14 Result(s)
within
YuJie Zhang
Computer Science
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
BoundEst: Estimating Join Cardinalities with Tight Upper Bounds
Cardinality estimation is a critical component of query optimization. Despite extensive research, achieving efficient and accurate estimation for join queries remains challenging. Estimating tight upper bounds...
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Article
Heterogeneous data fusion and loss function design for tooth point cloud segmentation
Tooth point cloud segmentation plays an important role in the digital dentistry, and has received much attention in the past decade. Recently, methods based on the graph neural network have made significant pr...
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Chapter and Conference Paper
Explore Coarse-Grained Structures for Syntactically Controllable Paraphrase Generation
Syntactically controlled paraphrase generation can produce diverse paraphrases by exposing syntactic control, where both semantic preservation and syntactic variations are two important factors. Previous works...
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Chapter and Conference Paper
A Joint Model for Graph-Based Chinese Dependency Parsing
In Chinese dependency parsing, the joint model of word segmentation, POS tagging and dependency parsing has become the mainstream framework because it can eliminate error propagation and share knowledge, where...
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Chapter and Conference Paper
Attention-Based Gated Convolutional Neural Networks for Distant Supervised Relation Extraction
Distant supervision is an effective method to generate large-scale labeled data for relation extraction without expensive manual annotation, but it inevitably suffers from the wrong labeling problem, which wou...
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Chapter and Conference Paper
Syntax-Aware Attention for Natural Language Inference with Phrase-Level Matching
Natural language inference (NLI) aims to predict whether a premise sentence can infer another hypothesis sentence. Models based on tree structures have shown promising results on this task, but the performance...
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Chapter and Conference Paper
A Top-Down Model for Character-Level Chinese Dependency Parsing
This paper proposes a novel transition-based algorithm for character-level Chinese dependency parsing that straightforwardly models the dependency tree in a top-down manner. Based on the stack-pointer parser, ...
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Chapter and Conference Paper
Improved Character-Based Chinese Dependency Parsing by Using Stack-Tree LSTM
Almost all the state-of-the-art methods for Character-based Chinese dependency parsing ignore the complete dependency subtree information built during the parsing process, which is crucial for parsing the rest...
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Chapter and Conference Paper
Attention-Based Convolutional Neural Networks for Chinese Relation Extraction
Relation extraction is an important part of many information extraction systems that mines structured facts from texts. Recently, deep learning has achieved good results in relation extraction. Attention mecha...
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Chapter and Conference Paper
Addressing Domain Adaptation for Chinese Word Segmentation with Instances-Based Transfer Learning
Recent studies have shown effectiveness in using neural networks for Chinese Word Segmentation (CWS). However, these models, constrained by the domain and size of the training corpus, do not work well in domai...
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Chapter and Conference Paper
Design of Face Detection System Based on FPGA
To solve the real-time problem of face detection, considering the realization bottleneck of AdaBoost pure software algorithm, FPGA-based hardware acceleration platform strategy is proposed. The paper analyzes ...
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Chapter and Conference Paper
A Parallel Algorithm for Finding Related Pages in the Web by Using Segmented Link Structures
In this paper, a simple but powerful algorithm: block co-citation algorithm is proposed to automatically find related pages for a given web page, by using HTML segmentation technologies and parallel hyperlink ...
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Chapter and Conference Paper
Acquiring Translational Equivalence from a Japanese-Chinese Parallel Corpus
This paper presents our work on acquiring translational equivalence from a Japanese-Chinese parallel corpus. We follow and extend existing word alignment techniques, including statistical model and heuristic m...
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Chapter and Conference Paper
Chinese Chunking with Tri-training Learning
This paper presents a practical tri-training method for Chinese chunking using a small amount of labeled training data and a much larger pool of unlabeled data. We propose a novel selection method for tri-trai...
