Bundy, Alan

Ferguson, Nick

Guillou, Liane

Nuamah, Kwabena

English

We present a study into the ability of paraphrase generation to increase the variety of natural language queries that the Frank Query Answering system can answer. We choose an English-French backtranslation model to generate paraphrases, which we test using a small challenge dataset. We conclude that this method is not useful for improving the variety of natural language queries that Frank can answer. Based on our observations, we recommend future work in the following directions: (1) allowing the ability to specify a form to paraphrase an input into; (2) constrained paraphrasing to avoid loss of information about query intent; and (3) the need for an automatic evaluation metric which captures semantic similarity, allows syntactic variation, and rewards preservation of query intent

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Integrating Paraphrasing into the FRANK QA System

https://www.research.ed.ac.uk/files/300218628/Integrating_Paraphrasing_FERGUSON_DOA15072022_VOR_CC_BY.pdf

Integrating Paraphrasing into the FRANK QA System

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