Add to ORKGIn this paper we report an initial study on the effectiveness of query-biased summaries for a question answering task. Our summarisation system presents searchers with short summaries of documents. The summaries are composed of a set of sentences that highlight the main points of the document as they relate to the query. These summaries are also used as evidence for a query expansion algorithm to test the use of summaries as evidence for interactive and automatic query expansion. We present the results of a set of experiments to test these two approaches and discuss the relative success of these techniques
Query expansion is a well-known method for improving average effectiveness in information retrieval....
As highly structured documents with rich metadata (such as products, movies, etc.) become increasing...
Users of information retrieval (IR) systems issue queries to find information in large collections o...
In this paper we report on the effectiveness of query-biased summaries for a question-answering task...
Query-biased summaries help users to identify which items returned by a search system should be read...
1 This paper presents an investigation into the utility of document summarisation in the context of...
Update summarization is a form of multi-document summarization where a document set must be summariz...
The aim of the work described in this paper is to evaluate the influencing effects of query-biased s...
In this paper we present a query-biased summarisation interface for web searching. The summarisation...
In this paper, a query-based summarization method, which uses a combination of semantic relations be...
Research on Question Answering is focused mainly on classifying the question type and finding the an...
This paper presents a survey of recent extractive query-based summarization techniques. We explore a...
This paper describes a set of experimental results produced from the TIPSTER SUMMAC initiative on us...
Query-oriented relevance, information richness and novelty are important requirements in query-focus...
Human-made query-based summaries commonly contain information not explicitly asked for. They answer ...
Query expansion is a well-known method for improving average effectiveness in information retrieval....
As highly structured documents with rich metadata (such as products, movies, etc.) become increasing...
Users of information retrieval (IR) systems issue queries to find information in large collections o...
In this paper we report on the effectiveness of query-biased summaries for a question-answering task...
Query-biased summaries help users to identify which items returned by a search system should be read...
1 This paper presents an investigation into the utility of document summarisation in the context of...
Update summarization is a form of multi-document summarization where a document set must be summariz...
The aim of the work described in this paper is to evaluate the influencing effects of query-biased s...
In this paper we present a query-biased summarisation interface for web searching. The summarisation...
In this paper, a query-based summarization method, which uses a combination of semantic relations be...
Research on Question Answering is focused mainly on classifying the question type and finding the an...
This paper presents a survey of recent extractive query-based summarization techniques. We explore a...
This paper describes a set of experimental results produced from the TIPSTER SUMMAC initiative on us...
Query-oriented relevance, information richness and novelty are important requirements in query-focus...
Human-made query-based summaries commonly contain information not explicitly asked for. They answer ...
Query expansion is a well-known method for improving average effectiveness in information retrieval....
As highly structured documents with rich metadata (such as products, movies, etc.) become increasing...
Users of information retrieval (IR) systems issue queries to find information in large collections o...