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Analysing Word Representation from the Input and Output Embeddings in Neural Network Language Models.

, , and . CoNLL, page 442-454. Association for Computational Linguistics, (2020)

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Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks., , and . LREC/COLING, page 16315-16330. ELRA and ICCL, (2024)STA: Self-controlled Text Augmentation for Improving Text Classifications., , , and . CoRR, (2023)Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge., , , and . CoNLL, page 260-270. Association for Computational Linguistics, (2018)Feature2Vec: Distributional semantic modelling of human property knowledge., , and . EMNLP/IJCNLP (1), page 5852-5858. Association for Computational Linguistics, (2019)SPICED: News Similarity Detection Dataset with Multiple Topics and Complexity Levels., , , , and . LREC/COLING, page 15181-15190. ELRA and ICCL, (2024)Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps from Deep Convolutional Neural Networks., , and . COLING, page 1906-1921. International Committee on Computational Linguistics, (2020)Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language Models., , and . CMLS, page 211-221. Association for Computational Linguistics, (2021)Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model., , , and . BlackboxNLP@EMNLP, page 362-364. Association for Computational Linguistics, (2018)Topics as Entity Clusters: Entity-based Topics from Language Models and Graph Neural Networks., , and . CoRR, (2023)Analysing Word Representation from the Input and Output Embeddings in Neural Network Language Models., , and . CoNLL, page 442-454. Association for Computational Linguistics, (2020)