple but tough-to-beat baseline for the Fake News Challenge stance detection task

Identifying public misinformation is a complicated and challenging task....
07/11/2017 ∙ by Benjamin Riedel, et al. ∙ 0 ∙ share

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A Supervised Approach to Extractive Summarisation of Scientific Papers

Automatic summarisation is a popular approach to reduce a document to it...
06/13/2017 ∙ by Ed Collins, et al. ∙ 0 ∙ share

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Sluice networks: Learning what to share between loosely related tasks

Multi-task learning is partly motivated by the observation that humans b...
05/23/2017 ∙ by Sebastian Ruder, et al. ∙ 0 ∙ share

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Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM

This paper describes team Turing's submission to SemEval 2017 RumourEval...
04/24/2017 ∙ by Elena Kochkina, et al. ∙ 0 ∙ share

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SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

We describe the SemEval task of extracting keyphrases and relations betw...
04/10/2017 ∙ by Isabelle Augenstein, et al. ∙ 0 ∙ share

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Isabelle Augenstein

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