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1
Participatory Design in Digital Language Documentation: A Web Platform Approach
Hall, Patrick J. - : eScholarship, University of California, 2022
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2
Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ...
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3
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations ...
Niu, Changan; Li, Chuanyi; Ng, Vincent. - : arXiv, 2022
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4
Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ...
Weigelt, Sebastian. - : KIT Scientific Publishing, 2022
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5
A Formal Model of Checked C ...
Li, Liyi; Liu, Yiyun; Postol, Deena L.. - : arXiv, 2022
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6
PACSafe: Leveraging ARM Pointer Authentication for Memory Safety in C/C++ ...
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7
Quickstrom: Property Based Acceptance Testing with LTL Specifications ...
O'Connor, Liam; Wickström, Oskar. - : arXiv, 2022
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8
POLYCRUISE: A Cross-Language Dynamic Information Flow Analysis ...
Li, Wen. - : figshare, 2022
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9
POLYCRUISE: A Cross-Language Dynamic Information Flow Analysis ...
Li, Wen. - : figshare, 2022
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10
MSCCD: Grammar Pluggable Clone Detection Based on ANTLR Parser Generation ...
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11
Classification of Natural Language Processing Techniques for Requirements Engineering ...
Abstract: Research in applying natural language processing (NLP) techniques to requirements engineering (RE) tasks spans more than 40 years, from initial efforts carried out in the 1980s to more recent attempts with machine learning (ML) and deep learning (DL) techniques. However, in spite of the progress, our recent survey shows that there is still a lack of systematic understanding and organization of commonly used NLP techniques in RE. We believe one hurdle facing the industry is lack of shared knowledge of NLP techniques and their usage in RE tasks. In this paper, we present our effort to synthesize and organize 57 most frequently used NLP techniques in RE. We classify these NLP techniques in two ways: first, by their NLP tasks in typical pipelines and second, by their linguist analysis levels. We believe these two ways of classification are complementary, contributing to a better understanding of the NLP techniques in RE and such understanding is crucial to the development of better NLP tools for RE. ... : 10 pages, 4 tables, 1 figure ...
Keyword: 68-02; A.1; D.m; I.7.m; Computation and Language cs.CL; FOS Computer and information sciences; Software Engineering cs.SE
URL: https://dx.doi.org/10.48550/arxiv.2204.04282
https://arxiv.org/abs/2204.04282
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12
Conceptual Modeling of Events Based on One-Category Ontology ...
Al-Fedaghi, Sabah. - : arXiv, 2022
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13
Towards Property-Based Tests in Natural Language ...
Gordon, Colin S.. - : arXiv, 2022
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14
Accelerating Code Search with Deep Hashing and Code Classification ...
Gu, Wenchao; Wang, Yanlin; Du, Lun. - : arXiv, 2022
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15
NLPropTest: Parsing English to Property-Based Tests with Categorial Grammars ...
Gordon, Colin S.. - : figshare, 2022
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16
NLPropTest: Parsing English to Property-Based Tests with Categorial Grammars ...
Gordon, Colin S.. - : figshare, 2022
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17
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages ...
Chen, Fuxiang. - : Federated Research Data Repository / dépôt fédéré de données de recherche, 2022
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18
CSRS: Code Search with Relevance Matching and Semantic Matching ...
Cheng, Yi; Kuang, Li. - : arXiv, 2022
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19
Appendix _ A systematic mapping study on the application of design thinking in requirement engineering ...
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20
Appendix _ A systematic mapping study on the application of design thinking in requirement engineering ...
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