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Chapter and Conference Paper
Domain Specific Pre-training Methods for Traditional Chinese Medicine Prescription Recommendation
Traditional Chinese Medicine (TCM) is an important constituent of medical treatment. During the development history of TCM, there have been a large number of medical records accumulated, which embody the exper...
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Chapter and Conference Paper
Unsupervised Traditional Chinese Herb Mention Normalization via Robustness-Promotion Oriented Self-supervised Training
Herbal prescriptions are a vital aspect of Traditional Chinese Medicine (TCM) treatment. The textual representations of herbs can vary significantly across various TCM documents and records. To enhance the uti...
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Chapter and Conference Paper
A Study on the Recovery of Omitted Constituents in Chinese Elliptical Sentences
Rule-based processing of an elliptical sentence corpus and the construction of a dataset is the basis for various elliptical recovery tasks. We clarify the scope of Chinese elliptical sentences from a linguist...
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Chapter and Conference Paper
Semantic Dependency Analysis of Special Sentence Patterns in Ancient Chinese
With the development of natural language processing, automatic semantic analysis has attracted more and more attention. This research delineates the semantic dependency labeling rules of several kinds of speci...
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Chapter and Conference Paper
CHED: A Cross-Historical Dataset with a Logical Event Schema for Classical Chinese Event Detection
Event detection (ED) is a crucial area of natural language processing that automates the extraction of specific event types from large-scale text, and studying historical ED in classical Chinese texts helps pr...
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Chapter and Conference Paper
Exploring Accurate and Generic Simile Knowledge from Pre-trained Language Models
A simile is an important linguistic phenomenon in daily communication and an important task in natural language processing (NLP). In recent years, pre-trained language models (PLMs) have achieved great success...
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Chapter
The Construction of a Chinese Semantic Dependency Graph Bank
Semantic dependency parsing is a deep semantic analysis task based on large-scale and canonically annotated corpora. This chapter will present a new Chinese semantic dependency scheme using solid linguistic kn...
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Article
Removal of Cu2+ in Aqueous Solution with Nano-zero-Valent Iron (nZVI) Supported by Alkali-Modified Sludge Biochar
In this study, an efficient nano-zero-valent iron supported by alkali-modified sludge biochar (nZVI@NaOH-SBC) composites were synthesized by a liquid-phase reduction method for Cu2+ removal. The preparation condi...
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Article
Context-dependent tumor-suppressive BMP signaling in diffuse intrinsic pontine glioma regulates stemness through epigenetic regulation of CXXC5
The most lethal subtype of diffuse intrinsic pontine glioma (DIPG) is H3K27M. Although ACVR1 mutations have been implicated in the pathogenesis of this currently incurable disease, the impacts of bone morphogenet...
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Chapter and Conference Paper
MCER: A Multi-domain Dataset for Sentence-Level Chinese Ellipsis Resolution
Ellipsis is a cross-linguistic phenomenon which can be commonly seen in Chinese. Although eliding some of the elements in the sentence that could be understood from the context makes no difference for human be...
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Article
Multi-omics analysis of intertumoral heterogeneity within medulloblastoma uncharted-pathway subtypes
Medulloblastoma is a common pediatric malignant brain tumor. There were four consensus molecular subgroups (WNT, SHH, Group3 and Group4). Group 3 and Group 4 tumors exhibited a great degree of transcriptional ...
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Chapter and Conference Paper
Multi-task Learning Neural Networks for Comparative Elements Extraction
Comparative sentences are common in human languages. In online comments, a comparative sentence usually contains the subjective attitude or emotional tendency of a reviewer. Hence, comparative elements extract...
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Chapter and Conference Paper
Construction of a General Lexical-Semantic Knowledge Graph
One of the main factors that restricts the performance of deep learning models is the lack of exogenous knowledge, which makes the model fail to understand the lexical semantic relationships in real situations...
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Chapter and Conference Paper
Improving Text Matching with Semantic Dependency Graph via Message Passing Neural Network
Text matching is a core natural language processing research problem. Deep semantic alignment and comparison between two text sequences lie in the core of text matching. While the attention-based model achieve...
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Chapter and Conference Paper
Chinese Verb-Object Collocation Knowledge Graph Construction and Application
Verb is the core of a sentence. It can not only reflect the syntactic structure and semantic framework of the whole sentence, but also restrict the nominal elements which co-exist with them. They play a signif...
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Chapter and Conference Paper
Building Semantic Dependency Knowledge Graph Based on HowNet
This paper introduces a method of constructing a semantic dependency knowledge graph (SDKG) by using the rich semantic knowledge in HowNet. The establishment of SDKG depends on correspondence between the lexic...
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Chapter and Conference Paper
Semantic-Aware Chinese Zero Pronoun Resolution with Pre-trained Semantic Dependency Parser
Deep learning-based Chinese zero pronoun resolution model has achieved better performance than traditional machine learning-based model. However, the existing work related to Chinese zero pronoun resolution ha...
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Chapter and Conference Paper
Difference and Analysis Between the Structures of “Shai(
) + NP” and “**u(
) + NP”
With the popularity of phrases such as “shai( ) + (happiness)” and “xiu( ) + (loves)”, more and more nouns or noun phrases are coming into the structures of “shai( )...
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Article
Open AccessSCALE method for single-cell ATAC-seq analysis via latent feature extraction
Single-cell ATAC-seq (scATAC-seq) profiles the chromatin accessibility landscape at single cell level, thus revealing cell-to-cell variability in gene regulation. However, the high dimensionality and sparsity ...
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Article
Multivalent m6A motifs promote phase separation of YTHDF proteins
