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Table Retrieval

When given a query, the goal of this task is to retrieve a relevant table from a (potentially large) collection of tables. The query could be a single sentence (such as a question), or it could also be a conversation. As for the retrieval, the tables could be in the raw form (i.e. the values of each cells), the metadata (such as the title, description), or summary statistics.

Papers

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Showing 21–27 of 27 papers

TitleStatusHype
Table Retrieval Does Not Necessitate Table-specific Model Design—0
CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering—0
Bridging Queries and Tables through Entities in Table Retrieval—0
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective—0
TARGET: Benchmarking Table Retrieval for Generative Tasks—0
Leveraging Schema Labels to Enhance Dataset Search—0
Question Answering via Web Extracted Tables and Pipelined Models—0
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