201 citations · 1k across the 85 of their papers we have counts for
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Joint Emotion Label Space Modelling for Affect Lexica
Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein
Emotion lexica are commonly used resources to combat data poverty in automatic emotion detection. However, vocabulary coverage issues, differences in construction method and discre…
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
Isabelle Augenstein, Christina Lioma, Dongsheng Wang +4
We contribute the largest publicly available dataset of naturally occurring factual claims for the purpose of automatic claim verification. It is collected from 26 fact checking we…
Mapping (Dis-)Information Flow about the MH17 Plane Crash
Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein
Digital media enables not only fast sharing of information, but also disinformation. One prominent case of an event leading to circulation of disinformation on social media is the…
Retrieval-based Goal-Oriented Dialogue Generation
Ana Valeria Gonzalez, Isabelle Augenstein, Anders Søgaard
Most research on dialogue has focused either on dialogue generation for openended chit chat or on state tracking for goal-directed dialogue. In this work, we explore a hybrid appro…
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
Johannes Bjerva, Katharina Kann, Isabelle Augenstein
Multi-task learning and self-training are two common ways to improve a machine learning model's performance in settings with limited training data. Drawing heavily on ideas from th…
Domain Transfer in Dialogue Systems without Turn-Level Supervision
Joachim Bingel, Victor Petrén Bach Hansen, Ana Valeria Gonzalez +3
Task oriented dialogue systems rely heavily on specialized dialogue state tracking (DST) modules for dynamically predicting user intent throughout the conversation. State-of-the-ar…