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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...19 Hits 1 – 20 of 379 1 Retrieval-Based Transformer Pseudocode Generation Anas Alokla; Walaa Gad; Waleed Nazih; Mustafa Aref; Abdel-Badeeh Salem In: Mathematics; Volume 10; Issue 4; Pages: 604 (2022) Abstract: The comprehension of source code is very difficult, especially if the programmer is not familiar with the programming language. Pseudocode explains and describes code contents that are based on the semantic analysis and understanding of the source code. In this paper, a novel retrieval-based transformer pseudocode generation model is proposed. The proposed model adopts different retrieval similarity methods and neural machine translation to generate pseudocode. The proposed model handles words of low frequency and words that do not exist in the training dataset. It consists of three steps. First, we retrieve the sentences that are similar to the input sentence using different similarity methods. Second, pass the source code retrieved (input retrieved) to the deep learning model based on the transformer to generate the pseudocode retrieved. Third, the replacement process is performed to obtain the target pseudo code. The proposed model is evaluated using Django and SPoC datasets. The experiments show promising performance results compared to other language models of machine translation. It reaches 61.96 and 50.28 in terms of BLEU performance measures for Django and SPoC, respectively. Keyword: deep learning-based transformer; natural language processing; neural machine translation; pseudocode generation; retrieval-based URL: https://doi.org/10.3390/math10040604 BASE Hide details 2 Representation learning of natural language and its application to language understanding and generation Gong, Hongyu. - 2022 BASE Show details 3 Controlled Generation of Stylized Text Using Semantic and Phonetic Representations Gudmundsson, Egill Ian. - : University of Waterloo, 2022 BASE Show details 4 Disentanglement of Syntactic Components for Text Generation Das, Utsav Tushar. - : University of Waterloo, 2022 BASE Show details 5 Desarrollo de un generador automático de ejercicios gramaticales de euskera Scarinci Zabaleta, Dana. - : Universitat Oberta de Catalunya (UOC), 2022 BASE Show details 6 Natural Language Generation : From Data Creation to Evaluation via Modelling ; Génération en langue naturelle : de la création des données à l'évaluation, en passant par la modélisation Shimorina, Anastasia. - : HAL CCSD, 2021 In: https://hal.univ-lorraine.fr/tel-03254708 ; Computation and Language [cs.CL]. Université de Lorraine, 2021. English. ⟨NNT : 2021LORR0080⟩ (2021) BASE Show details 7 THEaiTRobot 1.0 Rosa, Rudolf; Dušek, Ondřej; Kocmi, Tom. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021. : The Švanda Theatre in Smíchov, 2021. : The Academy of Performing Arts in Prague, Theatre Faculty (DAMU), 2021 BASE Show details 8 Zur Darstellung eines mehrstufigen Prototypbegriffs in der multilingualen automatischen Sprachgenerierung: vom Korpus über word embeddings bis hin zum automatischen Wörterbuch Domínguez Vázquez, María José In: Lexikos; Vol. 31 (2021); 20-50 ; 2224-0039 (2021) BASE Show details 9 Recent Advances in Intelligent Source Code Generation: A Survey on Natural Language Based Studies Chen Yang; Yan Liu; Changqing Yin In: Entropy ; Volume 23 ; Issue 9 (2021) BASE Show details 10 Lyrics and vocal melody generation conditioned on accompaniment ... : Αυτόματη παραγωγή στίχων και φωνητικής μελωδίας βάσει της μουσικής υπόκρουσης με τεχνικές βαθιάς μηχανικής μάθησης ... Melistas, Thomas. - : National Technological University of Athens, 2021 BASE Show details 11 TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Iryna; Reimers, Nils. - : Underline Science Inc., 2021 BASE Show details 12 Truth-Conditional Captions for Time Series Data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Berg-Kirkpatrick, Taylor; Jhamtani, Harsh. - : Underline Science Inc., 2021 BASE Show details 13 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 14 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 15 CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Piyush; Akula, Arjun. - : Underline Science Inc., 2021 BASE Show details 16 IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Sebastian; Bahar, Syafri. - : Underline Science Inc., 2021 BASE Show details 17 Building the Directed Semantic Graph for Coherent Long Text Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wang, Ziao. - : Underline Science Inc., 2021 BASE Show details 18 Graphine: A Dataset for Graph-aware Terminology Definition Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gu, Yiyang; Liu, Zequn. - : Underline Science Inc., 2021 BASE Show details 19 Error-Sensitive Evaluation for Ordinal Target Variables ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, David; Courtland, Maury. - : Underline Science Inc., 2021 BASE Show details 20 Data-to-text Generation by Splicing Together Nearest Neighbors ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Backurs, Arturs; Stratos, Karl. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5...19

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