Jul 25, 2020 · We address the web table retrieval task, aiming to retrieve and rank web tables as whole answers to a given information need.
It is concerned with the task of retrieving a set of tables from a table corpus and ranking them in descending order based on relevance score to a keyword query ...
Jul 25, 2020 · We suggest a novel multimodal learning approach for web table retrieval, which is implemented as a deep neural ranking model. Starting with the ...
Jul 25, 2020 · We address the web table retrieval task, aiming to retrieve and rank web tables as whole answers to a given information need.
Duration: 14:09
Posted: Aug 10, 2020
Posted: Aug 10, 2020
Mar 20, 2024 · A retrieval-augmented generation (RAG) application has exponentially higher utility if it can work with a wide variety of data types—tables, ...
Web Table Retrieval using Multimodal Deep Learning. https://doi.org/10.1145/3397271.3401120. Journal: Proceedings of the 43rd International ACM SIGIR ...
Jul 19, 2024 · Multimodal Learning refers to Artificial Intelligence system's capability to simultaneously process and understand multiple senses such as text, ...
Abstract. Open-domain extractive question answering works well on textual data by first retrieving candidate texts and then extracting the answer.
We address the web table retrieval task, aiming to retrieve and rank web tables as whole answers to a given information need.