Đang chuẩn bị liên kết để tải về tài liệu:
Deep learning for semantic matching: A survey

Hải Nam 85 38 pdf

Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ Tải xuống

Semantic matching has received much attention in the database, AI, KDD, Web, and Semantic Web communities. Recently, many works have also applied deep learning (DL) to semantic matching. In this paper we survey this fast growing topic. We define the semantic matching problem, categorize its variations into a taxonomy, and describe important applications. We describe DL solutions for important variations of semantic matching. Finally, we discuss future R&D directions. |

TÀI LIỆU LIÊN QUAN

A deep learning model that detects the domain generated by the algorithm in the botnet

Ebook Neural network and deep learning: A textbook

On replacing pid controller with deep learning controller for DC motor system

Noisy image classification using hybrid deep learning methods

Structural damage detection using hybrid deep learning algorithm

Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma

A survey on spatial, temporal, and spatio-temporal database research and an original example of relevant applications using SQL ecosystem and deep learning

Improving named entity recognition in Vietnamese texts by a character-level deep lifelong learning model

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data

Parametric flatten T-swish: An adaptive nonlinear activation function for deep learning

Đã phát hiện trình chặn quảng cáo AdBlock

Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.