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Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity., , , , and . SemEval@NAACL-HLT, page 602-608. The Association for Computer Linguistics, (2016)Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation., , , and . CoRR, (2020)Multi-modal Embedding Fusion-based Recommender., , , , , , , and . CoRR, (2020)Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems., , and . CoRR, (2018)LAS: Language Agnostic System for Question Answering., , and . SNAMS, page 260-263. IEEE, (2018)The Monad Platform - Temporal Aspects in Behavioral Modeling., , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 3226-3232. IOS Press, (2023)Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations., , , , , , , and . IEEE Access, (2023)T-EMDE: Sketching-based global similarity for cross-modal retrieval., , and . CoRR, (2021)Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations., , , , , , , and . CoRR, (2021)How much should you ask? On the question structure in QA systems., , , and . BlackboxNLP@EMNLP, page 319-321. Association for Computational Linguistics, (2018)