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Document summarization for answering non-factoid queries
We formulate a document summarization method to extract passage-level answers for non-
factoid queries, referred to as answer-biased summaries. We propose to use external …
factoid queries, referred to as answer-biased summaries. We propose to use external …
Explaining controversy on social media via stance summarization
In an era in which new controversies rapidly emerge and evolve on social media, navigating
social media platforms to learn about a new controversy can be an overwhelming task. In …
social media platforms to learn about a new controversy can be an overwhelming task. In …
A survey on automatic twitter event summarization
Twitter is one of the most popular social platforms for online users to share trendy
information and views on any event. Twitter reports an event faster than any other medium …
information and views on any event. Twitter reports an event faster than any other medium …
Tweet-aware news summarization with dual-attention mechanism
Neural models have been applied to many text summarization tasks recently. In general, a
large number of high quality reference summaries are required to train well-performing …
large number of high quality reference summaries are required to train well-performing …
Weibo-oriented Chinese news summarization via multi-feature combination
The past several years have witnessed the rapid development of social media services, and
the UGCs (User Generated Contents) have been increased dramatically, such as tweets in …
the UGCs (User Generated Contents) have been increased dramatically, such as tweets in …
Using semantic and context features for answer summary extraction
We investigate the effectiveness of using semantic and context features for extracting
document summaries that are designed to contain answers for non-factoid queries. The …
document summaries that are designed to contain answers for non-factoid queries. The …
Semantic-based query expansion for academic expert finding
Expert finding in academic domain is useful for many purposes, such as: to find research
collaborators, article reviewers, thesis advisors, thesis examiners, etc. This work examines …
collaborators, article reviewers, thesis advisors, thesis examiners, etc. This work examines …
[PDF][PDF] Determining subject headings of documents using information retrieval models
Subject heading is a controlled vocabulary that describes the topic of a document, which is
important to find and organize library resources. Assigning appropriate subject headings to …
important to find and organize library resources. Assigning appropriate subject headings to …
[PDF][PDF] Improving single document summarization in a multi-document environment
SH Huspi - RMIT Univ. Publ, 2017 - core.ac.uk
1.1 Motivation.......................................................... 4 1.2 Problem Statement.....................................
............... 6 1.2. 1 To Examined Different Means to Get Information from Surrounding …
............... 6 1.2. 1 To Examined Different Means to Get Information from Surrounding …
Authority and priority signals in automatic summary generation for online reputation management
J Rodríguez‐Vidal… - Journal of the …, 2021 - Wiley Online Library
Online reputation management (ORM) comprises the collection of techniques that help
monitoring and improving the public image of an entity (companies, products, institutions) on …
monitoring and improving the public image of an entity (companies, products, institutions) on …