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This paper presents a revised method for keyword search from handwritten digital ink in comparison with the previous system. We adopt a search method using noise reduction. Experiments on digital ink databases show that the revised method typically improves the systempsilas overall accuracy (f-measure) from 0.653 to
We introduce a question-answering system that responds to a keywords-query by extracting information from linked data and generating reports in natural language (NL). Using entity disambiguation and distributed word similarity, we matched each keyword to a related entity and property in linked data. To extract keyword
Web-based mapping applications such as Google Maps or Virtual Earth have become increasingly popular. However, current map search is still keyword-based and supports a limited number of spatial predicates. In this paper, we build towards a natural language query interface to spatial databases to answer crime-related
A high-performance FAQ retrieval system uses query-log clustering to resolve lexical-disagreement problems. The proposed system outperforms traditional information-retrieval systems in FAQ retrieval.
designed a full automated frame work which has an ability to identify Keyword, symbols, attributes, values and relations among different types of queries by applying an AI methodology. NoSQL Query is generated by using the query elements which are extracted through framework. Even there is no involvement of user normal
taken into account when indexing documents and when performing searching. Utilizing this approach, it is possible to use a natural language to express user queries. In many cases, this way is more usual for users to describe their information needs compared to the keyword style. The factoid question answering task is one
a word-dependent system using the Arabic isolated word /ns10 as10 cs10 as10 ms10//[unk]/ a single keyword for the test utterance. This choice has been made because the word /ns10 as10 cs10 as10 ms10//[unk]/ is mostly used by the Arabic speakers. Speech features are extracted using MFCC. The HTK is used to implement the
query text, which establishes a prototype system that contains three main steps-keywords extraction, keywords extension and SQL generation. The system implements the conversion from natural query language to database manipulation language (e.g. SQL), which greatly facilitates the users' query.
index for the predicate, and then extracts the relevant knowledge and information of predicate keywords. Finally, a certain amount of complex natural language sentences are converted into more instances with teaching values, which provide basic resources for international Chinese teaching.
the obtained domain dictionary, is used to segment the short text questions. From the segmentation results, the keywords are extracted to obtain query target and query requirement of the question and to generate a SQL statement for data query. The method proposed in this paper can be applied to question-answering system
introduce essential technologies enabling to inspect documents securely and to change specific keywords to normal words, in case that a higher security level document should be converted to a lower security level document.
dictionary, is used to segment the short text questions. From the segmentation results, the keywords are extracted to obtain query target and query requirement of the question and to generate a SQL statement for data query. The method proposed in this paper can be applied to question-answering system based on database.
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