| 1 | -- | 4 | Preslav Nakov, Torsten Zesch. Computational semantic analysis of language: SemEval-2014 and beyond |
| 5 | -- | 33 | David Jurgens, Mohammad Taher Pilehvar, Roberto Navigli. Cross level semantic similarity: an evaluation framework for universal measures of similarity |
| 35 | -- | 65 | Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu. Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts |
| 67 | -- | 93 | Myroslava O. Dzikovska, Rodney D. Nielsen, Claudia Leacock. The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications |
| 95 | -- | 124 | Luisa Bentivogli, Raffaella Bernardi, Marco Marelli, Stefano Menini, Marco Baroni, Roberto Zamparelli. SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment |
| 125 | -- | 161 | Abhay Kashyap, Lushan Han, Roberto Yus, Jennifer Sleeman, Taneeya Satyapanich, Sunil Gandhi, Tim Finin. Robust semantic text similarity using LSA, machine learning, and linguistic resources |