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Related-Work-Finder

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title: Related Work Finder
emoji: 📚
colorFrom: blue
colorTo: indigo
sdk: docker
pinned: false
license: cc-by-nc-4.0

Related Work Finder

Live Demo: Related Work Finder

A search engine designed to find relevant papers from the ACL Anthology.

Keyword Search: Full-text search using SQLite's FTS5 engine, with support for boolean logic and special characters.
Abstract Search: Uses the KeyBERT NLP transformer to extract keywords from user-provided abstracts and runs a targeted search.
Dataset Parsing: Automatically downloads the anthology+abstracts.bib.gz dataset from ACL servers on startup and parses the BibTeX data (filtered for years 2022–2026).
Web Interface: A responsive UI displaying paper titles, authors, venues, years, and abstracts. Results can be sorted by relevance or year.
Deployment: Includes a pytest suite running via GitHub Actions, and a Dockerfile configured for deployment to Hugging Face Spaces.

Create a virtual environment and install dependencies:

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Start the backend server:
```
cd backend
uvicorn main:app --reload
```
Open your web browser and navigate to: http://127.0.0.1:8000/frontend/index.html

Fuzzy Searching: Implement robust typo-tolerance and spelling correction (e.g. using pyspellchecker or trigram matching) to handle slight misspellings in search queries.
Semantic Scholar Integration: Pull citation counts and sort papers by impact/citations instead of just basic relevance.
Advanced PDF Parsing: Extract text and insights directly from full paper PDFs or images instead of just using abstracts.