# Research Paper - DimABSA 2026 System Description

## Paper Title
**UCSC-NLP at SemEval-2026 Task DimABSA: Adapting Span-Based Dual-Channel Sentiment Extraction for Dimensional Aspect Sentiment Triplet Extraction**

## Files
- `main.tex` - Main LaTeX source file
- `references.bib` - Bibliography file
- `acl.sty` - ACL style file (simplified version)

## Compilation

### Using pdflatex:
```bash
cd ReseachPapers
pdflatex main.tex
bibtex main
pdflatex main.tex
pdflatex main.tex
```

### Using latexmk:
```bash
cd ReseachPapers
latexmk -pdf main.tex
```

## Notes
- For official submission, download the full ACL style files from:
  https://github.com/acl-org/acl-style-files
- Replace the simplified `acl.sty` with the official version
- Also download `acl_natbib.bst` for proper bibliography formatting
- Paper follows SemEval system description paper guidelines:
  https://semeval.github.io/system-paper-template.html

## Paper Structure
1. Abstract
2. Introduction
3. Background (Task Description, Evaluation Metric, Related Work)
4. System Overview (DESS Model, Pipeline-DeBERTa)
5. Experimental Setup (Data, Hyperparameters, Preprocessing)
6. Results (Main Results, Entity Extraction, Analysis)
7. Discussion
8. Conclusion
9. Appendix (Architecture Diagram, Training Curves, Data Example)
