2 papers by CopeNLU authors are accepted to appear at ACL 2019. One paper is on uncovering probabilistic implications in typological knowledge bases, following up from our NAACL 2019 paper on generative linguistic typology; whereas the other one is on unsupervised discovery of gendered language, utilising the multi-view autoencoder introduced in our NAACL 219 paper.
Uncovering Probabilistic Implications in Typological Knowledge Bases. Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein.
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.
A Probabilistic Generative Model of Linguistic Typology. Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein.
Combining Disparate Sentiment Lexica with a Multi-View Variational Autoencoder. Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Ryan Cotterell, Isabelle Augenstein.
Issue Framing in Online Discussion Fora.