Distant Supervision for Keyphrase Extraction using Search Queries

Oren Sar Shalom; Hezi Resheff; Alex Zhicharevich; Rami Cohen

doi:10.1109/bigdataservice49289.2020.00019

Distant Supervision for Keyphrase Extraction using Search Queries

Oren Sar Shalom, Hezi Resheff, Alex Zhicharevich, Rami Cohen

Intuit AI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Keyphrase extraction aims at automatically selecting small set of phrases in a document, that best describe its main ideas. There is great need for better methods of keyphrase extraction in the absence of labeled data, as currently unsupervised algorithms fail to achieve adequate performance, compared to their supervised counterparts. In this paper we suggest a widely applicable distant supervision framework based on auxiliary data from query logs. By propagating information from queries and subsequent consumption of content, weak labels are produced, transforming the problem into the easier supervised task. Evaluation on a large dataset shows the superiority of this approach over unsupervised alternatives.

Original language	English
Title of host publication	Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	70-77
Number of pages	8
ISBN (Electronic)	9781728170220
DOIs	https://doi.org/10.1109/bigdataservice49289.2020.00019
State	Published - Aug 2020
Externally published	Yes
Event	6th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2020 - Oxford, United Kingdom Duration: 3 Aug 2020 → 6 Aug 2020

Publication series

Name	Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020

Conference

Conference	6th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2020
Country/Territory	United Kingdom
City	Oxford
Period	3/08/20 → 6/08/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Document Analysis
Keyphrase Extraction
Knowledge Extraction

Access to Document

10.1109/bigdataservice49289.2020.00019

Cite this

Sar Shalom, O., Resheff, H., Zhicharevich, A., & Cohen, R. (2020). Distant Supervision for Keyphrase Extraction using Search Queries. In Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020 (pp. 70-77). Article 9179571 (Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/bigdataservice49289.2020.00019

Sar Shalom, Oren ; Resheff, Hezi ; Zhicharevich, Alex et al. / Distant Supervision for Keyphrase Extraction using Search Queries. Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 70-77 (Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020).

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abstract = "Keyphrase extraction aims at automatically selecting small set of phrases in a document, that best describe its main ideas. There is great need for better methods of keyphrase extraction in the absence of labeled data, as currently unsupervised algorithms fail to achieve adequate performance, compared to their supervised counterparts. In this paper we suggest a widely applicable distant supervision framework based on auxiliary data from query logs. By propagating information from queries and subsequent consumption of content, weak labels are produced, transforming the problem into the easier supervised task. Evaluation on a large dataset shows the superiority of this approach over unsupervised alternatives.",

keywords = "Document Analysis, Keyphrase Extraction, Knowledge Extraction",

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series = "Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Sar Shalom, O, Resheff, H, Zhicharevich, A & Cohen, R 2020, Distant Supervision for Keyphrase Extraction using Search Queries. in Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020., 9179571, Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020, Institute of Electrical and Electronics Engineers Inc., pp. 70-77, 6th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2020, Oxford, United Kingdom, 3/08/20. https://doi.org/10.1109/bigdataservice49289.2020.00019

Distant Supervision for Keyphrase Extraction using Search Queries. / Sar Shalom, Oren; Resheff, Hezi; Zhicharevich, Alex et al.
Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 70-77 9179571 (Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - Knowledge Extraction

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Sar Shalom O, Resheff H, Zhicharevich A, Cohen R. Distant Supervision for Keyphrase Extraction using Search Queries. In Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 70-77. 9179571. (Proceedings - 2020 IEEE 6th International Conference on Big Data Computing Service and Applications, BigDataService 2020). doi: 10.1109/bigdataservice49289.2020.00019

Distant Supervision for Keyphrase Extraction using Search Queries

Abstract

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Bibliographical note

Keywords

Access to Document

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