Boundary Detection with BERT for Span-level Emotion Cause Analysis
Code (0)
등록된 구현이 없습니다.
Tasks
Boundary DetectionSimilar Papers 제목 키워드 기반
UCSC NLP at SemEval-2026 Task 10: Boundary-Aware Span Extraction and RoBERTa Classification for Conspiracy Detection
We present our systems for SemEval-2026 Task 10 (PsyCoMark), addressing conspiracy marker extraction (Subtask 1) and document-level conspiracy detection (Subtask 2). For marker extraction, we formulate the task as multi-…
Document ClassificationCross-lingual Emotion Detection
Emotion detection can provide us with a window into understanding human behavior. Due to the complex dynamics of human emotions, however, constructing annotated datasets to train automated models can be expensive. Thus, …
ToxiTrace: Gradient-Aligned Training for Explainable Chinese Toxicity Detection
Existing Chinese toxic content detection methods mainly target sentence-level classification but often fail to provide readable and contiguous toxic evidence spans. We propose \textbf{ToxiTrace}, an explainability-orient…
An Ensemble Approach to Detect Emotions at an Essay Level
This paper describes our system (IREL, reffered as himanshu.1007 on Codalab) for Shared Task on Empathy Detection, Emotion Classification, and Personality Detection at 12th Workshop on Computational Approaches to Subject…
Emotion ClassificationSpan-level Emotion-Cause-Category Triplet Extraction with Instruction Tuning LLMs and Data Augmentation
Span-level emotion-cause-category triplet extraction represents a novel and complex challenge within emotion cause analysis. This task involves identifying emotion spans, cause spans, and their associated emotion categor…
Data AugmentationEmotion-Cause Pair ExtractionInformation RetrievalTriplet