Abstract. Weakly-supervised table question-answering (TableQA) models have achieved state-of-art performance by using pre-trained BERT transformer to ...
Sep 15, 2021 · This work proposes T3QA (Topic Transferable Table Question Answering) a pragmatic adaptation framework for TableQA comprising of a ...
Table Question Answering (Table QA) is the answering a question about an information on a given table. ... The table to serve as context for the questions.
This is an t5-base model, finetuned to generate questions given a table using WikiSQL dataset. It was trained to take the SQL, answer and column header of a ...
Jul 5, 2024 · This paper proposes a novel architecture to generate multi-hop answers to open domain questions that require information from texts and tables, ...
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What is table question answering?
In this tutorial we demonstrate how to perform table question answering using OpenVINO. This example based on TAPAS base model fine-tuned on WikiTable Questions ...
May 31, 2024 · This task involves answering natural language (NL) questions on top of tabular data, demanding proficiency in logical reasoning, understanding ...
Oct 4, 2024 · Abstract:TableQA is the task of answering questions over tables of structured information, returning individual cells or tables as output.
Missing: Transferable | Show results with:Transferable
Dec 2, 2021 · Question answering from tables describes a task that takes a question and a table (some structured text data) as input and returns the ...
Missing: Topic Transferable
Topic Transferable Table Question Answering ... Weakly-supervised table question-answering(TableQA) models have achieved state-of-art performance by using pre- ...