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Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation

Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu
2021 Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies   unpublished
We build a formation-informed dataset and propose a model DeFT, which Decomposes words into formation features, dynamically Fuses different features through a gating mechanism, and generaTes word definitions  ...  In this paper, we tackle the task of Definition Generation (DG) in Chinese, which aims at automatically generating a definition for a word.  ...  Acknowledgments We would like to thank all the anonymous reviewers and annotators for their helpful advice on various aspects of this work, including Fuqian Wu, Ming Liu, Yaqi Yin, Yue Wang, etc.  ... 
doi:10.18653/v1/2021.naacl-main.437 fatcat:75ofuhierzcb5ezhrl753focp4

Message from the general chair

Benjamin C. Lee
2015 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)  
We propose a candidate ranking model for "this-issue" anaphora resolution that explores different "issue"-specific and general abstract-anaphora features. The model is not restricted to nominal  ...  Joint Learning for Coreference Resolution with Markov Logic Resolving "This-issue" Anaphora Varada Kolhatkar and Graeme Hirst Saturday 12:00pm-12:30pm -202 A (ICC) We annotate and resolve a particular  ...  Techniques for decomposing Chinese characters and for comparing the similarity between Chinese characters were employed to recommend lists of Chinese characters for authoring the games.  ... 
doi:10.1109/ispass.2015.7095776 dblp:conf/ispass/Lee15 fatcat:ehbed6nl6barfgs6pzwcvwxria

A Survey on Generative Adversarial Networks: Variants, Applications, and Training [article]

Abdul Jabbar, Xi Li, Bourahla Omar
2020 arXiv   pre-print
Therefore, stable training is a crucial issue in different applications for the success of GAN.  ...  The Generative Models have gained considerable attention in the field of unsupervised learning via a new and practical framework called Generative Adversarial Networks (GAN) due to its outstanding data  ...  LSCGAN generates a new Chinese character font style by fusing the existing Chinese characters font styles.  ... 
arXiv:2006.05132v1 fatcat:gyjezuh5sfdilkp43ydsea5cwa

General sessions (1A-01 – 3E-12)

2016 Genes & Genetic Systems  
We made SAPs fused to link ends of the protein. We also inserted cysteine residues in the linker which is essential for the circularization so that they form a disulfide bond.  ...  This can let us expect that the existence of cooperative mechanism(s) between chromatin regulators and DNA replication, which is a essential process for cell proliferation.  ...  Here, we propose a method to evaluate these effects on the ASE and decomposing these factors.  ... 
doi:10.1266/ggs.91.340 pmid:28904305 fatcat:lfeq345egza4bnl4debcvu3iuq

Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension [article]

Xiaorui Zhou, Senlin Luo, Yunfang Wu
2019 arXiv   pre-print
Although recently proposed neural-based methods like sequence-to-sequence (Seq2Seq) model show great potential in generating creative text, the previous neural methods for distractor generation ignore  ...  In reading comprehension, generating sentence-level distractors is a significant task, which requires a deep understanding of the article and question.  ...  Acknowledgments We thank Wenjie Zhou for his valuable comments and suggestions.  ... 
arXiv:1911.08648v1 fatcat:fv65npf56zfrdoyg4fzhnwsjku

General and physical chemistry

1921 Journal of the Chemical Society Abstracts  
-The Chinese early discovered a number of chemical facts and a knowledge of the chemical character of some natural phenomena.  ...  in the most rapid mixtures, r61e of the temperature of origin, limits of aptitude for the propagation of deflagration and tests of the general formula for the velocity of propagation; and finally a discussion  ... 
doi:10.1039/ca9212005001 fatcat:yhgvp4jezfchfnixc5oyzkteja

Introduction to general biology

1990 ChoiceReviews  
A typical cell. Itsparts. Cytoplasm and the nucleus. The origin of cells.  ...  Definition of reproduction. The germ-cells. Sexual and asexual reproduction. Regeneration. The reproductive system of the earthworm. Its copulation and egg-laying.  ...  and protection for the next generation.  ... 
doi:10.5860/choice.28-0648 fatcat:5iwyc7zglzbrfmlyurw5mqlb3m

Generate and Revise: Reinforcement Learning in Neural Poetry [article]

Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini
2021 arXiv   pre-print
Our model generates poems from scratch and it learns to progressively adjust the generated text in order to match a target criterion.  ...  We evaluate this approach in the case of matching a rhyming scheme, without having any information on which words are responsible of creating rhymes and on how to coherently alter the poem words.  ...  The GAN discriminator is used as a reward signal for a RLbased language generator, and, among a variety of tasks, their framework was applied to Chinese quatrains generation.  ... 
arXiv:2102.04114v1 fatcat:4phqvitlbjadvptlgnjfbtdyiu

Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension

Xiaorui Zhou, Senlin Luo, Yunfang Wu
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Although recently proposed neural-based methods like sequence-to-sequence (Seq2Seq) model show great potential in generating creative text, the previous neural methods for distractor generation ignore  ...  In reading comprehension, generating sentence-level distractors is a significant task, which requires a deep understanding of the article and question.  ...  Acknowledgments We thank Wenjie Zhou for his valuable comments and suggestions.  ... 
doi:10.1609/aaai.v34i05.6522 fatcat:hvsztxaoljfndcouqghz65rvji

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions [article]

Shulei Ji, Jing Luo, Xinyu Yang
2020 arXiv   pre-print
In addition, we summarize the datasets suitable for diverse tasks, discuss the music representations, the evaluation methods as well as the challenges under different levels, and finally point out several  ...  timbre or generates music in audio format directly.  ...  Most previous work [60, 113] decomposes music scores by discretizing time, that is, setting a fixed beat resolution for a beat.  ... 
arXiv:2011.06801v1 fatcat:cixou3d2jzertlcpb7kb5x5ery

Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention [article]

Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo
2021 arXiv   pre-print
Based on the PS-Attention, we develop a general Vision Transformer backbone with a hierarchical architecture, named Pale Transformer, which achieves 83.4%, 84.3%, and 84.9% Top-1 accuracy with the model  ...  For downstream tasks, our Pale Transformer backbone performs better than the recent state-of-the-art CSWin Transformer by a large margin on ADE20K semantic segmentation and COCO object detection & instance  ...  Based on the PS-Attention, we develop a general Vi- Although these methods achieve excellent performance and sion Transformer backbone with a hierarchical  ... 
arXiv:2112.14000v1 fatcat:mhn3mkrdwner7eswgpklwvip6u

Big Data Knowledge Service Framework based on Knowledge Fusion

Fei Wang, Hao Fan, Gang Liu
2016 Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
Then, this paper presents a design of a knowledge fusion process model and analyses its implementation patterns.  ...  This paper firstly analyses the requirements of big data knowledge service and the contents of knowledge fusion, constructs a multi-level architecture of knowledge service based on knowledge fusion.  ...  describe procedures generating the fused objects.  ... 
doi:10.5220/0006036301160123 dblp:conf/ic3k/WangFL16 fatcat:k3smmbvghjejpguo7q3gofddse

Parallel Spatial-Data Conversion Engine: Enabling Fast Sharing of Massive Geospatial Data

Shuai Zhang, Manchun Li, Zhenjie Chen, Tao Huang, Sumin Li, Wenbo Li, Yun Chen
2020 Symmetry  
This engine is designed in an extendable and flexible framework and can customize methods of reading and writing particular spatial data formats.  ...  However, various data formats often result in a geospatial data sharing problem in the geographical information system community.  ...  Author Contributions: All authors contributed equally to the conception of the idea, the design of experiments, the analysis and interpretation of results, and the writing and improvement of the manuscript  ... 
doi:10.3390/sym12040501 fatcat:tapxc6ooazdylg3vh3bx5sfwee

Retrieval and Ranking of Combining Ontology and Content Attributes for Scientific Document

Xinyu Jiang, Bingjie Tian, Xuedong Tian
2022 Entropy  
To solve this problem, a retrieval and ranking model is constructed that synthesizes the information of mathematical expressions with related texts, and the ontology attributes of scientific documents  ...  is 0.9; these results prove the effectiveness of the scientific document retrieval and ranking method.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: The data that support the findings of this study are available upon request.  ... 
doi:10.3390/e24060810 pmid:35741531 fatcat:u42zl7y7tvccrbrqnc75uvufjy

A generic framework for colour texture segmentation

Padmapriya Nammalwar, Ovidiu Ghita, Paul F. Whelan
2010 Sensor Review  
The texture database used for the experiments were collected from VisTex texture image database and Ulead Photo Impact Chinese version 6.0.  ...  Texture in formation was extracted using LBP and contrast.  ...  Appendix E Results -Method-I A P P E N D I X F. R E S U L T S -M E T H O D -I I F .2 R e s u lts u s in g D C T a n d co lo u r fe a tu r e s A P P E N D I X G.  ... 
doi:10.1108/02602281011010817 fatcat:yc6h7u5ounbn5ps62emu3cnjlu
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