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- research-articleOctober 2023
Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementPages 1982–1991https://doi.org/10.1145/3583780.3615103Aspect Term Extraction (ATE), a key sub-task of aspect-based sentiment analysis, aims to extract aspect terms from review sentences on which users express opinions. Existing studies mainly treat ATE as a sequence labeling problem, and the aspect terms of ...
- research-articleOctober 2023
Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementPages 2362–2371https://doi.org/10.1145/3583780.3615085The goal of stance detection is to automatically recognize the author's expressed attitude in text towards a given target. However, social media users often express themselves briefly and implicitly, which leads to a significant number of comments ...
- research-articleOctober 2023
Rethinking Sentiment Analysis under Uncertainty
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementPages 2775–2784https://doi.org/10.1145/3583780.3615034Sentiment Analysis (SA) is a fundamental task in natural language processing, which is widely used in public decision-making. Recently, deep learning have demonstrated great potential to deal with this task. However, prior works have mostly treated SA as ...
- research-articleOctober 2023
Real-time Emotion Pre-Recognition in Conversations with Contrastive Multi-modal Dialogue Pre-training
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementPages 1045–1055https://doi.org/10.1145/3583780.3615024This paper presents our pioneering effort in addressing a new and realistic scenario in multi-modal dialogue systems called Multi-modal Real-time Emotion Pre-recognition in Conversations (MREPC). The objective is to predict the emotion of a forthcoming ...
