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PL
Mieszkańcy, przypadkowi przechodnie, turyści oraz stali bywalcy określonej przestrzeni stają się odbiorcami mniej lub bardziej udanych „dzieł sztuki”.
EN
This paper presents the development of a grammar and a syntactic parser for the Vietnamese language. We first discuss the construction of a lexicalized tree-adjoining grammar using an automatic extraction approach. We then present the construction and evaluation of a deep syntactic parser based on the extracted grammar. This is a complete system that produces syntactic structures for Vietnamese sentences. A dependency annotation scheme for Vietnamese and an algorithm for extracting dependency structures from derivation trees are also proposed. This is the first Vietnamese parsing system capable of producing both constituency and dependency analyses. It offers encouraging performance: accuracy of 69.33% and 73.21% for constituency and dependency analysis, respectively.
EN
Effective analysis of structured documents may decide on management information systems performance. In the paper, an adaptive method of information extraction from structured text documents is considered. We assume that documents belong to thematic groups and that required set of information may be determined ”apriori”. The knowledge of document structure allows to indicate blocks, where certain information is more probable to appear. As the result structured data, which can be further analysed are obtained. The proposed solution uses dictionaries and flexion analysis, and may be applied to Polish texts. The presented approach can be used for information extraction from official letters, information sheets and product specifications.
EN
Nowadays, it is common to find on the Internet different conversational robots which interact with users simulating a natural language conversation. Among them, we can emphasize the chatterbots based on AIML language. In this paper we present an AIML based chatterbot that shows as its main contribution the use of tags and folksonomies. Thanks to its use, we can generate a context for each conversation, being able to maintain a state for each user in the system, and improving the adaptation capabilities of the bot.
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