Filip Boltužić


2018

pdf bib
TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors
Ana Brassard | Tin Kuculo | Filip Boltužić | Jan Šnajder
Proceedings of The 12th International Workshop on Semantic Evaluation

This paper describes our system for the SemEval-2018 Task 12: Argument Reasoning Comprehension Task. We utilize skip-thought vectors, sentence-level distributional vectors inspired by the popular word embeddings and the skip-gram model. We encode preprocessed sentences from the dataset into vectors, then perform a binary supervised classification of the warrant that justifies the use of the reason as support for the claim. We explore a few variations of the model, reaching 54.1% accuracy on the test set, which placed us 16th out of 22 teams participating in the task.

2017

pdf bib
Toward Stance Classification Based on Claim Microstructures
Filip Boltužić | Jan Šnajder
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Claims are the building blocks of arguments and the reasons underpinning opinions, thus analyzing claims is important for both argumentation mining and opinion mining. We propose a framework for representing claims as microstructures, which express the beliefs, judgments, and policies about the relations between domain-specific concepts. In a proof-of-concept study, we manually build microstructures for over 800 claims extracted from an online debate. We test the so-obtained microstructures on the task of claim stance classification, achieving considerable improvements over text-based baselines.

2016

pdf bib
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble
Martin Tutek | Ivan Sekulić | Paula Gombar | Ivan Paljak | Filip Čulinović | Filip Boltužić | Mladen Karan | Domagoj Alagić | Jan Šnajder
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

pdf bib
Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates
Filip Boltužić | Jan Šnajder
Proceedings of the Third Workshop on Argument Mining (ArgMining2016)

2015

pdf bib
Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity
Filip Boltužić | Jan Šnajder
Proceedings of the 2nd Workshop on Argumentation Mining

2014

pdf bib
Back up your Stance: Recognizing Arguments in Online Discussions
Filip Boltužić | Jan Šnajder
Proceedings of the First Workshop on Argumentation Mining