Siamese network

58 Tech

Jun 16, 2021 · Artificial Intelligence

Improving Text Matching Accuracy in Voice Assistants: Experiments with Siamese Networks, BERT Models, and Advanced Tricks

This article evaluates classic Siamese networks, various BERT‑based pretrained models, and several training tricks such as adversarial training, k‑fold cross‑validation, and model ensembling on both a public similarity‑sentence competition dataset and an internal voice‑assistant standard question matching dataset, ultimately raising accuracy from 97.23 % to 99.5 %.

BERTSiamese networkText Matching

0 likes · 15 min read

Improving Text Matching Accuracy in Voice Assistants: Experiments with Siamese Networks, BERT Models, and Advanced Tricks

JD Tech Talk

Oct 27, 2020 · Artificial Intelligence

Trajectory Identification Using a Spatio‑Temporal Siamese Network (ST‑SiameseNet)

This paper proposes a novel spatio‑temporal Siamese network that identifies whether GPS trajectories belong to the same driver, addressing data‑cost and scalability issues of existing methods and demonstrating superior accuracy and generalization on large‑scale taxi driver datasets.

Deep LearningGPS dataSiamese network

0 likes · 10 min read

Trajectory Identification Using a Spatio‑Temporal Siamese Network (ST‑SiameseNet)

Tencent Cloud Developer

Jan 21, 2020 · Artificial Intelligence

Cold-Start Short Video Potential Prediction Using Siamese Networks

The paper proposes a Siamese‑based PredictionNet that combines EfficientB3 image and VGGish audio features with user metrics to predict a HotValue score for newly uploaded short videos, using a margin loss with view‑value‑aware pair selection, enabling tiered cold‑start exposure that boosts overall platform efficiency.

Cold StartSiamese networkmachine learning

0 likes · 9 min read

Cold-Start Short Video Potential Prediction Using Siamese Networks

JD Tech Talk

Nov 15, 2019 · Artificial Intelligence

Legal Case Similarity Competition at CCL 2019: Dataset, Task Transformation, and Model Solutions

The article reviews the CCL “Chinese Law Research Cup” similarity competition, describing the legal text dataset, converting the triple‑sample task to a binary similarity problem, outlining challenges such as long documents, and summarizing the BERT‑based Siamese, InferSent, and triplet‑loss models that achieved top‑10 results.

BERTCCL 2019Siamese network

0 likes · 8 min read

Legal Case Similarity Competition at CCL 2019: Dataset, Task Transformation, and Model Solutions