This paper presents a topic-driven multidocument summarization approach that relies on linking documents to Wikipedia. Wikipedia provides structural support to retrieve relevant concepts from the documents to be summarized, and quantify the strength of the relations between them, thus expanding the topic. We identify concepts in the documents, and assign them scores that describe their relevanc...

We have developed a text summarization system that can generate summaries over time from web crawls on disasters. We show that our method of identifying exemplar sentences for a summary using affinity propagation clustering produces better summaries than clustering based on K-medoids as measured using Rouge on a small set of examples. A key component of our approach is the prediction of salient...

Graph streams, which refer to the graph with edges being updated sequentially in a form of a stream, have wide applications such as cyber security, social networks and transportation networks. This paper studies the problem of summarizing graph streams. Specifically, given a graph stream G, directed or undirected, the objective is to summarize G as SG with much smaller (sublinear) space, linear...

In this research, we propose the task of question summarization. We first analyzed question-summary pairs extracted from a Community Question Answering (CQA) site, and found that a proportion of questions cannot be summarized by extractive approaches but requires abstractive approaches. We created a dataset by regarding the question-title pairs posted on the CQA site as question-summary pairs. ...

This research is directed towards automating the Web Site summarization task. To achieve this objective, an approach, which applies machine learning and natural language processing techniques, is employed. The automatically generated summaries are compared to manually constructed summaries from DMOZ Open Directory Project. The comparison is performed via a formal evaluation process involving hu...

User-contributed comments are one of the hallmarks of the Social Web, widely adopted across social media sites and mainstream news providers alike. While comments encourage higher-levels of user engagement with online media, their wide success places new burdens on users to process and assimilate the perspectives of a huge number of user-contributed perspectives. Toward overcoming this problem ...

We introduce the task of summarizing a stream of short documents on microblogs such as Twitter. On microblogs, thousands of short documents on a certain topic such as sports matches or TV dramas are posted by users. Noticeable characteristics of microblog data are that documents are often very highly redundant and aligned on timeline. There can be thousands of documents on one event in the topi...