Exploring Chunk Based Templates for Generating a subset of English Text

Nikhilesh Bhatnagar, Manish Shrivastava, Radhika Mamidi


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.
Anthology ID:
P18-3017
Volume:
Proceedings of ACL 2018, Student Research Workshop
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
120–126
Language:
URL:
https://aclanthology.org/P18-3017
DOI:
10.18653/v1/P18-3017
Bibkey:
Cite (ACL):
Nikhilesh Bhatnagar, Manish Shrivastava, and Radhika Mamidi. 2018. Exploring Chunk Based Templates for Generating a subset of English Text. In Proceedings of ACL 2018, Student Research Workshop, pages 120–126, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Exploring Chunk Based Templates for Generating a subset of English Text (Bhatnagar et al., ACL 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/P18-3017.pdf
Software:
 P18-3017.Software.zip