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UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation.

, , , and . SemEval@NAACL-HLT, page 732-735. The Association for Computer Linguistics, (2016)

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On the role of data in PAC-Bayes., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 604-612. PMLR, (2021)Evaluating visual "common sense" using fine-grained classification and captioning tasks., , , , , and . ICLR (Workshop), OpenReview.net, (2018)Fine-grained Video Classification and Captioning., , , , and . CoRR, (2018)Query-By-Example Keyword Spotting System Using Multi-Head Attention and Soft-triple Loss., , , and . ICASSP, page 6858-6862. IEEE, (2021)QbyE-MLPMixer: Query-by-Example Open-Vocabulary Keyword Spotting using MLPMixer., , , , and . CoRR, (2022)QbyE-MLPMixer: Query-by-Example Open-Vocabulary Keyword Spotting using MLPMixer., , , , and . INTERSPEECH, page 5200-5204. ISCA, (2022)UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation., , , and . SemEval@NAACL-HLT, page 732-735. The Association for Computer Linguistics, (2016)DyConvMixer: Dynamic Convolution Mixer Architecture for Open-Vocabulary Keyword Spotting., , , , and . INTERSPEECH, page 5205-5209. ISCA, (2022)Deep Learning Models For Multiword Expression Identification., , and . *SEM, page 54-64. Association for Computational Linguistics, (2017)A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations., , and . MWE@ACL, The Association for Computer Linguistics, (2016)