自然言語処理:Natural Language Processing

Similarity in global matching (3) Matching graph patterns by iterative computation

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Graph data matching calculations for ontology similarity extraction.

2021.08.14

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Reasoning Technology

Overview of inference techniques used in digital transformation (DX), artificial intelligence (AI), machine learning (ML), etc.

2021.07.25

アルゴリズム:Algorithmsセマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning自然言語処理:Natural Language Processing

Similarity in global matching (2) Similarity of Mereological Graph Patterns

Natural Language Similarity for Digital Transformation (DX), Artificial Intelligence (AI), and Machine Learning (ML) Applications. Similarity evaluation of ontologies by relational pattern matching.

2021.07.15

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Similarity in global matching (1) Overview

Similarity of natural language for the use of digital transformation (DX), artificial intelligence (AI), and machine learning (ML), and similarity of ontology as matching of graph patterns.

2021.07.14

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Basic Similarity(5) Data Expansion Techniques

Natural Language Similarity for Digital Transformation (DX), Artificial Intelligence (ML), Machine Learning (ML). Similarity for ontology matching using an extended data approach.

2021.07.13

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Basic Similarity (4) Internal structure-based approach

Similarity estimation of natural language for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications based on data types and domain elements.

2021.07.12

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Basic Similarity(3) A language-based approach

Linguistic approaches to natural language similarity assessment that can be used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML), including multilingual support.

2021.07.09

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning自然言語処理:Natural Language Processing

Basic Similarity (2) String-based approach

Summary of various methods for structuring raw text as a basis for natural language processing for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications, normalization techniques, substring handling, edit distance, token-based Distance and path comparison

2021.07.08

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Basic Similarity (1) Overview

Definition and overview of natural language similarity, which is important when applying digital transformation (DX), artificial intelligence (AI), and machine learning (ML), based on ontology matching

2021.07.07

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning自然言語処理:Natural Language Processing

one hot vector and category vector with Clojure

Implementation of one-hot-vector and category-vector in Clojure for machine learning applications in natural language processing

2021.06.15

Clojure機械学習:Machine Learning自然言語処理:Natural Language Processing