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An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity.

, , , , and . AAAI, page 7788-7796. AAAI Press, (2022)

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Box-To-Box Transformations for Modeling Joint Hierarchies., , , , and . RepL4NLP@ACL-IJCNLP, page 277-288. Association for Computational Linguistics, (2021)Modeling Label Space Interactions in Multi-label Classification using Box Embeddings., , , , and . ICLR, OpenReview.net, (2022)Modeling Fine-Grained Entity Types with Box Embeddings., , , and . ACL/IJCNLP (1), page 2051-2064. Association for Computational Linguistics, (2021)Smoothing the Geometry of Probabilistic Box Embeddings., , , , and . ICLR, OpenReview.net, (2019)Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings., , , , , , and . ACL (1), page 2263-2276. Association for Computational Linguistics, (2022)A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset., , , , , , , , , and 3 other author(s). QA@ACL, page 60-70. Association for Computational Linguistics, (2018)Every Answer Matters: Evaluating Commonsense with Probabilistic Measures., , , , , , and . ACL (1), page 493-506. Association for Computational Linguistics, (2024)Box Embeddings: An open-source library for representation learning using geometric structures., , , , , , and . EMNLP (Demos), page 203-211. Association for Computational Linguistics, (2021)Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings., , , and . NeurIPS, (2022)Capacity and Bias of Learned Geometric Embeddings for Directed Graphs., , , , , and . NeurIPS, page 16423-16436. (2021)