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In expository writing, a topic sentence is a sentence that summarizes the main idea of a paragraph. It is usually the first sentence in a paragraph. Also known as a focus sentence, it encapsulates or organizes an entire paragraph. Although topic sentences may appear anywhere in a paragraph, in academic essays they often appear at the beginning. The topic sentence acts as a kind of summary, and offers the reader an insightful view of the writer’s main ideas for the following paragraph. More than just being a mere summary, however, a topic sentence often provides a claim or an insight directly or indirectly related to the thesis. It adds cohesion to a paper and helps organize ideas both within the paragraph and the whole body of work at large. As the topic sentence encapsulates the idea of the paragraph, serving as a sub-thesis, it remains general enough to cover the support given in the body paragraph while being more direct than the thesis of the paper.
An essay off-topic detection method and system
ActiveCN113901202BDigital data information retrievalBiological modelsSubject matterQuestions and answers
The application provides an off-topic detection method and system for compositions. The method extracts key features of questions from topic sentence encoding by a neural network model, and extracts key features of answers from composition encoding. The key features of questions and answers are input into an attention mechanism layer, ensuring that the features input into the attention mechanism layer are key features, reducing interference caused by other useless features when the attention mechanism layer processes data, and improving the accuracy of data processing by the attention mechanism layer. On this basis, the attention mechanism layer determines the features of the topic sentence that the composition is concerned about, and the features of the composition that the topic sentence is concerned about, completing feature selection from two directions, ensuring the comprehensiveness of the selected features, enabling the neural network model to classify based on more comprehensive features, improving the accuracy of the classification result, and thereby improving the accuracy of the detection.
Owner:SHANGHAI LIULISHUO INFORMATION TECH CO LTD
Dialogue generation method and device based on multi-layer attention, equipment and medium
The application relates to an artificial intelligence technology and discloses a multi-layer attention-based dialogue generation method which can be used in the medical or financial fields, comprising the following steps: performing word segmentation on dialogue text to obtain a word segmentation sequence set; using a first encoder to encode the word segmentation sequence set to obtain a topic sentence vector set; using an attention mechanism to weight the topic sentence vector set to obtain a final sentence vector set; using a second encoder to perform fusion encoding on the final sentence vector set, calculating the similarity between a fusion vector and the topic sentence vector set, weighting and summing the topic sentence vector set according to the similarity to obtain an overall topic vector; using a self-attention mechanism to weight the final sentence vector set to obtain an attention vector set; and using a decoder to decode and splice the overall topic vector and the attention vector set to obtain an answer text. The application further discloses a multi-layer attention-based dialogue generation device, an electronic device and a storage medium. The application can improve the dialogue generation accuracy.
Owner:PING AN TECH (SHENZHEN) CO LTD