INFERENCE APPARATUS, INQUIRY REPLY APPARATUS, INTERACTIVE APPARATUS, AND INFERENCE METHOD

• Main Authors: MIZUNO JUNTA, JULIEN KLOETZER, IIDA RYU, OTAKE KIYOTAKA, TORISAWA KENTARO, OH JONG HOON
• Format: Patent
• Language: English; Japanese
• Published: 13.10.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

To provide an inference apparatus that can operate at a high speed and with a sufficient accuracy using few computational resources.SOLUTION: An inference apparatus 50 includes a first neural net 80 that outputs a vector representation of a first input, and a second neural net that outputs a vector representation of a second input, and when there is a predetermined relation between the vector representation of the first and second inputs using learning data of the first and second inputs which has a predetermined relation, causes the first and second neural nets to be learned so as to be located close to each other in a vector space, and clusters the vector representation which is an output of the learned second neural net. The inference apparatus 50 further includes a database 84 constructed in advance so as to enable retrieval extraction of clusters on the basis of the vector representation of the first input, and infers an output on the basis of information 88 of the clusters retrieved and extracted from the database 84 on the basis of the vector representation of the input by the first neural net 80 with respect to an input 60.SELECTED DRAWING: Figure 1 【課題】少ない計算資源により高速に、十分な精度をもって動作可能な推論装置を提供する。【解決手段】推論装置５０は、第１入力のベクトル表現を出力する第１ニューラルネット８０と、第２入力のベクトル表現を出力する第２ニューラルネットとを含み、所定の関係にある第１及び第２入力の学習データを用いて、第１及び第２入力のベクトル表現が所定の関係にある場合に、ベクトル空間において近接して位置するように第１及び第２ニューラルネットを学習させ、学習済みの第２ニューラルネットの出力であるベクトル表現をクラスタ化し、第１入力のベクトル表現に基づき、クラスタの検索抽出が可能なようにあらかじめ構築されたデータベース８４をさらに含み、入力６０に対して第１ニューラルネット８０による入力のベクトル表現に基づいてデータベース８４から検索抽出されたクラスタの情報８８に基づき出力を推論する。【選択図】図１