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Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
[article]
2018
arXiv
pre-print
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This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. ...
This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of relatively ...
Acknowledgements We thank the four reviewers for their detailed and constructive comments. ...
arXiv:1703.09902v4
fatcat:owx2fgo2bjej3b27ve2f3ledoe
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
2018
The Journal of Artificial Intelligence Research
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This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. ...
This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of recent research ...
Acknowledgments We thank the four reviewers for their detailed and constructive comments. ...
doi:10.1613/jair.5477
fatcat:ycuteghjzncn7nx6pzkhzd6mn4
BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer
[article]
2021
arXiv
pre-print
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Extrinsic evaluation of the output generated by BACON shows that participants were unable to tell the difference between human and AI-generated poems in any statistically significant way. ...
It combines concepts and techniques from finite state machinery, probabilistic models, artificial neural networks and deep learning, to write original poetry with rich aesthetic-qualities in the style ...
and the WFST used in the APG module. ...
arXiv:2112.11483v1
fatcat:d3veffh2dffw5c5uida4jfhqtu
Pretrained Language Models for Text Generation: A Survey
[article]
2022
arXiv
pre-print
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This comprehensive survey is intended to help researchers interested in text generation problems to learn the core concepts, the main techniques and the latest developments in this area based on PLMs. ...
Text generation based on PLMs is viewed as a promising approach in both academia and industry. In this paper, we provide a survey on the utilization of PLMs in text generation. ...
In conclusion, text generation based on PLMs has greatly contributed to the advance of the state of the art in this field. ...
arXiv:2201.05273v4
fatcat:pnffabspsnbhvo44gbaorhxc3a
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey
[article]
2021
arXiv
pre-print
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Neural text generation metamorphosed into several critical natural language applications ranging from text completion to free form narrative generation. ...
Specifically, this paper surveys the fundamental components of modeling approaches relaying task agnostic impacts across various generation tasks such as storytelling, summarization, translation etc., ...
Albert Gatt and Emiel Krahmer. 2018. Survey of the state of the art in natural language generation: Core tasks, applications and evaluation. J. Artif. Intell. Res., 61:65-170. ...
arXiv:2010.07279v2
fatcat:jp76n5vk7zbvnhfexhwa3rludu
Smart Contract Generation Assisted by AI-Based Word Segmentation
2022
Applied Sciences
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In the robustness evaluation, SpIn achieves state-of-the-art F1 scores and Recall of Out-of-Vocabulary (R_OOV) words on multiple word segmentation tasks. ...
SpIn serves as the core component in AIASCG that accurately recommends the intermediate MNL outputs from a natural language sentence, tremendously reducing the manual effort in contract generation. ...
Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app12094773
fatcat:binsuxkssnazdhmbzbdtgkbo6m
Investigating Pretrained Language Models for Graph-to-Text Generation
[article]
2021
arXiv
pre-print
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In this paper, we investigate two recently proposed pretrained language models (PLMs) and analyze the impact of different task-adaptive pretraining strategies for PLMs in graph-to-text generation. ...
We show that the PLMs BART and T5 achieve new state-of-the-art results and that task-adaptive pretraining strategies improve their performance even further. ...
Ribeiro is supported by the German Research Foundation (DFG) as part of the Research Training Group "Adaptive Preparation of Information form Heterogeneous Sources" (AIPHES, GRK 1994/1) and as part of ...
arXiv:2007.08426v3
fatcat:zwirbzu5gnatth5qzxeyodmlyu
Message from the general chair
2015
2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
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To inject knowledge, we use a state-of-the-art system which cross-links (or "grounds") expressions in free text to Wikipedia. ...
We explore ways of using the resulting grounding to boost the performance of a state-of-the-art co-reference resolution system. ...
in natural language generation. ...
doi:10.1109/ispass.2015.7095776
dblp:conf/ispass/Lee15
fatcat:ehbed6nl6barfgs6pzwcvwxria
Societal Biases in Language Generation: Progress and Challenges
[article]
2021
arXiv
pre-print
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Technology for language generation has advanced rapidly, spurred by advancements in pre-training large models on massive amounts of data and the need for intelligent agents to communicate in a natural ...
Language generation presents unique challenges for biases in terms of direct user interaction and the structure of decoding techniques. ...
Acknowledgments We would like to thank Seraphina Goldfarb-Tarrant, Sunipa Dev, Jason Teoh, members of the Plus Lab, and our anonymous reviewers for the many helpful suggestions that went into this paper ...
arXiv:2105.04054v3
fatcat:dhwma4hvfbf7jke3lt227qb73i
Few-Shot Table-to-Text Generation with Prototype Memory
[article]
2021
arXiv
pre-print
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However, due to the data-hungry nature of neural models, their performances strongly rely on large-scale training examples, limiting their applicability in real-world applications. ...
Experimental results on three benchmark datasets with three state-of-the-art models demonstrate that the proposed framework significantly improves the model performance across various evaluation metrics ...
Acknowledgments The authors wish to thank our anonymous reviewers for their insightful suggestions and comments. ...
arXiv:2108.12516v2
fatcat:xadgdq6xyfgajc23q26rtlkx44
Dynamic deadlock verification for general barrier synchronisation
2015
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming - PPoPP 2015
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We prove that finding a deadlock in either representation is equivalent, and that the verification algorithm is sound and complete with respect to the notion of deadlock in our core language. ...
Our tool verifies more barrier synchronisation patterns than current state-of-the-art. ...
The work is partially supported by EPSRC KTS with Cognizant, EP/K034413/1, EP/K011715/1 and EP/L00058X/1, EU project FP7-612985 Up-Scale and ICT COST Action 1201 BETTY. ...
doi:10.1145/2688500.2688519
dblp:conf/ppopp/CogumbreiroHMY15
fatcat:zpos24esf5hgnjhvhiyvfbfk7y
Dynamic deadlock verification for general barrier synchronisation
2015
SIGPLAN notices
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We prove that finding a deadlock in either representation is equivalent, and that the verification algorithm is sound and complete with respect to the notion of deadlock in our core language. ...
Our tool verifies more barrier synchronisation patterns than current state-of-the-art. ...
The work is partially supported by EPSRC KTS with Cognizant, EP/K034413/1, EP/K011715/1 and EP/L00058X/1, EU project FP7-612985 Up-Scale and ICT COST Action 1201 BETTY. ...
doi:10.1145/2858788.2688519
fatcat:tn3tnmgbhba4dpojydqrpxeiam
The ECHORD Project: A General Perspective
[chapter]
2014
Springer Tracts in Advanced Robotics
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There has been a long history of outstanding research and development in both robot manufacturers and research institutes. ...
However, finding common ground between manufacturers and the research community, especially when it comes to defining the future direction of robotics research, has proven difficult in the past. ...
The core idea of the experiment was the application of state-ofthe-art industrial robots together with fixable, passive kinematic arms, which have a large number of degrees of freedom, but without their ...
doi:10.1007/978-3-319-03838-4_1
fatcat:6vwxybovv5ev3g5mw4xre4tmmm
Computational generation of slogans
2020
Natural Language Engineering
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We evaluate the metaphor and slogan generation methods by running crowdsourced surveys. ...
In advertising, slogans are used to enhance the recall of the advertised product by consumers and to distinguish it from others in the market. ...
This work has been supported by the Academy of Finland under grant 276897 (CLiC) and by the European Union's Horizon 2020 programme under grant 825153 (Embeddia). ...
doi:10.1017/s1351324920000236
fatcat:nglnm2oar5etpk74asov5uujnu
A review of the generation of requirements specification in natural language using objects UML models and domain ontology
2021
Procedia Computer Science
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This paper presents a survey of some works undertaken in the field of generation natural language specifications from object UML model using the support of an ontology. and analyzing the robustness and ...
This paper presents a survey of some works undertaken in the field of generation natural language specifications from object UML model using the support of an ontology. and analyzing the robustness and ...
Generating natural language specifications from software models: state of the art In this section, we will review two types of works. ...
doi:10.1016/j.procs.2021.05.102
fatcat:ehjiod3kdvectoibcc2q5kpjny
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