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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...13 Hits 1 – 20 of 242 1 PROTECT: A Pipeline for Propaganda Detection and Classification Vorakitphan, Vorakit; Cabrio, Elena; Villata, Serena In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022) BASE Show details 2 Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues Yvon, François In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022) BASE Show details 3 Multi language Email Classification Using Transfer learning Sousa, Mário Jorge Carvalho de. - 2022 BASE Show details 4 CorpusExplorer ; Eine Software zur korpuspragmatischen Analyse Rüdiger, Jan Oliver. - 2022 BASE Show details 5 DEBACER: a method for slicing moderated debates Palmeira Ferraz, Thomas; Alcoforado, Alexandre; Bustos, Enzo... In: Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional ; https://hal.telecom-paris.fr/hal-03527450 ; Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional, Nov 2021, São Paulo, Brazil. pp.667-678, ⟨10.5753/eniac.2021.18293⟩ (2021) BASE Show details 6 Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms Benamar, Alexandra; Bothua, Meryl; Grouin, Cyril... In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021) BASE Show details 7 Impact of textual data augmentation on linguistic pattern extraction to improve the idiomaticity of extractive summaries LAIFA, Abdelghani; Gautier, Laurent; Cruz, Christophe In: Lecture Notes in Computer Science ; https://hal.archives-ouvertes.fr/hal-03271380 ; Matteo Golfarelli; Robert Wrembel. Lecture Notes in Computer Science, Springer, In press, Lecture Notes in Computer Science (2021) BASE Show details 8 About Neural Networks and Writing Definitions Mickus, Timothee; Constant, Mathieu; Paperno, Denis In: ISSN: 2160-5076 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America ; https://hal.archives-ouvertes.fr/hal-03547452 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America, 2021, 42 (2), ⟨10.1353/dic.2021.0022⟩ (2021) BASE Show details 9 CorpusExplorer ... : Eine Software zur korpuspragmatischen Analyse ... Rüdiger, Jan Oliver. - : Universität Kassel, 2021 BASE Show details 10 Multilingual Email Zoning - Segmenting Multilingual Email Text Into Zones Jardim, João Bruno Morais de Sousa. - 2021 BASE Show details 11 Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Markus; Liu, Can. - : Underline Science Inc., 2021 BASE Show details 12 Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zou, Yicheng. - : Underline Science Inc., 2021 BASE Show details 13 HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; He, Lifang; LIU, YE. - : Underline Science Inc., 2021 BASE Show details 14 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cao, Shuyang; Wang, Lu. - : Underline Science Inc., 2021 BASE Show details 15 Automatic Text Evaluation through the Lens of Wasserstein Barycenters ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Clavel, Chloe; Colombo, Pierre. - : Underline Science Inc., 2021 BASE Show details 16 Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bernardi, Raffaella; Testoni, Alberto. - : Underline Science Inc., 2021 BASE Show details 17 Text and Data Mining: A First View ... Woitas, Kathi. - : Zenodo, 2021 BASE Show details 18 Text and Data Mining: A First View ... Woitas, Kathi. - : Zenodo, 2021 BASE Show details 19 Weakly supervised discourse segmentation for multiparty oral conversations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ferrané, Isabelle; Gravellier, Lila. - : Underline Science Inc., 2021 BASE Show details 20 Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dai, Wenliang; Fung, Pascale; Liu, Zihan; yu, volunteerTiezheng. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.326/ Abstract: Multimodal abstractive summarization (MAS) aims to take advantage of data from multiple modalities and provides a short, concise and readable textual summary to let users quickly acquire their essential information. Recently, large-scale generative pre-trained language models (GPLMs) have shown remarkable performance on abstractive text summarization. However, leveraging and adapting GPLMs to MAS is still an unexplored research direction. Our contributions in this work are threefold: 1. To the best of our knowledge, we are the first to inject visual information into text-only GPLMs, and to use it for the MAS task. 2. We systematically study two research questions: 1) how to inject visual information into GPLMs without hurting their generation ability; and 2) where is the optimal place in GPLMs to inject the visual information? 3. Our model significantly outperforms the state-of-the-art model on the How2 dataset, and the injected ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization URL: https://underline.io/lecture/37583-vision-guided-generative-pre-trained-language-models-for-multimodal-abstractive-summarization https://dx.doi.org/10.48448/m679-m796 BASE Hide details Page: 1 2 3 4 5...13

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