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Selma: A Semantic Local Code Search Platform.

, , , , , and . ECIR (5), volume 14612 of Lecture Notes in Computer Science, page 218-222. Springer, (2024)

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Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling!, , , , , and . SemEval@ACL, page 969-977. Association for Computational Linguistics, (2023)Investigating the Usage of Formulae in Mathematical Answer Retrieval., , , and . ECIR (1), volume 14608 of Lecture Notes in Computer Science, page 247-261. Springer, (2024)Transformer-Encoder and Decoder Models for Questions on Math., , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 119-137. CEUR-WS.org, (2022)An ALBERT-based Similarity Measure for Mathematical Answer Retrieval., , and . SIGIR, page 1593-1597. ACM, (2021)To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models., , , , , and . CoRR, (2022)Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation., , , , , , and . SemEval@ACL, page 88-93. Association for Computational Linguistics, (2023)TU_DBS in the ARQMath Lab 2021, CLEF., , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 107-124. CEUR-WS.org, (2021)Transformer-Encoder-Based Mathematical Information Retrieval., , and . CLEF, volume 13390 of Lecture Notes in Computer Science, page 175-189. Springer, (2022)RecipeGM: A Hierarchical Recipe Generation Model., , , and . ICDE Workshops, page 24-29. IEEE, (2021)Comparing and Improving Active Learning Uncertainty Measures for Transformer Models., , , , , , and . ADBIS, volume 13985 of Lecture Notes in Computer Science, page 119-132. Springer, (2023)