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Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence.

, , и . CoRR, (2020)

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Silvia Hiechinger

Die Rolle von EBF2 in der haematopoietischen Stammzellnische. Uni München, (2010)

Silvia Budzinski

Silvia Luttat

Silvia Schulz

Silvia Fach

 

Другие публикации лиц с тем же именем

An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures., и . RANLP, стр. 1408-1416. INCOMA Ltd., (2021)OCTIS 2.0: Optimizing and Comparing Topic Models in Italian Is Even Simpler!, и . CLiC-it, том 3033 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence., , и . CoRR, (2020)Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence., , и . ACL/IJCNLP (2), стр. 759-766. Association for Computational Linguistics, (2021)OCTIS: Comparing and Optimizing Topic models is Simple!, , , , и . EACL (System Demonstrations), стр. 263-270. Association for Computational Linguistics, (2021)Cross-lingual Contextualized Topic Models with Zero-shot Learning., , , , и . CoRR, (2020)Cross-lingual Contextualized Topic Models with Zero-shot Learning., , , , и . EACL, стр. 1676-1683. Association for Computational Linguistics, (2021)Word Embedding-Based Topic Similarity Measures., , и . NLDB, том 12801 из Lecture Notes in Computer Science, стр. 33-45. Springer, (2021)Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models., , , и . Insights, стр. 32-40. Association for Computational Linguistics, (2020)Contrastive Language-Image Pre-training for the Italian Language., , , , , и . CLiC-it, том 3596 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)