CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking

George Zerveas; Navid Rekabsaz; D. Cohen; Carsten Eickhoff

doi:10.18653/v1/2022.emnlp-main.727

CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking

George Zerveas
, Navid Rekabsaz
, D. Cohen
, Carsten Eickhoff

Institut für Computational Perception

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Originalsprache	Englisch
Titel	In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Herausgeber*innen	Yoav Goldberg, Zornitsa Kozareva, Yue Zhang
Seiten	10626-10644
Seitenumfang	19
ISBN (elektronisch)	9781959429401
DOIs	https://doi.org/10.18653/v1/2022.emnlp-main.727
Publikationsstatus	Veröffentlicht - Dez. 2022

Publikationsreihe

Name	Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022

Wissenschaftszweige

202002 Audiovisuelle Medien
102 Informatik
102001 Artificial Intelligence
102003 Bildverarbeitung
102015 Informationssysteme

JKU-Schwerpunkte

Digital Transformation

Zugriff auf Dokument

10.18653/v1/2022.emnlp-main.727

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

Zerveas, G., Rekabsaz, N., Cohen, D., & Eickhoff, C. (2022). CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. in Y. Goldberg, Z. Kozareva, & Y. Zhang (Hrsg.), In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) (S. 10626-10644). (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022). https://doi.org/10.18653/v1/2022.emnlp-main.727

Zerveas, George ; Rekabsaz, Navid ; Cohen, D. et al. / CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). Hrsg. / Yoav Goldberg ; Zornitsa Kozareva ; Yue Zhang. 2022. S. 10626-10644 (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022).

@inproceedings{a2e0f67d2d3f464584a91457de497dc8,

title = "CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking",

author = "George Zerveas and Navid Rekabsaz and D. Cohen and Carsten Eickhoff",

year = "2022",

month = dec,

doi = "10.18653/v1/2022.emnlp-main.727",

language = "English",

series = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022",

pages = "10626--10644",

editor = "Yoav Goldberg and Zornitsa Kozareva and Yue Zhang",

booktitle = "In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)",

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Zerveas, G, Rekabsaz, N, Cohen, D & Eickhoff, C 2022, CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. in Y Goldberg, Z Kozareva & Y Zhang (Hrsg.), In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, S. 10626-10644. https://doi.org/10.18653/v1/2022.emnlp-main.727

CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. / Zerveas, George; Rekabsaz, Navid; Cohen, D. et al.
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). Hrsg. / Yoav Goldberg; Zornitsa Kozareva; Yue Zhang. 2022. S. 10626-10644 (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking

AU - Zerveas, George

AU - Rekabsaz, Navid

AU - Cohen, D.

AU - Eickhoff, Carsten

PY - 2022/12

Y1 - 2022/12

UR - https://www.scopus.com/pages/publications/85149443216

U2 - 10.18653/v1/2022.emnlp-main.727

DO - 10.18653/v1/2022.emnlp-main.727

M3 - Conference proceedings

T3 - Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022

SP - 10626

EP - 10644

BT - In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)

A2 - Goldberg, Yoav

A2 - Kozareva, Zornitsa

A2 - Zhang, Yue

ER -

Zerveas G, Rekabsaz N, Cohen D, Eickhoff C. CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. in Goldberg Y, Kozareva Z, Zhang Y, Hrsg., In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. S. 10626-10644. (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022). doi: 10.18653/v1/2022.emnlp-main.727