Yuexian Hou
6 papers in the PaperMetrix corpus
Papers by this author
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An Interpretable Regularization Method Based on Minimizing Mutual Information
2021
Deep learning model is popular and widely used. Its generalization performance is superior to traditional machine learning methods. Traditional statistical learning theory cannot explain its success. Most of network architectures are designed artificially and empirically. …
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PHARN: A Probabilistic Graph Model Based Hierarchical Affective Reasoning Network for Conversational Sentiment Analysis
2021
Conversational Sentiment analysis (CSA) is an import task in the text sentiment analysis filed, which aims to predict the sentiment sequence corresponding to the sentence sequence in the conversation. Recently, many researchers have proposed deep …
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Aligning Recommendation and Conversation via Dual Imitation
2022
Human conversations of recommendation naturally involve the shift of interests which can align the recommendation actions and conversation process to make accurate recommendations with rich explanations. However, existing conversational recommendation systems (CRS) ignore the advantage …
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High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation
2024 · Research Square
Abstract The sequential recommendation task based on the multi-interest framework aims to model multiple interests of users from different aspects to predict their future interactions. However, researchers rarely consider the differences in features between the …
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MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space
2024
Personalized Dialogue Generation (PDG) aims to create coherent responses according to roles or personas.Traditional PDG relies on external role data, which can be scarce and raise privacy concerns.Approaches address these issues by extracting role information …
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Cognitive Mirroring for DocRE: A Self-Supervised Iterative Reflection Framework with Triplet-Centric Explicit and Implicit Feedback
2025
Large language models (LLMs) have advanced document-level relation extraction (DocRE), but DocRE is more complex than sentencelevel relation extraction (SentRE), facing challenges like diverse relation types, coreference resolution and long-distance dependencies.Traditional pipeline methods, which detect …