Improving the Relevance of Product Search for Queries with Negations

Author:

Merra Felice Antonio1ORCID,Zaidan Omar1ORCID,de Sousa Nascimento Fabricio2ORCID

Affiliation:

1. Amazon, Germany

2. Amazon, Japan

Publisher

ACM

Reference26 articles.

1. Ali Ahmadvand Surya Kallumadi Faizan Javed and Eugene Agichtein. 2020. JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search. In SIGIR. ACM 1509–1512.

2. Mordechai Averbuch, Tom H. Karson, Benjamin Ben-Ami, Oded Maimon, and Lior Rokach. 2004. Context-Sensitive Medical Information Retrieval. In MedInfo(Studies in Health Technology and Informatics, Vol. 107). IOS Press, 282–286.

3. Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm

4. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries

5. Isaac G. Councill, Ryan T. McDonald, and Leonid Velikovich. 2010. What’s great and what’s not: learning to classify the scope of negation for improved sentiment analysis. In NeSp-NLP@ACL. University of Antwerp, 51–59.

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