An automatic question answering and knowledge summarization approach for Q&amp;A services

Hou, Jiang-Liang; Wu, Yu-Jen

doi:10.1080/02533839.2009.9671497

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…Zhang et al discuss the framework of knowledge summarization based on description logics, and how to measure the summarization with the summarization rate theoretically [8]. Hou et al propose an approach to analyze and summarize the FAQs text for automatic question answering services, and its core idea is based on the correlation between the target question and the keyword distribution of FAQs [9]. Nastase introduces an approach of topic-driven multi-document summarization, using encyclopedic knowledge and spreading activation to produce summarizations related to the topic reflected in a user's query [10].…”

Section: Related Workmentioning

confidence: 99%

Interleaving Reasoning and Selection with Knowledge Summarization

Wang

Huang

Zeng

et al. 2011

2011 Seventh International Conference on Semantics, Knowledge and Grids

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When the physical space and the cyber space are linked by human, Cyber-Physical Society (CPS) has emerged and produced many challenges. Among which, the challenge of fast growing data and knowledge both from the physical space and the cyber space has become a crucial issue. Scalability becomes a big barrier in data processing (more specifically, search and reasoning). Traditional knowledge processing methods aim at providing users complete results in rational time, which is not applicable when it comes to very large-scale data. While in the context of Web and large-scale data, users' expectations are not always receiving complete results, instead, they may prefer to get some incomplete subset of the results compared to waiting for a long time. With this spirit, an approach named Interleaving Reasoning and Selection with Knowledge Summarization (IRSKS) is developed. This approach supports incomplete reasoning and heuristic search based on knowledge summarization. It can be divided into two phases: the off-line and the on-line processing. The off-line processing includes partitioning and summarization, and provides the basis for heuristic search. Partitioning makes one large-scale dataset become many small subsets (chunks). Summarization produces summaries that contain heuristic information (such as the location and major topics of each chunk) to build a bridge between the searching target and the partitioned large-scale dataset. Through the cues provided by summaries, a best search path can be found to locate the searching target. Along with the search path, the on-line processing includes interleaving reasoning and selection, which compose a dynamic searching process and support anytime behavior. In this way, the search space is greatly reduced and close to the searching target so that a good trade-off is achieved between the time and the quality of a query. Based on this approach, a prototype system named Knowledge Intensive Summarization System (KISS) has been developed and the evaluation with the KISS system on the PubMed dataset indicates that the proposed method is potentially effective for processing large-scale semantic data in the CyberPhysical Society.

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Section: Related Workmentioning

confidence: 99%

Interleaving Reasoning and Selection with Knowledge Summarization

Wang

Huang

Zeng

et al. 2011

2011 Seventh International Conference on Semantics, Knowledge and Grids

View full text Add to dashboard Cite

show abstract

“…Huang [3] proposed a new method measuring three coordinate based on single camera with auxiliary measuring stick, which takes advantage of collinear equation and the coordinate transformation to obtain the head point coordinates in the photogrammetric coordinate system. Hou [4]fixed the auxiliary pole in the digital camera using single camera to measure. Zhang [5]designed a single camera stereo vision system based on binoculars stereo model to measure 3D coordinates through two virtual cameras which constructed by two pieces of parallax image.…”

Section: Introductionmentioning

confidence: 99%

A New 3D Coordinates Acquisition Method on Base of Single Camera

Fan

Liu

et al. 2013

AMM

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As is known to us, conventional photogrammetry uses the double phase stereopair for forward intersection, but this paper proposed a new method for 3D coordinates acquisition based on single camera. Under the defined relationship of the object relative position, three-dimensional coordinates can be obtained by space resection through single photo. The principle of this method is simple but practical, especially suitable for measuring the overall mobile objects. Experiments show that within1500mm, plane normal direction is better than 0.02°in the measurement accuracy , and can replace stereopair measurement in certain conditions for its higher measurement accuracy.

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A conceptual model for text summarisation based on reader requirements

Hou

Chen

2014

Journal of Experimental & Theoretical Artificial Intelligen

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An automatic question answering and knowledge summarization approach for Q&A services

Cited by 4 publications

References 22 publications

Interleaving Reasoning and Selection with Knowledge Summarization

Interleaving Reasoning and Selection with Knowledge Summarization

A New 3D Coordinates Acquisition Method on Base of Single Camera

A conceptual model for text summarisation based on reader requirements

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