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Tsetlin Machine Embedding: Representing Words Using Logical Expressions., , , , and . EACL (Findings), page 1512-1522. Association for Computational Linguistics, (2024)Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation., , , and . IJCAI, page 4439-4446. ijcai.org, (2022)Enhancing Attention's Explanation Using Interpretable Tsetlin Machine., and . Algorithms, 15 (5): 143 (2022)A Lite Romanian BERT: ALR-BERT., , and . Comput., 11 (4): 57 (2022)Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause., , , and . CoRR, (2021)Positionless aspect based sentiment analysis using attention mechanism., , , and . Knowl. Based Syst., (2021)Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis., , , and . AAAI, page 14203-14212. AAAI Press, (2021)Interpretability in Word Sense Disambiguation using Tsetlin Machine., , , and . ICAART (2), page 402-409. SCITEPRESS, (2021)Enhancing Interpretable Clauses Semantically using Pretrained Word Representation., , , and . BlackboxNLP@EMNLP, page 265-274. Association for Computational Linguistics, (2021)Cyclostationary Random Number Sequences for the Tsetlin Machine., , , , and . IEA/AIE, volume 13343 of Lecture Notes in Computer Science, page 844-856. Springer, (2022)