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arXiv · 1812.10119

Sequence to Sequence Learning for Query Expansion

Salah Zaiem·Fatiha Sadat
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Abstract

Using sequence to sequence algorithms for query expansion has not been explored yet in Information Retrieval literature nor in Question-Answering's. We tried to fill this gap in the literature with a custom Query Expansion engine trained and tested on open datasets. Starting from open datasets, we built a Query Expansion training set using sentence-embeddings-based Keyword Extraction. We therefore assessed the ability of the Sequence to Sequence neural networks to capture expanding relations in the words embeddings' space.

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Salah Zaiem, Fatiha Sadat. 2018-12-25. Sequence to Sequence Learning for Query Expansion. https://arxiv.org/abs/1812.10119

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