Effective extraction of query relevant information present within documents on the web is a nontriv-ial task. In this paper we present our system called QueSTS, which does the above task by filtering and ag-gregating important query relevant sentences distributed across a set of documents. Our approach captures the contextual relationships among sentences of all in-put documents and represents them as an “integrated graph”. These relationships are exploited and several subgraphs of integrated graph which consist of sen-tences that are highly relevant to the query and that are highly related to each other are constructed. These sub-graphs are ranked by our scoring model. The highest ranked subgraph which is rich in query relevant infor-matio...
In this paper, we have considered a real world information synthesis task, generation of a fixed len...
In this paper, we have considered a real world information synthesis task, generation of a fixed len...
Query-Focused Summarization (QFS) summarizes a document cluster in response to a specific input quer...
Query focused summarization is the task of producing a compressed text of original set of documents ...
Traditional graph based sentence ranking algorithms such as LexRank and HITS model the documents to ...
Traditional graph based sentence ranking algorithms such as LexRank and HITS model the documents to ...
In this paper, a query-based summarization method, which uses a combination of semantic relations be...
Extractive summarization aims to produce a concise version of a document by extracting information-r...
We propose a new method for query-biased multi-document summarization, based on sentence extraction....
Query-oriented relevance, information richness and novelty are important requirements in query-focus...
This paper presents a survey of recent extractive query-based summarization techniques. We explore a...
Human-made query-based summaries commonly contain information not explicitly asked for. They answer ...
When a user is served with a ranked list of relevant doc-uments by the standard document search engi...
International audienceWe propose a new method for query-biased multi-document summarization, based o...
In recent years, graph-based models and ranking algorithms have drawn considerable attention from th...
In this paper, we have considered a real world information synthesis task, generation of a fixed len...
In this paper, we have considered a real world information synthesis task, generation of a fixed len...
Query-Focused Summarization (QFS) summarizes a document cluster in response to a specific input quer...
Query focused summarization is the task of producing a compressed text of original set of documents ...
Traditional graph based sentence ranking algorithms such as LexRank and HITS model the documents to ...
Traditional graph based sentence ranking algorithms such as LexRank and HITS model the documents to ...
In this paper, a query-based summarization method, which uses a combination of semantic relations be...
Extractive summarization aims to produce a concise version of a document by extracting information-r...
We propose a new method for query-biased multi-document summarization, based on sentence extraction....
Query-oriented relevance, information richness and novelty are important requirements in query-focus...
This paper presents a survey of recent extractive query-based summarization techniques. We explore a...
Human-made query-based summaries commonly contain information not explicitly asked for. They answer ...
When a user is served with a ranked list of relevant doc-uments by the standard document search engi...
International audienceWe propose a new method for query-biased multi-document summarization, based o...
In recent years, graph-based models and ranking algorithms have drawn considerable attention from th...
In this paper, we have considered a real world information synthesis task, generation of a fixed len...
In this paper, we have considered a real world information synthesis task, generation of a fixed len...
Query-Focused Summarization (QFS) summarizes a document cluster in response to a specific input quer...
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