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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 1–10 of 27 papers

TitleStatusHype
Table Retrieval May Not Necessitate Table-specific Model DesignCode1
CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question AnsweringCode1
Semantic Table Retrieval using Keyword and Table QueriesCode1
StruBERT: Structure-aware BERT for Table Search and MatchingCode1
Table Search Using a Deep Contextualized Language ModelCode1
WTR: A Test Collection for Web Table RetrievalCode1
Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End SystemCode1
Retrieving Complex Tables with Multi-Granular Graph Representation LearningCode1
Content-Based Table Retrieval for Web Queries—0
CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering—0
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