@inproceedings{singh-etal-2022-verb,
title = "Verb Phrase Anaphora:Do(ing) so with Heuristics",
author = "Singh, Sandhya and
Shree, Kushagra and
Saha, Sriparna and
Bhattacharyya, Pushpak and
Chinnadurai, Gladvin and
Vatsa, Manish",
editor = "Akhtar, Md. Shad and
Chakraborty, Tanmoy",
booktitle = "Proceedings of the 19th International Conference on Natural Language Processing (ICON)",
month = dec,
year = "2022",
address = "New Delhi, India",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.icon-main.13",
pages = "92--98",
abstract = "Verb Phrase Anaphora (VPA) is a universal language phenomenon. It can occur in the form of do so phrase, verb phrase ellipsis, etc. Resolving VPA can improve the performance of Dialogue processing systems, Natural Language Generation (NLG), Question Answering (QA) and so on. In this paper, we present a novel computational approach to resolve the specific verb phrase anaphora appearing as do so construct and its lexical variations for the English language. The approach follows a heuristic technique using a combination of parsing from classical NLP, state-of-the-art (SOTA) Generative Pre-trained Transformer (GPT) language model and RoBERTa grammar correction model. The result indicates that our approach can resolve these specific verb phrase anaphora cases with 73.40 F1 score. The data set used for testing the specific verb phrase anaphora cases of do so and doing so is released for research purposes. This module has been used as the last module in a coreference resolution pipeline for a downstream QA task for the electronic home appliances sector.",
}
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<abstract>Verb Phrase Anaphora (VPA) is a universal language phenomenon. It can occur in the form of do so phrase, verb phrase ellipsis, etc. Resolving VPA can improve the performance of Dialogue processing systems, Natural Language Generation (NLG), Question Answering (QA) and so on. In this paper, we present a novel computational approach to resolve the specific verb phrase anaphora appearing as do so construct and its lexical variations for the English language. The approach follows a heuristic technique using a combination of parsing from classical NLP, state-of-the-art (SOTA) Generative Pre-trained Transformer (GPT) language model and RoBERTa grammar correction model. The result indicates that our approach can resolve these specific verb phrase anaphora cases with 73.40 F1 score. The data set used for testing the specific verb phrase anaphora cases of do so and doing so is released for research purposes. This module has been used as the last module in a coreference resolution pipeline for a downstream QA task for the electronic home appliances sector.</abstract>
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%0 Conference Proceedings
%T Verb Phrase Anaphora:Do(ing) so with Heuristics
%A Singh, Sandhya
%A Shree, Kushagra
%A Saha, Sriparna
%A Bhattacharyya, Pushpak
%A Chinnadurai, Gladvin
%A Vatsa, Manish
%Y Akhtar, Md. Shad
%Y Chakraborty, Tanmoy
%S Proceedings of the 19th International Conference on Natural Language Processing (ICON)
%D 2022
%8 December
%I Association for Computational Linguistics
%C New Delhi, India
%F singh-etal-2022-verb
%X Verb Phrase Anaphora (VPA) is a universal language phenomenon. It can occur in the form of do so phrase, verb phrase ellipsis, etc. Resolving VPA can improve the performance of Dialogue processing systems, Natural Language Generation (NLG), Question Answering (QA) and so on. In this paper, we present a novel computational approach to resolve the specific verb phrase anaphora appearing as do so construct and its lexical variations for the English language. The approach follows a heuristic technique using a combination of parsing from classical NLP, state-of-the-art (SOTA) Generative Pre-trained Transformer (GPT) language model and RoBERTa grammar correction model. The result indicates that our approach can resolve these specific verb phrase anaphora cases with 73.40 F1 score. The data set used for testing the specific verb phrase anaphora cases of do so and doing so is released for research purposes. This module has been used as the last module in a coreference resolution pipeline for a downstream QA task for the electronic home appliances sector.
%U https://aclanthology.org/2022.icon-main.13
%P 92-98
Markdown (Informal)
[Verb Phrase Anaphora:Do(ing) so with Heuristics](https://aclanthology.org/2022.icon-main.13) (Singh et al., ICON 2022)
ACL
- Sandhya Singh, Kushagra Shree, Sriparna Saha, Pushpak Bhattacharyya, Gladvin Chinnadurai, and Manish Vatsa. 2022. Verb Phrase Anaphora:Do(ing) so with Heuristics. In Proceedings of the 19th International Conference on Natural Language Processing (ICON), pages 92–98, New Delhi, India. Association for Computational Linguistics.