Papers

  1. Aarne Talman and Stergios Chatzikyriakidis. 2018. Testing the Generalization Power of Neural Network Models Across NLI Benchmarks. arXiv preprint arXiv:1810.09774 [bibtex, pdf]
  2. Aarne Talman, Anssi Yli-Jyrä and Jörg Tiedemann. 2018. Natural Language Inference with Hierarchical BiLSTM Max Pooling Architecture. arXiv preprint arXiv:1808.08762 [bibtex, pdf, code]

Talks

  1. Neural Network models of NLI fail to capture the general notion of inference, 8 March 2019, CLASP Seminar, University of Gothenburg. [pdf]
  2. State-of-the-Art Natural Language Inference Systems Fail to Capture the Semantics of Inference, 25 October 2018, Research Seminar in Language Technology, University of Helsinki. [pdf]
  3. Natural Language Inference with Hierarchical BiLSTM’s, 28 September 2018, FoTran 2018. [pdf]
  4. Natural Language Inference - Another Triumph for Deep Learning?, 23 November 2017, Research Seminar in Language Technology, University of Helsinki. [pdf]

Copyright © 2019 Aarne Talman  |  Valid xhtml and css