Automatic learning and extending evolution handling method for Chinese basic block descriptive rule

A technology of automatic learning and processing methods, applied in the fields of electronic digital data processing, special data processing applications, instruments, etc., can solve the problem of not further introducing external vocabulary knowledge base, limiting the room for improvement of rule description ability, and not involving different relationship combinations of vocabulary, etc. question

Inactive Publication Date: 2007-08-22
TSINGHUA UNIV
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Problems solved by technology

These research works have proved the important role of vocabulary and contextual knowledge in improving the ability to describe rules from different aspects, but the vocabulary knowledge they use is still limited to the vocabulary information at a specific position in t

Method used

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  • Automatic learning and extending evolution handling method for Chinese basic block descriptive rule
  • Automatic learning and extending evolution handling method for Chinese basic block descriptive rule
  • Automatic learning and extending evolution handling method for Chinese basic block descriptive rule

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Embodiment Construction

[0152] For ease of understanding, we further define the problem of automatic acquisition of basic block rules as follows:

[0153] Suppose we already have two large-scale language knowledge bases:

[0154] 1) Basic block annotation corpus: The words, parts of speech, and basic block description information are annotated for Chinese real text sentences. The following is an example of a specific basic block sentence annotation: [tp-ZX for a long time / t since / f], / w[np-SGhe / rN] for / p[vp-SG maintenance / v][np-ZX world / n peace / n] of / u[np-ZX lofty / a cause / n][vp-PO devoted / v hard work / n], / w[vp-ZX around / d running around / v], / w[vp- AD made / v made / u] [ap-SG excellence / a] of / u [np-SG contributed / v]. / w 1

[0155] 2) Vocabulary knowledge base: including lexical association pairs, characteristic verb lists, noun semantic classes and other lexical description information; the following gives an example of the description of vocabulary association pairs of predicate-object relati...

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Abstract

The invention relates to a method for automatically learning and extended evolution about the description rules of Chinese basic blocks, and its characteristics are as follow: it rapidly excludes the unreliable description rules of the different stages to greatly increase the processing efficiency for automatically accessing rules through introducing a confidence evaluation mechanism. It opens a learning environment and breaks the constraint of automatically enhance the learning capacity for lack of training corpus through the introduction of external knowledge of the rules of evolutionary learning process for different languages. It continually introduces additional internal and external linkages vocabulary context restrictions knowledge from the original series described marker rules to dynamic-devise the state space of positive and negative cases, so that it gradually evolves the structure rules to form a hierarchical, multi-block sized of basic rules description system.

Description

technical field [0001] The invention belongs to the technical field of natural language processing Background technique [0002] In recent years, statistical-based processing methods have become the mainstream technology in the field of natural language processing research. The basic processing process is: for a certain processing problem, first construct a tagged corpus, then use machine learning methods to train a suitable language model from it, and form a complete information description of the problem through the combination of different parameters, and finally, for similar For new problems, this automatically learned language model can be used to give more reliable automatic analysis results. The processing advantage of this method is that it can easily integrate various language resources, and quickly train a more suitable language knowledge calculation model. It has been widely used and achieved good processing effect. However, the readability of knowledge acquisi...

Claims

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Application Information

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IPC IPC(8): G06F17/27
Inventor 周强
Owner TSINGHUA UNIV
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