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Type: Organization
Type: Organization
Datasets of the papers "Semi-supervised sentiment classification and emotion distribution learning across domains" published in TKDD'23 and "A constrained optimization approach for cross-domain emotion distribution learning" published in KBS'21.
Source code of the paper "Copula guided neural topic modelling for short texts" published in SIGIR'20.
Source code of the paper "A drug combination prediction framework based on graph convolutional network and heterogeneous information" published in TCBB'23.
Source code of the paper "Exploring robust overfitting for pre-trained language models" published in ACL'23 Findings.
Source code of the paper "Graph-based Dynamic Word Embeddings" published in IJCAI'22.
Source code of the paper "Graph-based relation mining for context-free out-of-vocabulary word embedding learning" published in ACL'23.
Source code of the paper "Lifelong Learning of Topics and Domain-Specific Word Embeddings" published in ACL'21 Findings.
Source code of the paper "Neural Mixed Counting Models for Dispersed Topic Discovery" published in ACL'20.
Source code of the paper "Nonparametric forest-structured neural topic modeling" published in COLING'22.
Source code of the paper "NMTF-LTM: Towards an alignment of semantics for lifelong topic modeling" published in TKDE'23.
Source code of the paper "Nonlinear structural equation model guided gaussian mixture hierarchical topic modeling" published in ACL'23.
Source code of the paper "Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference" published in ACL'21.
Source code of the paper "Chinese Word Embedding Learning with Limited Data" published in APWeb'21.
Source code of the paper "TADC: A Topic-Aware Dynamic Convolutional Neural Network for Aspect Extraction" published in TNNLS'23.
Source code of the paper "Target-specified sequence labeling with multi-head self-attention for target-oriented opinion words extraction" published in NAACL'21.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.