Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Edge intelligence empowered vehicle detection and image segmentation for autonomous vehicles
Edge intelligence (EI) migrates data and artificial intelligence (AI) to the “edge” of a network,
enhancing the high-bandwidth and low-latency of wireless data transmission with the …
enhancing the high-bandwidth and low-latency of wireless data transmission with the …
ASRNN: A recurrent neural network with an attention model for sequence labeling
Natural language processing (NLP) is useful for handling text and speech, and sequence
labeling plays an important role by automatically analyzing a sequence (text) to assign …
labeling plays an important role by automatically analyzing a sequence (text) to assign …
Modeling multi-turn conversation with deep utterance aggregation
Multi-turn conversation understanding is a major challenge for building intelligent dialogue
systems. This work focuses on retrieval-based response matching for multi-turn conversation …
systems. This work focuses on retrieval-based response matching for multi-turn conversation …
[PDF][PDF] Deep learning for Chinese word segmentation and POS tagging
This study explores the feasibility of performing Chinese word segmentation (CWS) and
POS tagging by deep learning. We try to avoid task-specific feature engineering, and use …
POS tagging by deep learning. We try to avoid task-specific feature engineering, and use …
Is word segmentation necessary for deep learning of Chinese representations?
Segmenting a chunk of text into words is usually the first step of processing Chinese text, but
its necessity has rarely been explored. In this paper, we ask the fundamental question of …
its necessity has rarely been explored. In this paper, we ask the fundamental question of …
Improving Chinese word segmentation with wordhood memory networks
Contextual features always play an important role in Chinese word segmentation (CWS).
Wordhood information, being one of the contextual features, is proved to be useful in many …
Wordhood information, being one of the contextual features, is proved to be useful in many …
Neural word segmentation learning for Chinese
Most previous approaches to Chinese word segmentation formalize this problem as a
character-based sequence labeling task where only contextual information within fixed sized …
character-based sequence labeling task where only contextual information within fixed sized …
Bi-directional LSTM recurrent neural network for Chinese word segmentation
Y Yao, Z Huang - … : 23rd International Conference, ICONIP 2016, Kyoto …, 2016 - Springer
Recurrent neural network (RNN) has been broadly applied to natural language process
(NLP) problems. This kind of neural network is designed for modeling sequential data and …
(NLP) problems. This kind of neural network is designed for modeling sequential data and …
Syntactic processing using the generalized perceptron and beam search
We study a range of syntactic processing tasks using a general statistical framework that
consists of a global linear model, trained by the generalized perceptron together with a …
consists of a global linear model, trained by the generalized perceptron together with a …
Sentimental feature selection for sentiment analysis of Chinese online reviews
L Zheng, H Wang, S Gao - International journal of machine learning and …, 2018 - Springer
With the growing availability and popularity of online reviews, the sentiment analysis arises
in response to the requirement of organizing useful information in speed. Feature selection …
in response to the requirement of organizing useful information in speed. Feature selection …