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yraogroup's Projects

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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.

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Source code of the paper "Copula guided neural topic modelling for short texts" published in SIGIR'20.

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Source code of the paper "A drug combination prediction framework based on graph convolutional network and heterogeneous information" published in TCBB'23.

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Source code of the paper "Exploring robust overfitting for pre-trained language models" published in ACL'23 Findings.

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Source code of the paper "Graph-based Dynamic Word Embeddings" published in IJCAI'22.

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Source code of the paper "Graph-based relation mining for context-free out-of-vocabulary word embedding learning" published in ACL'23.

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Source code of the paper "Lifelong Learning of Topics and Domain-Specific Word Embeddings" published in ACL'21 Findings.

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Source code of the paper "Neural Mixed Counting Models for Dispersed Topic Discovery" published in ACL'20.

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Source code of the paper "Nonparametric forest-structured neural topic modeling" published in COLING'22.

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Source code of the paper "NMTF-LTM: Towards an alignment of semantics for lifelong topic modeling" published in TKDE'23.

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Source code of the paper "Nonlinear structural equation model guided gaussian mixture hierarchical topic modeling" published in ACL'23.

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Source code of the paper "Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference" published in ACL'21.

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Source code of the paper "Chinese Word Embedding Learning with Limited Data" published in APWeb'21.

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Source code of the paper "TADC: A Topic-Aware Dynamic Convolutional Neural Network for Aspect Extraction" published in TNNLS'23.

tsmsa icon tsmsa

Source code of the paper "Target-specified sequence labeling with multi-head self-attention for target-oriented opinion words extraction" published in NAACL'21.

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