Olga Uryupina

TL;DR: The OntoNotes annotation (coreference and other layers) is described and the parameters of the shared task including the format, pre-processing information, evaluation criteria, and presents and discusses the results achieved by the participating systems.

TL;DR: An analysis of the performance of publicly available, state-of-the-art tools on all layers and languages in the OntoNotes v5.0 corpus should set the benchmark for future development of various NLP components in syntax and semantics, and possibly encourage research towards an integrated system that makes use of the various layers jointly to improve overall performance.

TL;DR: This work designed the first model for effectively carrying out opinion mining on YouTube comments that relies on tree kernels to automatically extract and learn features with better generalization power than traditionally used bag-of-word models.

TL;DR: Three datasets extracted from the ARRAU corpus to support the three subtasks of the CRAC 2018 Shared Task–identity anaphora resolution over ARRAu-style markables, bridging references resolution, and discourse deixis are discussed; the evaluation scripts assessing system performance on those datasets are discussed.

TL;DR: All the distinguishing features of the corpus are discussed, so far only partially presented in a number of conference and workshop papers, and the development between the first release of arrau in 2008 and this second one is discussed.