Back up your Stance: Recognizing Arguments in Online Discussions. F Boltuzic, J Snajder ArgMining@ ACL, 49-58, 2014 | 147* | 2014 |
Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity. F Boltuzic, J Snajder ArgMining@ HLT-NAACL, 110-115, 2015 | 44 | 2015 |
Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates F Boltuzic, J Šnajder Proceedings of the 3rd Workshop on Argument Mining, 124-133, 2016 | 33* | 2016 |
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble F Boltuzic, M Karan, D Alagic, J Šnajder Proceedings of SemEval, 464-468, 2016 | 31* | 2016 |
Toward Stance Classification Based on Claim Microstructures F Boltuzic, J Šnajder Proceedings of the 8th Workshop on Computational Approaches to Subjectivity …, 2017 | 6 | 2017 |
Computational approaches to argumentation in natural language text F Boltuzic | 6 | 2013 |
TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors A Brassard, T Kuculo, F Boltužić, J Šnajder 12th International Workshop on Semantic Evaluation (SemEval-2018), 2018 | 3 | 2018 |
Domain Adaptation for Machine Translation Involving a Low-Resource Language: Google AutoML vs. from-scratch NMT Systems M Šoštarić, N Pavlović, F Boltužić | 2 | 2019 |
Structured prediction models for argumentative claim parsing from text F Boltužić, J Šnajder Automatika 61 (3), 361-370, 2020 | | 2020 |