Sep 23, 2018 · In many cases, search queries involve specific attributes of an entity in a knowledge base (KB), which can be further used to find query answers ...
In this study, we aim to move forward the understanding of queries by identifying their related entity attributes from a knowledge base. To this end, we.
In this study, we aim to move forward the understanding of queries by identifying their related entity attributes from a knowledge base. To this end, we ...
This study introduces the task of entity attribute identification and proposes two methods to address it: a model based on Markov Random Field, ...
In this study, we aim to move forward the understanding of queries by identifying their related entity attributes from a knowledge base. To this end, we.
Aug 3, 2010 · The most efficient solution is to convert those attributes into columns and do away with the EAV. :)
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The entity attribute identification data collection and its corresponding qrels files are available under data directory. This directory is organized as ...
Dec 13, 2024 · In this study, we aim to move forward the understanding of queries by identifying their related entity attributes from a knowledge base. To this ...
Arash Dargahi Nobari, Arian Askari, Faegheh Hasibi, Mahmood Neshati: Query Understanding via Entity Attribute Identification. CoRR abs/1809.08566 (2018).
The Query Classifier predicts product classes and attributes that customers are most likely to engage with, based on their search queries.