Processing Heterogeneous Collections in XML Information Retrieval

Azevedo, Maria Izabel Menezes; Paixão, Klérisson V. R.; Pereira, Diego Vinicius

doi:10.1007/978-3-540-34963-1_29

Cited by 1 publication

(1 citation statement)

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“…Jeon et al conduct a comparative study of four retrieval techniques (i.e., VSM, Okapi, language model, and translation-based model) [26]. Whereas the study took none question's structure into account, research in (semi) structured retrieval had indicated some improvements [27], [28]. Later, Theobald et al combine stop-word antecedents with short chains of adjacent content terms [29].…”

Section: Related Workmentioning

confidence: 99%

Duplicate Question Detection in Stack Overflow: A Reproducibility Study

Silva

Paixão

Maia

2018

Preprint

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Abstract-Stack Overflow has become a fundamental element of developer toolset. Such influence increase has been accompanied by an effort from Stack Overflow community to keep the quality of its content. One of the problems which jeopardizes that quality is the continuous growth of duplicated questions. To solve this problem, prior works focused on automatically detecting duplicated questions. Two important solutions are DupPredictor and Dupe. Despite reporting significant results, both works do not provide their implementations publicly available, hindering subsequent works in scientific literature which rely on them. We executed an empirical study as a reproduction of DupPredictor and Dupe. Our results, not robust when attempted with different set of tools and data sets, show that the barriers to reproduce these approaches are high. Furthermore, when applied to more recent data, we observe a performance decay of our both reproductions in terms of recall-rate over time, as the number of questions increases. Our findings suggest that the subsequent works concerning detection of duplicated questions in Question and Answer communities require more investigation to assert their findings.

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Section: Related Workmentioning

confidence: 99%