METHOD FOR TRAINING SEMANTIC ANALYSIS MODEL, DEVICE, ELECTRONIC APPARATUS, AND STORAGE MEDIUM

• Main Authors: LIU JIAXIANG, FENG SHIKUN
• Format: Patent
• Language: English; Japanese
• Published: 25.11.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

To provide a method for training a semantic analysis model, a device, an electronic apparatus, and a storage medium.SOLUTION: A method for training a semantic analysis model includes: obtaining training data of a plurality of groups, which training data of each group comprises a search word, information on at least one text obtained by searching for the search word, and at least one associated word corresponding to the text; constructing a graph model by using the training data, and determining target training data, from the training data of the plurality of groups on the basis of the graph model, the target training data comprising sample search words, sample information, and sample associated words; and training the semantic analysis model by using the sample search words, the sample information, and the sample associated words. The method is configured to be effectively applied to training data in a retrieval application scene and to enhance model representation effect of the semantic analysis model in the retrieval application scene.SELECTED DRAWING: Figure 1 【課題】意味解析モデルのトレーニング方法及び装置、電子機器並びに記憶媒体を提供する。【解決手段】各グループのトレーニングデータが検索語と、検索語を用いて検索して得られた少なくとも１つのテキストの情報と、テキストに対応する少なくとも１つの関連語とを含む複数グループのトレーニングデータを取得し、トレーニングデータを用いてグラフモデルを構築するとともに、グラフモデルに基づいて複数グループのトレーニングデータの中から、サンプル検索語、サンプル情報及びサンプル関連語を含む目標トレーニングデータを決定し、また、サンプル検索語、サンプル情報及びサンプル関連語を用いて意味解析モデルをトレーニングする。検索応用シーンにおけるトレーニングデータに効果的に適用し、検索応用シーンにおける意味解析モデルのモデル表現効果を向上させる。【選択図】図１