AAAI

InfoCTM:A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling
Cross-lingual topic models have been prevalent for cross-lingual text analysis by revealing aligned latent topics. However, most …
Is Discourse Role Important for Emotion Recognition in Conversation?
A conversation is a sequence of utterances, where each utterance plays a specific discourse role while expressing a particular emotion. …
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation
Current state-of-the-art cross-lingual summarization models employ multi-task learning paradigm, which works on a shared vocabulary …
Holographic Factorization Machines for Recommendation
Factorization Machines (FMs) are a class of popular algorithms that have been widely adopted for collaborative filtering and …
Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) tries to predict the polarity of a given document with respect to a given aspect entity. While …
Cross Temporal Recurrent Networks for Ranking Question Answer Pairs
Temporal gates play a significant role in modern recurrent-based neural encoders, enabling fine-grained control over recursive …
SkipFlow:Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring
Deep learning has demonstrated tremendous potential for Automatic Text Scoring (ATS) tasks. In this paper, we describe a new neural …
Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs
Knowledge graphs play a significant role in many intelligent systems such as semantic search and recommendation systems. Recent works …