Search Results for author:
Found 6 papers, 3 papers with code
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation
To the end, in this paper, we propose a novel model named Multi-level Sequence Denoising with Cross-signal Contrastive Learning (MSDCCL) for sequential recommendation.
An Iterative Associative Memory Model for Empathetic Response Generation
Empathetic response generation is to comprehend the cognitive and emotional states in dialogue utterances and generate proper responses.
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
Based on dynamic emotion-semantic vectors and dependency trees, we propose a dynamic correlation graph convolutional network to guide the model in learning context meanings in dialogue and generating empathetic responses.
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs.
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents
In this context, stance detection aims at identifying the position (stance) of a document towards a claim.
TweetsCOV19 -- A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic
Publicly available social media archives facilitate research in the social sciences and provide corpora for training and testing a wide range of machine learning and natural language processing methods.
