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Journal articles

Academic literature on the topic 'Text generator'

Author: Grafiati

Published: 24 April 2022

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Journal articles on the topic "Text generator"

1

Yin, Haiyan, Dingcheng Li, Xu Li, and Ping Li. "Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9466–73. http://dx.doi.org/10.1609/aaai.v34i05.6490.

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Training generative models that can generate high-quality text with sufficient diversity is an important open problem for Natural Language Generation (NLG) community. Recently, generative adversarial models have been applied extensively on text generation tasks, where the adversarially trained generators alleviate the exposure bias experienced by conventional maximum likelihood approaches and result in promising generation quality. However, due to the notorious defect of mode collapse for adversarial training, the adversarially trained generators face a quality-diversity trade-off, i.e., the g

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2

Fu, Zihao, Lidong Bing, and Wai Lam. "Open Domain Event Text Generation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7748–55. http://dx.doi.org/10.1609/aaai.v34i05.6278.

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Text generation tasks aim at generating human-readable text from different kinds of data. Normally, the generated text only contains the information included in the data and its application is thus restricted to some limited scenarios. In this paper, we extend the task to an open domain event text generation scenario with an entity chain as its skeleton. Specifically, given an entity chain containing several related event entities, the model should retrieve from a trustworthy repository (e.g. Wikipedia) the detailed information of these entities and generate a description text based on the ret

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3

Rocco, Noraí R., and Eunice C. P. Rodrigues. "The q-tensor square of finitely generated nilpotent groups, q odd." Journal of Algebra and Its Applications 16, no. 11 (2017): 1750211. http://dx.doi.org/10.1142/s0219498817502115.

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In the present paper, the authors extend to the [Formula: see text]-tensor square [Formula: see text] of a group [Formula: see text], [Formula: see text] an odd positive integer, some structural results due to Blyth, Fumagalli and Morigi concerning the non-abelian tensor square [Formula: see text] ([Formula: see text]). The results are applied to the computation of [Formula: see text] for finitely generated nilpotent groups [Formula: see text], specially for free nilpotent groups of finite rank. We also generalize to all [Formula: see text] results of Bacon regarding an upper bound to the mini

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4

Gao, Shen, Xiuying Chen, Piji Li, et al. "Abstractive Text Summarization by Incorporating Reader Comments." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6399–406. http://dx.doi.org/10.1609/aaai.v33i01.33016399.

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In neural abstractive summarization field, conventional sequence-to-sequence based models often suffer from summarizing the wrong aspect of the document with respect to the main aspect. To tackle this problem, we propose the task of reader-aware abstractive summary generation, which utilizes the reader comments to help the model produce better summary about the main aspect. Unlike traditional abstractive summarization task, reader-aware summarization confronts two main challenges: (1) Comments are informal and noisy; (2) jointly modeling the news document and the reader comments is challenging

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5

Jin, Jie, and LV Zhao. "Low Voltage Low Power Fully Integrated Chaos Generator." Journal of Circuits, Systems and Computers 27, no. 10 (2018): 1850155. http://dx.doi.org/10.1142/s0218126618501554.

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A low voltage low power fully integrated chaos generator is presented in this paper. Comparing with the conventional off-the-shelf electronic components-based chaos generators, the designed circuit is fully integrated, and it achieves lower supply voltage, lower power dissipation and smaller chip area. The proposed fully integrated chaos generator is verified with GlobalFoundries 0.18[Formula: see text][Formula: see text]m CMOS 1P6M RF process using Cadence IC Design Tools. The simulation results demonstrate that the fully integrated chaos generator consumes only 17[Formula: see text]mW from [

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6

Senthil Sivakumar, M., and S. P. Joy Vasantha Rani. "Efficient Design of ADC BIST with an Analog Ramp Signal Generation and Digital Error Estimation." Journal of Circuits, Systems and Computers 28, no. 03 (2019): 1950042. http://dx.doi.org/10.1142/s0218126619500427.

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This paper presents the design of linear ramp generator and digital BIST for an on-chip ADC testing. It replaces the costly and time-consuming traditional mixed signal test methods like DSP-based testing, ATE, etc. The proposed on-chip analog ramp generator uses only a few transistors to generate linear ramp signal. A TIQ comparator based 8-bit flash ADC is taken under test. The output response of the ADC is analyzed in the digital BIST to measure the primary nonidealities affecting the linearity and accuracy of the data conversion. In testing, ADC generates the digital data sequence as a test

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7

Odaka, Shigeru, and Yoshimasa Kurihara. "Consistent simulation of direct-photon production in hadron collisions including associated two-jet production." Modern Physics Letters A 31, no. 16 (2016): 1650099. http://dx.doi.org/10.1142/s0217732316500991.

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We have developed an event generator for direct-photon production in hadron collisions, including associated 2-jet production in the framework of the GR@PPA event generator. The event generator consistently combines [Formula: see text] + 2-jet production processes with the lowest-order [Formula: see text] + jet and photon-radiation (fragmentation) processes from quantum chromodynamics (QCD) 2-jet production using a subtraction method. The generated events can be fed to general-purpose event generators to facilitate the addition of hadronization and decay simulations. Using the obtained event i

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8

Narawita, Chamitha Ramal, and Kaneeka Vidanage. "UML generator – use case and class diagram generation from text requirements." International Journal on Advances in ICT for Emerging Regions (ICTer) 10, no. 1 (2018): 1. http://dx.doi.org/10.4038/icter.v10i1.7182.

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9

Jiao, Ziyun, and Fuji Ren. "WRGAN: Improvement of RelGAN with Wasserstein Loss for Text Generation." Electronics 10, no. 3 (2021): 275. http://dx.doi.org/10.3390/electronics10030275.

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Generative adversarial networks (GANs) were first proposed in 2014, and have been widely used in computer vision, such as for image generation and other tasks. However, the GANs used for text generation have made slow progress. One of the reasons is that the discriminator’s guidance for the generator is too weak, which means that the generator can only get a “true or false” probability in return. Compared with the current loss function, the Wasserstein distance can provide more information to the generator, but RelGAN does not work well with Wasserstein distance in experiments. In this paper,

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10

Hosseini Nejad, Seyed Mohsen. "Contributions of the Cartan generators in potentials between static sources." International Journal of Modern Physics A 36, no. 01 (2021): 2150007. http://dx.doi.org/10.1142/s0217751x2150007x.

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We investigate the contributions of the Cartan generators in the static potentials for various representations in the framework of the domain model of center vortices for SU(3) gauge theory. Using the center domains with the cores corresponding to only one Cartan generator [Formula: see text], already given as a particular proposal, leads to some concavities in the potentials for higher representations. Furthermore, the string tension of the fundamental representation is the same at Casimir scaling and [Formula: see text]-ality regimes. We add the contribution of the other Cartan generator [Fo

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