WebCTE: A Dataset for Contextualized Table Extraction [1.1859913430860336] The dataset comprises 75k fully annotated pages of scientific papers, including more than 35k tables. Data are gathered from PubMed Central, merging the information provided by annotations in the PubTables-1M and PubLayNet datasets. Web23 ott 2024 · AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization. Summarization is the task of compressing source document …
dataset_infos.json · aquamuse at …
Web14 dic 2024 · Query-focused summarization (QFS) aims to produce summaries that answer particular questions of interest, enabling greater user control and personalization. While recently released datasets, such as QMSum or AQuaMuSe, facilitate research efforts in QFS, the field lacks a comprehensive study of the broad space of applicable modeling … Web7 ott 2024 · For query focused setting, in the AQuaMuSe system Kulkarni et al. ( 2024), the authors propose a general method for building qMDS datasets based on question answering datasets where the answer serves as summary of relevant documents extracted from a … parachico chiapas
Neural Query-Biased Abstractive Summarization Using Copying …
Web14 dic 2024 · Query-focused summarization (QFS) aims to produce summaries that answer particular questions of interest, enabling greater user control and personalization. While recently released datasets, such as QMSum or AQuaMuSe, facilitate research efforts in QFS, the field lacks a comprehensive study of the broad space of applicable modeling … Webaquamuse. Copied. like 0. Tasks: abstractive-qa extractive-qa other-other-query-based-multi-document-summarization. Task Categories: other question-answering text2text … おじけづく 類義語