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, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . CoRR, (2023)

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Martin Newell

Chris Protzel

Chris Fröhlich

Chris Thümmler

Chris Mößinger

 

Другие публикации лиц с тем же именем

Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks., , , и . RecSys, стр. 163-170. ACM, (2015)Enhancing Personalised Recommendations with the Use of Multimodal Information., , и . ISM, стр. 186-190. IEEE, (2021)Semantic and Lexical Token Based Vectors Improve Precision of Recommendations for TV Programmes., , , , и . ISM, стр. 287-290. IEEE, (2023)Lessons Learnt from Linear Text Segmentation: a Fair Comparison of Architectural and Sentence Encoding Strategies for Successful Segmentation., , , и . RANLP, стр. 408-418. INCOMA Ltd., Shoumen, Bulgaria, (2023)Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task., , , и . PeerJ Comput. Sci., (2023)The Semantic Scholar Open Data Platform., , , , , , , , , и 38 other автор(ы). CoRR, (2023)Cosine Similarity of Multimodal Content Vectors for TV Programmes., , , и . CoRR, (2020)Audiovisual, Genre, Neural and Topical Textual Embeddings for TV Programme Content Representation., , , и . ISM, стр. 197-200. IEEE, (2020)Exploring Pre-Trained Neural Audio Representations for Audio Topic Segmentation., , , и . ICME, стр. 1086-1091. IEEE, (2023)When Cohesion Lies in the Embedding Space: Embedding-Based Reference-Free Metrics for Topic Segmentation., , , и . LREC/COLING, стр. 17525-17536. ELRA and ICCL, (2024)