Four papers accepted at EMNLP 2017

We have a few papers accepted at the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), one of the top-tier conferences in the field of Natural Language Processing:

  • Kiril Gashteovski, Rainer Gemulla, Luciano del Corro: MinIE: Minimizing Facts in Open Information Extraction
  • Goran Glavaš and Simone Paolo Ponzetto: Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations
  • Stefano Menini, Federico Nanni, Simone Paolo Ponzetto and Sara Tonelli: Topic-Based Agreement and Disagreement in US Electoral Manifestos
  • Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto and Chris Biemann: Unsupervised & Knowledge-Free & Interpretable Word Sense Disambiguation