Thanks to the technological revolution that has accompanied the Web 2.0, users are able to
interact intensively on the Internet, as reflected in social networks, blogs, forums, etc. In …

Much existing research on blogs focused on posts only, ignoring their comments. Our user
study conducted on summarizing blog posts, however, showed that reading comments does …

Comments left by readers on Web documents contain valuable information that can be
utilized in different information retrieval tasks including document search, visualization, and …

This article studies information retrieval tasks related to Web comments. Prerequisite of such
a study and a main contribution of the article is a unifying survey of the research field. We …

In the context of social media, users mutually share their interests of an event mentioned in a
Web document. Its content can also be found in different news providers with a writing …

This paper presents VSoLSCSum, a Vietnamese linked sentence-comment dataset, which
was manually created to treat the lack of standard corpora for social context summarization …

This paper investigates whether Web comments are of descriptive nature, that is, whether
the combined text of a set of comments is similar in topic to the commented object. If so …

Traditional summarization methods only use the internal information of a Web document
while ignoring its social information such as tweets from Twitter, which can provide a …

In recent years personalised summarisation has been a hot research topic. Personalised
summarisation techniques often attach high importance to query terms in order to customise …

An example environment can automatically generate con tent for a conversation in response
to a presented content item. An example computing device receives information associated …