Beijing Youzhuju Network Technology Co., Ltd.

Jiaze Chen

Lei Li

Hao Zhou

Jiangtao Feng

Han Li

Yunbo Chen

Zhiyuan Zeng

Guanhua Huang

A text processing method includes the steps described below. Multiple texts in a preset text database are acquired, and at least one keyword is extracted from each text. Based on each keyword which is extracted, a keyword table is established. A mapping relationship between each keyword and a phrase element in a phrase set corresponding to a text in which each keyword is located is the same as a mapping relationship between the text in which each keyword is located and the phrase element in the corresponding phrase set. A keyword pair having an association relationship is determined in the keyword table. A phrase element in a phrase set corresponding to each keyword in the keyword pair are updated. According to a mapping relationship between each keyword and phrase elements in an updated phrase set, a relationship chart between a keyword and a phrase is established.

Text processing method and apparatus, device, and medium

A method of consistency detection of a document and an abstract is proposed. The method includes determining a first sample and first annotation information, the first annotation information indicating that a first abstract and a first document included in the first sample are inconsistent, at least one of a plurality of text elements in the first abstract being labeled as inconsistent with the first document; generating a first adversarial sample by applying interference information to the first sample, the interference information being applied to the first sample and other text elements in the first abstract except for the at least one text element; and training, at least based on the first sample, the first adversarial sample, and the first annotation information, a consistency detection model according to a training objective. The obtained trained model can better detect and track a part of the abstract that are inconsistent with the document.

Method, device, and medium for consistency detection of a document and an abstract

Embodiments of the present disclosure relate to a method, an apparatus, an electronic device and a medium for event extraction. The method comprises: extracting a plurality of named entities from a document as a plurality of event arguments. The method further includes determining an event type and a template corresponding to the event type in the document. The method also includes filling the plurality of event arguments in respective locations in the template to generate a plurality of candidate event records, and filtering the plurality of candidate event records to obtain one or more target event record. In this way, respective candidate event records are generated through iteration while event extraction is performed at a document level, which can avoid performance fluctuations caused by manual selection of an event role generation sequence, and can also avoid under-fitting brought about by parallel generation to thus improve the event extraction accuracy.

Method, apparatus, electronic device and medium for event extraction

Provided are an advertisement title rewriting method, apparatus and device and a storage medium. The method includes steps described below. Preset information in an advertisement title is replaced with a corresponding placeholder so that the advertisement title is converted into a title template; a rewritten title template is generated through a preset neural network model according to the title template, an advertisement attribute key-value table and a query cluster; and the placeholder in the rewritten title template is replaced with the corresponding preset information so that the rewritten title template is converted into a rewritten title.

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Beijing, China

Jiaze Chen