Denis Paperno
- The LAMBADA dataset: Word prediction requiring a broad discourse context
2016/06/20 by Denis Paperno, Paperno, Denis, Germán Kruszewski +15 · 1 voice · 190 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- How to Dissect a Muppet: The Structure of Transformer Embedding Spaces
2022/06/07 by Timothee Mickus, Denis Paperno, Mickus, Timothee +3 · 5 citations
Computer Science · #Topic Modeling #Computational Physics and Python Applications
- Leverage Points in Modality Shifts: Comparing Language-only and Multimodal Word Representations
2023/06/04 by А. М. Тихонов, Tikhonov, Aleksey, Lisa Bylinina +3 · 2 citations
Computer Science · Neuroscience · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Neurobiology of Language and Bilingualism
- Generating image captions with external encyclopedic knowledge
2022/10/10 by Sofia Nikiforova, Nikiforova, Sofia, Tejaswini Deoskar +5 · 1 citation
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Video Analysis and Summarization
- RUSSE: The First Workshop on Russian Semantic Similarity
2018/03/15 by Alexander Panchenko, Panchenko, Alexander, Natalia Loukachevitch +9 · 2 citations
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- There Is No Logical Negation Here, But There Are Alternatives: Modeling Conversational Negation with Distributional Semantics
2016/09/28 by Germán Kruszewski, Denis Paperno, Raffaella Bernardi +1 · 1 citation
Arts and Humanities · Computer Science · #Natural Language Processing Techniques #Syntax, Semantics, Linguistic Variation #Topic Modeling