Search Results for author:
Found 12 papers, 2 papers with code
Seq2Path: Generating Sentiment Tuples as Paths of a Tree
A tree can represent “1-to-n” relations (e. g., an aspect term may correspond to multiple opinion terms) and the paths of a tree are independent and do not have orders.
Ranked #2 on
Aspect-Based Sentiment Analysis (ABSA)
on ASTE
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+3
Enhancing Large Language Model with Decomposed Reasoning for Emotion Cause Pair Extraction
Emotion-Cause Pair Extraction (ECPE) involves extracting clause pairs representing emotions and their causes in a document.
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification
Hierarchical Text Classification (HTC) is a challenging task where a document can be assigned to multiple hierarchically structured categories within a taxonomy.
Hybrid Curriculum Learning for Emotion Recognition in Conversation
Emotion recognition in conversation (ERC) aims to detect the emotion label for each utterance.
Ranked #8 on
Emotion Recognition in Conversation
on DailyDialog
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Eliminating the covariate shift cross domains is one of the common methods to deal with the issue of domain shift in visual unsupervised domain adaptation.
Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark
We expect the ERATO as well as our proposed SMTA to open up a new way for PERR task in video understanding and further improve the research of multi-modal fusion methodology.
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
Some recent work focused on solving a combination of two subtasks, e. g., extracting aspect terms along with sentiment polarities or extracting the aspect and opinion terms pair-wisely.
Aspect-Based Sentiment Analysis
Aspect-oriented Opinion Extraction
+6
Mirror Sample Based Distribution Alignment for Unsupervised Domain Adaption
Unsupervised Domain Adaption has great value in both machine learning theory and applications.
ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID
Person re-identification (re-ID) is a challenging task in real-world.
VIDEO AFFECTIVE IMPACT PREDICTION WITH MULTIMODAL FUSION AND LONG-SHORT TEMPORAL CONTEXT
Feature extraction, multi-modal fusion and temporal context fusion are crucial stages for predicting valence and arousal values in the emotional impact, but have not been successfully exploited.
Video Affective Effects Prediction with Multi-modal Fusion and Shot-Long Temporal Context
We select the most suitable modalities for valence and arousal tasks respectively and each modal feature is extracted using the modality-specific pre-trained deep model on large generic dataset.
Predicting the Popularity of Online Videos via Deep Neural Networks
Predicting the popularity of online videos is important for video streaming content providers.
