Search Results for author: Zoran Medi{\'c}

Found 3 papers, 0 papers with code

Does Free Word Order Hurt? Assessing the Practical Lexical Function Model for Croatian

no code implementations SEMEVAL 2017 Zoran Medi{\'c}, Jan {\v{S}}najder, Sebastian Pad{\'o}

The Practical Lexical Function (PLF) model is a model of computational distributional semantics that attempts to strike a balance between expressivity and learnability in predicting phrase meaning and shows competitive results.

Semantic Textual Similarity

TakeLab at SemEval-2017 Task 4: Recent Deaths and the Power of Nostalgia in Sentiment Analysis in Twitter

no code implementations SEMEVAL 2017 David Lozi{\'c}, Doria {\v{S}}ari{\'c}, Ivan Toki{\'c}, Zoran Medi{\'c}, Jan {\v{S}}najder

This paper describes the system we submitted to SemEval-2017 Task 4 (Sentiment Analysis in Twitter), specifically subtasks A, B, and D. Our main focus was topic-based message polarity classification on a two-point scale (subtask B).

Sentiment Analysis Word Embeddings

Debunking Sentiment Lexicons: A Case of Domain-Specific Sentiment Classification for Croatian

no code implementations WS 2017 Paula Gombar, Zoran Medi{\'c}, Domagoj Alagi{\'c}, Jan {\v{S}}najder

We experiment with the graph-based acquisition of sentiment lexicons, analyze their quality, and investigate how effectively they can be used in sentiment classification.

Classification General Classification +4

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