Search Results for author: Maja Buljan

Found 6 papers, 0 papers with code

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.

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.

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

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