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Text-based event detection method and device, computer equipment and storage medium

An event detection and event technology, applied in unstructured text data retrieval, neural learning methods, text database query, etc., can solve the problems of bottlenecks in model training efficiency and training accuracy, and low detection efficiency and accuracy. To achieve the effect of saving data preparation time, improving efficiency and improving accuracy

Active Publication Date: 2019-08-30
TSINGHUA UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the solutions in related technologies require manual labeling of training data, and there are bottlenecks in the training efficiency and accuracy of the model, resulting in low efficiency and accuracy of text-based event detection

Method used

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  • Text-based event detection method and device, computer equipment and storage medium
  • Text-based event detection method and device, computer equipment and storage medium
  • Text-based event detection method and device, computer equipment and storage medium

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Embodiment Construction

[0074] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0075] This application proposes a text-based event detection scheme, which can quickly and accurately obtain credible event instances from automatically marked event instances through adversarial training, thereby achieving efficient and high-accuracy event detection. For ease of understanding, several terms involved in the embodiments of the present application are explained below.

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Abstract

The invention relates to a text-based event detection method. The method comprises the steps that a first data set and a second data set which respectively comprise event instances are acquired, the first data set comprises default trusted event instances, and the second data set comprises default untrusted event instances; and an adversarial network is trained through the first data set and the second data set, and a credible event instance in the second data set is obtained through the trained adversarial network. According to the scheme, a first data set of default credible event instancesis included; and a second data set comprising default untrusted event instances, a generator and a discriminator are trained in the adversarial network; the trained discriminator can accurately discriminate whether the event instance in the second data set is credible or not, the data preparation time is saved, the text-based event detection efficiency is improved, the noise data in the second data set can be accurately eliminated, and the event detection accuracy is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of natural language processing, and in particular to a text-based event detection method, device, computer equipment, and storage medium. Background technique [0002] Text-based event detection is an important subtask of event extraction, which is of great significance for various downstream natural language processing applications, such as question answering, information retrieval, and reading comprehension. [0003] In related art, text-based event detection can be realized by convolutional neural network. For example, training data is obtained in advance through manual labeling. In addition to text (such as a complete sentence), the training data also includes trigger words marked by humans in the text and events corresponding to trigger words; The training data performs machine learning training on the convolutional neural network, and processes the unlabeled text through th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06N3/04G06N3/08
CPCG06F16/3346G06N3/08G06N3/044G06N3/045G06N3/047G06N3/088
Inventor 王晓智刘知远韩旭孙茂松李鹏周杰
Owner TSINGHUA UNIV
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