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Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ...
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Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ...
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Similarity between person roles in a card sorting experiment ...
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SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations ...
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Abstract:
Recent years have seen the successful application of large pre-trained models to code representation learning, resulting in substantial improvements on many code-related downstream tasks. But there are issues surrounding their application to SE tasks. First, the majority of the pre-trained models focus on pre-training only the encoder of the Transformer. For generation tasks that are addressed using models with the encoder-decoder architecture, however, there is no reason why the decoder should be left out during pre-training. Second, many existing pre-trained models, including state-of-the-art models such as T5-learning, simply reuse the pre-training tasks designed for natural languages. Moreover, to learn the natural language description of source code needed eventually for code-related tasks such as code summarization, existing pre-training tasks require a bilingual corpus composed of source code and the associated natural language description, which severely limits the amount of data for pre-training. To ... : Accepted by ICSE 2022, not the final version ...
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Keyword:
FOS Computer and information sciences; Software Engineering cs.SE
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URL: https://arxiv.org/abs/2201.01549 https://dx.doi.org/10.48550/arxiv.2201.01549
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Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate ...
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Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation ...
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Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean ...
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A comparative study of several parameterizations for speaker recognition ...
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A Neural Pairwise Ranking Model for Readability Assessment ...
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A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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Speaker verification in mismatch training and testing conditions ...
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Universal Conditional Masked Language Pre-training for Neural Machine Translation ...
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SMDT: Selective Memory-Augmented Neural Document Translation ...
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Learning How to Translate North Korean through South Korean ...
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When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? ...
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Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ...
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