Local or Global? A Comparative Study on Applications of Embedding Models for Information Retrieval-Reference-Cited by-同舟云学术

Local or Global? A Comparative Study on Applications of Embedding Models for Information Retrieval

Published:2022-01-08 Issue: Volume: Page:
ISSN:
Container-title:5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)
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Author:

Roy Dwaipayan¹,Mitra Mandar²,Mayr Philipp³,Chowdhury Amritap⁴

Affiliation:

1. Indian Institute of Science Education and Research, Kolkata, IN

2. Indian Statistical Institute, Kolkata, IN

3. GESIS - Leibniz Institute for the Social Sciences, DE

4. Bloomreach, IN

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3493700.3493701

Reference20 articles.

1. Piyush Arora , Jennifer Foster , and Gareth J . F. Jones. 2017 . Query Expansion for Sentence Retrieval Using Pseudo Relevance Feedback and Word Embedding. In 8th CLEF 2017 . 97–103. Piyush Arora, Jennifer Foster, and Gareth J. F. Jones. 2017. Query Expansion for Sentence Retrieval Using Pseudo Relevance Feedback and Word Embedding. In 8th CLEF 2017. 97–103.

2. Ronan Collobert , Jason Weston , Léon Bottou , Michael Karlen , Koray Kavukcuoglu , and Pavel P. Kuksa . 2011. Natural Language Processing (Almost) from Scratch. J. Mach. Learn. Res. 12 (Nov . 2011 ), 2493–2537. Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel P. Kuksa. 2011. Natural Language Processing (Almost) from Scratch. J. Mach. Learn. Res. 12 (Nov. 2011), 2493–2537.

3. Efficient and effective spam filtering and re-ranking for large web datasets

4. BERT;Devlin Jacob;Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proc. of NAACL-HLT,2019

5. Query Expansion with Locally-Trained Word Embeddings

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