50 Result(s)
within
**long Bao
Computer Science
-
Article
The image and ground truth dataset of Mongolian movable-type newspapers for text recognition
OCR approaches have been widely advanced in recent years thanks to the resurgence of deep learning. However, to the best of our knowledge, there is little work on Mongolian movable-type document recognition. O...
-
Chapter and Conference Paper
Few-Shot Table-to-Text Generation with Structural Bias Attention
Table-to-text generation task refers to converting tabular data into language text to facilitate easier understanding and analysis of the table. Recently, pre-trained models have made significant advancements ...
-
Chapter and Conference Paper
Enhancing Rule Learning on Knowledge Graphs Through Joint Ontology and Instance Guidance
Rule learning is a machine learning method that extracts implicit rules and patterns from data, enabling symbol-based reasoning in artificial intelligence. Unlike data-driven approaches such as deep learning, ...
-
Chapter and Conference Paper
MnTTS2: An Open-Source Multi-speaker Mongolian Text-to-Speech Synthesis Dataset
Text-to-Speech (TTS) synthesis for low-resource languages is an attractive research issue in academia and industry nowadays. Mongolian is the official language of the Inner Mongolia Autonomous Region and a rep...
-
Chapter and Conference Paper
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion
Cyrillic and Traditional Mongolian are the two main members of the Mongolian writing system. The Cyrillic-Traditional Mongolian Bidirectional Conversion (CTMBC) task includes two conversion processes, includin...
-
Chapter and Conference Paper
TableSF: A Structural Bias Framework for Table-To-Text Generation
Table-to-text generation is to generate a description from the tabular data. Existing methods typically encoded table content in a fixed order and relied heavily on the table row or column sequence. They gener...
-
Chapter and Conference Paper
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Video super-resolution is one of the most popular tasks on mobile devices, being widely used for an automatic improvement of low-bitrate and low-resolution video streams. While numerous solutions have been pro...
-
Chapter and Conference Paper
End-to-End Large-Scale Image Retrieval Network with Convolution and Vision Transformers
There has been significant progress in content-based image retrieval with the development of convolutional neural networks and visual transformers. However, there are semantic gaps between high-level semantic ...
-
Chapter and Conference Paper
On Verification of Smart Contracts via Model Checking
Combined with smart contracts, the application of blockchain techniques has grown faster and broader. However, it is very difficult to write secure and functionally correct smart contracts because of the openn...
-
Chapter and Conference Paper
Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain
Mongolian question answer matching task is challenging, since Mongolian is a kind of low-resource language and its complex morphological structures lead to data sparsity. In this work, we propose an Interactiv...
-
Chapter and Conference Paper
A Capacitive Flexible Tactile Sensor
In this paper, a capacitive flexible tactile sensor was designed to measure the pressure of objects based on MEMS technology. This sensor is a structure of a 4 × 4 array, with metal Ag as the capacitive electr...
-
Chapter and Conference Paper
Soft-BAC: Soft Bidirectional Alignment Cost for End-to-End Automatic Speech Recognition
Connectionist temporal classification (CTC) has gained success in both end-to-end ASR model and as an auxiliary task for attention-based sequence-to-sequence (S2S) system. However, the special topological stru...
-
Chapter and Conference Paper
A Flexible Film Thermocouple Temperature Sensor
This article introduces a thin-film thermocouple temperature sensor with symmetrical electrode structure. It uses PI film as a flexible substrate. Cu film and CuNi film made by MEMS manufacturing process as p...
-
Chapter and Conference Paper
Panoptic-DLA: Document Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model
In this paper, we introduce a novel historical newspaper layout analysis model named Panoptic-DLA. Different from the previous works regarding layout analysis as a separate object detection or semantic segment...
-
Chapter and Conference Paper
MTNER: A Corpus for Mongolian Tourism Named Entity Recognition
Name Entity Recognition is the essential tool for machine translation. Traditional Named Entity Recognition focuses on the person, location and organization names. However, there is still a lack of data to ide...
-
Chapter and Conference Paper
Mongolian Questions Classification Based on Multi-Head Attention
Question classification is a crucial subtask in question answering system. Mongolian is a kind of few resource language. It lacks public labeled corpus. And the complex morphological structure of Mongolian voc...
-
Chapter and Conference Paper
Infrared Small Target Recognition with Improved Particle Filtering Based on Feature Fusion
Aiming at the problem of tracking weak targets in different scenarios, an improved particle tracking method is proposed. This paper firstly uses background prediction and extracts the gray and motion features ...
-
Article
Learning Morpheme Representation for Mongolian Named Entity Recognition
Traditional approaches to Mongolian named entity recognition heavily rely on the feature engineering. Even worse, the complex morphological structure of Mongolian words made the data more sparsity. To alleviat...
-
Chapter and Conference Paper
An Attention-Based Approach for Mongolian News Named Entity Recognition
In the field of Natural Language Processing (NLP) of Mongolian, Named Entity Recognition (NER) has great significance. The traditional model is to use the Conditional Random Field (CRF) and Long-Short Term Mod...
-
Chapter and Conference Paper
Research on Khalkha Dialect Mongolian Speech Recognition Acoustic Model Based on Weight Transfer
Due to the lack of labeled training data, the performance of acoustic models in low-resource speech recognition systems such as Khalkha dialect Mongolian is poor. Transfer Learning can solve the data-sparse pr...
