A Tale of Three Parsers: Towards Diagnostic Evaluation for Meaning Representation Parsing

no code implementations • LREC 2020 • Maja Buljan, Joakim Nivre, Stephan Oepen, Lilja {\O}vrelid

We discuss methodological choices in contrastive and diagnostic evaluation in meaning representation parsing, i. e. mapping from natural language utterances to graph-based encodings of its semantic structure.

Dependency Parsing

Evaluating Automatic Term Extraction Methods on Individual Documents

no code implementations • WS 2019 • Antonio {\v{S}}ajatovi{\'c}, Maja Buljan, Jan {\v{S}}najder, Bojana Dalbelo Ba{\v{s}}i{\'c}

Automatic Term Extraction (ATE) extracts terminology from domain-specific corpora.

Term Extraction Translation

TakeLab at SemEval-2019 Task 4: Hyperpartisan News Detection

no code implementations • SEMEVAL 2019 • Niko Pali{\'c}, Juraj Vladika, Dominik {\v{C}}ubeli{\'c}, Ivan Lovren{\v{c}}i{\'c}, Maja Buljan, Jan {\v{S}}najder

In this paper, we demonstrate the system built to solve the SemEval-2019 task 4: Hyperpartisan News Detection (Kiesel et al., 2019), the task of automatically determining whether an article is heavily biased towards one side of the political spectrum.

Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions

no code implementations • COLING 2018 • Carlos Ramisch, Silvio Ricardo Cordeiro, Agata Savary, Veronika Vincze, Verginica Barbu Mititelu, Archna Bhatia, Maja Buljan, C, Marie ito, Polona Gantar, Voula Giouli, Tunga G{\"u}ng{\"o}r, Abdelati Hawwari, Uxoa I{\~n}urrieta, Jolanta Kovalevskait{\.e}, Simon Krek, Timm Lichte, Chaya Liebeskind, Johanna Monti, Carla Parra Escart{\'\i}n, Behrang Qasemizadeh, Renata Ramisch, Nathan Schneider, Ivelina Stoyanova, Ashwini Vaidya, Abigail Walsh

Corpora were created for 20 languages, which are also briefly discussed.

Lexical Substitution for Evaluating Compositional Distributional Models

no code implementations • NAACL 2018 • Maja Buljan, Sebastian Pad{\'o}, Jan {\v{S}}najder

LexSub is a more natural task, enables us to evaluate meaning composition at the level of individual words, and provides a common ground to compare CDSMs with dedicated LexSub models.

Natural Language Inference Sentence +2

Combining Linguistic Features for the Detection of Croatian Multiword Expressions

no code implementations • WS 2017 • Maja Buljan, Jan {\v{S}}najder

As multiword expressions (MWEs) exhibit a range of idiosyncrasies, their automatic detection warrants the use of many different features.