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Towards Automatic Evaluation of Reused Answers in Community Question Answering Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Improving Arabic Microblog Retrieval with Distributed Representations

Authors : Shahad Alshalan, Raghad Alshalan, Hend Al-Khalifa, Reem Suwaileh, Tamer Elsayed

Published in: Information Retrieval Technology

Publisher: Springer International Publishing

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Abstract

Query expansion (QE) using pseudo relevance feedback (PRF) is one of the approaches that has been shown to be effective for improving microblog retrieval. In this paper, we investigate the performance of three different embedding-based methods on Arabic microblog retrieval: Embedding-based QE, Embedding-based PRF, and PRF incorporated with embedding-based reranking. Our experimental results over three variants of EveTAR test collection showed a consistent improvement of the reranking method over the traditional PRF baseline using both MAP and P@10 evaluation measures. The improvement is statistically-significant in some cases. However, while the embedding-based QE fails to improve over the traditional PRF, the embedding-based PRF successfully outperforms the baseline in several cases, with a statistically-significant improvement using MAP measure over two variants of the test collection.

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Footnotes
3
Due to the space constraints, we solely report the DES results.
 
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Metadata
Title
Improving Arabic Microblog Retrieval with Distributed Representations
Authors
Shahad Alshalan
Raghad Alshalan
Hend Al-Khalifa
Reem Suwaileh
Tamer Elsayed
Copyright Year
2020
Book
Information Retrieval Technology

Print ISBN: 978-3-030-42834-1

Electronic ISBN: 978-3-030-42835-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-42835-8_16