@inproceedings{bhatnagar-etal-2018-exploring,
title = "Exploring Chunk Based Templates for Generating a subset of {E}nglish Text",
author = "Bhatnagar, Nikhilesh and
Shrivastava, Manish and
Mamidi, Radhika",
editor = "Shwartz, Vered and
Tabassum, Jeniya and
Voigt, Rob and
Che, Wanxiang and
de Marneffe, Marie-Catherine and
Nissim, Malvina",
booktitle = "Proceedings of {ACL} 2018, Student Research Workshop",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P18-3017",
doi = "10.18653/v1/P18-3017",
pages = "120--126",
abstract = "Natural Language Generation (NLG) is a research task which addresses the automatic generation of natural language text representative of an input non-linguistic collection of knowledge. In this paper, we address the task of the generation of grammatical sentences in an isolated context given a partial bag-of-words which the generated sentence must contain. We view the task as a search problem (a problem of choice) involving combinations of smaller chunk based templates extracted from a training corpus to construct a complete sentence. To achieve that, we propose a fitness function which we use in conjunction with an evolutionary algorithm as the search procedure to arrive at a potentially grammatical sentence (modeled by the fitness score) which satisfies the input constraints.",
}
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%0 Conference Proceedings
%T Exploring Chunk Based Templates for Generating a subset of English Text
%A Bhatnagar, Nikhilesh
%A Shrivastava, Manish
%A Mamidi, Radhika
%Y Shwartz, Vered
%Y Tabassum, Jeniya
%Y Voigt, Rob
%Y Che, Wanxiang
%Y de Marneffe, Marie-Catherine
%Y Nissim, Malvina
%S Proceedings of ACL 2018, Student Research Workshop
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F bhatnagar-etal-2018-exploring
%X Natural Language Generation (NLG) is a research task which addresses the automatic generation of natural language text representative of an input non-linguistic collection of knowledge. In this paper, we address the task of the generation of grammatical sentences in an isolated context given a partial bag-of-words which the generated sentence must contain. We view the task as a search problem (a problem of choice) involving combinations of smaller chunk based templates extracted from a training corpus to construct a complete sentence. To achieve that, we propose a fitness function which we use in conjunction with an evolutionary algorithm as the search procedure to arrive at a potentially grammatical sentence (modeled by the fitness score) which satisfies the input constraints.
%R 10.18653/v1/P18-3017
%U https://aclanthology.org/P18-3017
%U https://doi.org/10.18653/v1/P18-3017
%P 120-126
Markdown (Informal)
[Exploring Chunk Based Templates for Generating a subset of English Text](https://aclanthology.org/P18-3017) (Bhatnagar et al., ACL 2018)
ACL