TAILIEUCHUNG - Extracting answer in Qa system: Learning based

The method involves querying a search engine for web passages that contain the answer to the question, extracting patterns that characterize fine-grained classification for answers. Independent evaluation on a set of questions shows that the proposed approach outperforms a naive keyword based approach. | ISSN:2249-5789 Megha Mishra et al , International Journal of Computer Science & Communication Networks,Vol 2(3), 436-440 Extracting Answer in QA System: Learning Based Megha Mishra1, Vishnu Kumar Mishra2, . Sharma3 1 Research Scholar SOA University 2 Asstt. Professor, BIT Durg 3 Dean R&D, RECT Raipur 1 megha16shukla@ vshn _mshr@ 3 hrsharmaji@ 2 to handling question analysis for QA systems. In our approach, training-data questions are first analyzed and classified into a set of fine-grained categories of question patterns. Then, the relationships between the question patterns and n-grams in answer passages are discovered by employing a word alignment technique. Finally, the best query transforms are derived by ranking the n-grams which are associated with a specific question pattern. At runtime, the keywords in a given question are extracted and the question is categorized. Then the keywords are expanded according the category of the question. The expanded query is the submitted to a search engine in order to bias the search engine to return passages that are more likely to contain answers to the question. Experimental results indicate the expanded query indeed outperforms the approach of directly using the keywords in the question. Abstract— Converting questions to effective queries is crucial to open-domain question answering systems. In this paper, we present a web-based unsupervised learning approach for transforming a given natural-language question to an effective query. The method involves querying a search engine for web passages that contain the answer to the question, extracting patterns that characterize fine-grained classification for answers. Independent evaluation on a set of questions shows that the proposed approach outperforms a naive keyword based approach. Keywords— Question Answering, Machine Learning, Query Retrieval. I. INTRODUCTION An automated question answering (QA) system receives a user‘s .

• Kỹ thuật lập trình
• International Journal of Computer Science & Communication Networks
• Extracting answer in Qa system
• The proposed approach outperforms a naive keyword
• Characterize fine grained classification
• Characterize fine grained classification
• Natural language question
• Distributed security system for mobile ad hoc computer networks
• Distributed security system
• Ad hoc computer networks
• The Blackhole attack
• Interactive multicast framework between wireless mesh networks and internet
• Interactive multicast framework
• Wireless mesh networks and internet
• The two networks
• Wireless mesh networks
• International Journal of Computer Science and Communication Networks
• Regeneration of ZVS converter with resonant inductor
• ZVS converter with resonant inductor
• Linear resonant inductor
• The design of a clamping circuit
• Multilayer coding mechanisms for broadcasting over mimo networks
• Multilayer coding mechanisms
• Broadcasting over mimo networks
• MultipleInput Multiple Output
• A robusat and efficient data transmission in adhoc networks
• Efficient data transmission in adhoc networks
• Efficient data access
• Simulation results reveal
• Self directed reconfigurable ADHOC networks
• Self directed reconfigurable
• Multi hop wireless mesh networks
• Frequent link failures
• QOS aware location anonymization mechanism for wireless sensor networks
• Wireless sensor networks
• The location privacy
• Challenges and issues in wireless sensor networks
• Intelligent transportation system
• Intelligent Transportation Systems technologies
• Various energy efficeint protocols for wireless sensor networks
• Various energy efficeint protocols
• Defence state of the art evaluation occurs organisation
• Energy occupancy in wireless sensor networks
• Contemporary technology for providing energy
• Charge multiple detector nodes in wireless manner
• TDOA computation using multicarrier modulation
• Multicarrier modulation for sensor networks
• Signal to Noise
• Centralised and DeCentralised methods
• OFDM for Sensor Networks
• The dynamic buffer sizing strategies
• 802
• 11 based wireless networks
• The bandwidth delay product
• Dynamic buffer sizing algorithms
• 11 wireless networks
• Attacks in mobile adhoc networks
• Various types of attacks in MANETs
• The network performance
• Mobile Ad hoc Networks
• Communication Approach towards domain name system for improving security
• Approach towards domain name system
• Domain name system
• TCP based rather than UDP
• Developments in indoor optical fiber wireless networks
• Cost effective indoor optical wireless systems
• Future high performance
• Types of Optical Wireless links
• Performance analysis of ARQ mechanism in wimax networks
• Performance analysis of ARQ mechanism
• Metrics like throughput
• Delay and jitter
• Performance study of bandwidth request mechanisms
• IEEE 802
• 16e networks
• Quality of service
• Bandwidth request grant scheme
• Medium access control
• Energy aware routing protocol
• Delay sensitive applications
• Energy Aware DSR
• EADSR protocol out performs DSR protoco
• Adapting sip protocol to Ad hoc networks
• Virtual Network for SIP
• Illustration and evaluation of performance
• Efficient cross layer congestion control adaptive routing protocol
• Adaptive routing protocol
• Mobile ad hoc networks in constrained environment
• Dynamic packet reservation multiple access protocol
• Speech transmission wireless adhoc networks
• The PRMA protocol for digital speech transmission
• Modeling protein interaction networks
• Monotonic answer set programming
• Describe a particular case
• General LASP frame work
• Supporting efficient and dynamic multicasting
• Multiple regions in mobile ad hoc networks
• Multiple regions in mobile
• Novel Efficient Geographic Multicast Protocol
• A survey on routing protocols
• Underwater sensor networks
• Entire underwater wireless sensor network
• High bit error rates
• Limited band width
• Oil well monitoring and control
• Wireless sensor networks using atmega 2560 controller
• Atmega 2560 controller
• Manual control system