Information processing method and electronic device
An information processing method and technology of electronic equipment, applied in the field of information, can solve problems such as difficulty in user understanding, inconsistency with user understanding, and poor user experience, so as to reduce misunderstandings, improve user experience and equipment performance, reduce Understanding the effect of difficulty
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example 1
[0137] Such as Figure 4 As shown, this example proposes a method and device for text generation based on SPO constrained self-encoding neural network, which mainly includes the following steps:
[0138] Step 1: Training Corpus Preparation
[0139] Step 1.1: Collect text corpus, the text corpus can be the aforementioned sample sentences, and the corresponding text corpus can be collected according to application scenarios. For example, for scenarios in the pharmaceutical industry, relevant question-and-answer texts can be crawled on some medical question-and-answer websites as text corpus. The text collected in this example is expected to consist of one or more natural sentences satisfying grammatical rules.
[0140] Step 1.2: Preprocessing the text corpus, the preprocessing of the text corpus may include:
[0141] Split the text corpus into individual natural sentences;
[0142] Preprocessing natural sentences mainly includes: performing word segmentation operations on na...
example 2
[0150] Based on example 1, this example provides a training corpus preparation for further detailed description, which may include:
[0151] In step 1.2, the natural sentence is preprocessed, such as Figure 5 shown, may include:
[0152] corpus collection;
[0153] Sentence splitting, splitting large sections of corpus into natural sentences;
[0154] participle of natural sentences,
[0155] Encoding of words, for example, using one-hot encoding, converting the vector formed by one-hot encoding into a word vector corresponding to the aforementioned first vector through vector conversion;
[0156] Extraction of SPO.
[0157] The word segmentation of the natural sentence may include:
[0158] Segment each natural sentence through statistical learning or dictionary matching and other word segmentation algorithms to obtain the word sequence corresponding to each natural sentence, and then deduplicate and summarize the words in all word sequences to obtain the word corpus se...
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