90 citations · 111 across the 7 of their papers we have counts for
7 papers
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…
Issue Framing in Online Discussion Fora
Mareike Hartmann, Tallulah Jansen, Isabelle Augenstein +1
In online discussion fora, speakers often make arguments for or against something, say birth control, by highlighting certain aspects of the topic. In social science, this is refer…
Combining Sentiment Lexica with a Multi-View Variational Autoencoder
Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach +2
When assigning quantitative labels to a dataset, different methodologies may rely on different scales. In particular, when assigning polarities to words in a sentiment lexicon, ann…
A Probabilistic Generative Model of Linguistic Typology
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell +1
In the principles-and-parameters framework, the structural features of languages depend on parameters that may be toggled on or off, with a single parameter often dictating the sta…
What do Language Representations Really Represent?
Johannes Bjerva, Robert Östling, Maria Han Veiga +2
A neural language model trained on a text corpus can be used to induce distributed representations of words, such that similar words end up with similar representations. If the cor…
Generalisation in Named Entity Recognition: A Quantitative Analysis
Isabelle Augenstein, Leon Derczynski, Kalina Bontcheva
Named Entity Recognition (NER) is a key NLP task, which is all the more challenging on Web and user-generated content with their diverse and continuously changing language. This pa…