The effect of transcription skills, text generation, and self-regulation on Icelandic children’s text writing
Sign Up to like & getrecommendations! Published in 2020 at "Reading and Writing"
DOI: 10.1007/s11145-020-10074-w
Abstract: The main purpose of this longitudinal research was to study the effects of transcription skills, text generation skills and self-regulation on Icelandic children’s writing, compare their effects on two different text genres and see if… read more here.
Keywords: skills text; generation; text generation; self regulation ... See more keywords
Narrative context-based data-to-text generation for ambient intelligence
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01176-7
Abstract: In this paper, we propose a language generation model for the world of ambient intelligence (AmI). Various devices in use today are connected to the Internet and are used to provide a considerable amount of… read more here.
Keywords: data text; generation; ambient intelligence; text generation ... See more keywords
Improving semantic coverage of data-to-text generation model using dynamic memory networks
Sign Up to like & getrecommendations! Published in 2023 at "Natural Language Engineering"
DOI: 10.1017/s1351324923000207
Abstract: This paper proposes a sequence-to-sequence model for data-to-text generation, called DM-NLG, to generate a natural language text from structured nonlinguistic input. Specifically, by adding a dynamic memory module to the attention-based sequence-to-sequence model, it can… read more here.
Keywords: dynamic memory; data text; model; text ... See more keywords
Emotional Text Generation Based on Cross-Domain Sentiment Transfer
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DOI: 10.1109/access.2019.2931036
Abstract: Emotional intelligence plays an important role in human intelligence and is a recent research hotspot. With the rapid development of deep learning techniques in recent years, several neural network-based emotional text generation methods have been… read more here.
Keywords: based cross; text; text generation; domain ... See more keywords
Text Generation Service Model Based on Truth-Guided SeqGAN
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DOI: 10.1109/access.2020.2966291
Abstract: The Generative Adversarial Networks (GAN) has been successfully applied to the generation of text content such as poetry and speech, and it is a hot topic in the field of text generation. However, GAN has… read more here.
Keywords: generation service; generation; truth guided; model ... See more keywords
Adversarial Machine Learning in Text Processing: A Literature Survey
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DOI: 10.1109/access.2022.3146405
Abstract: Machine learning algorithms represent the intelligence that controls many information systems and applications around us. As such, they are targeted by attackers to impact their decisions. Text created by machine learning algorithms has many types… read more here.
Keywords: machine; machine learning; adversarial machine; literature ... See more keywords
Controllable Text Generation Using Semantic Control Grammar
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3252017
Abstract: Controllable text generation is the primary technique for controlling specific attributes such as topic, keywords and obtaining augmented data. This work proposes a novel controllable text generation framework to improve the controllability of generation models.… read more here.
Keywords: generation; controllable text; text generation; semantic control ... See more keywords
Handwritten Text Generation via Disentangled Representations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3109541
Abstract: Automatically generating handwritten text images is a challenging task due to the diverse handwriting styles and the irregular writing in natural scenes. In this paper, we propose an effective generative model called HTG-GAN to synthesize… read more here.
Keywords: representation; style representation; text images; handwritten text ... See more keywords
Enhancing Text Generation via Parse Tree Embedding
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4096383
Abstract: Natural language generation (NLG) is a core component of machine translation, dialogue systems, speech recognition, summarization, and so forth. The existing text generation methods tend to be based on recurrent neural language models (NLMs), which… read more here.
Keywords: tree embedding; generation; sentence; parse tree ... See more keywords
Quality Control for Distantly-Supervised Data-to-Text Generation via Meta Learning
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095573
Abstract: Data-to-text generation plays an important role in natural language processing by processing structured data and helping people understand those data by generating user-friendly descriptive text. It can be applied to news generation, financial report generation,… read more here.
Keywords: distantly supervised; data text; generation; supervised data ... See more keywords
A Hybrid Text Generation-Based Query Expansion Method for Open-Domain Question Answering
Sign Up to like & getrecommendations! Published in 2023 at "Future Internet"
DOI: 10.3390/fi15050180
Abstract: In the two-stage open-domain question answering (OpenQA) systems, the retriever identifies a subset of relevant passages, which the reader then uses to extract or generate answers. However, the performance of OpenQA systems is often hindered… read more here.
Keywords: query expansion; open domain; expansion; domain question ... See more keywords