somd2026

System submission for the SOMD 2026 Shared Task (co-located with NSLP @ LREC 2026).

---

Overview

This repository contains the code accompanying our system paper:

Semantic Centroids and Hierarchical Density-Based Clustering for Cross-Document Software Coreference Resolution: System Description for SOMD 2026

Our approach combines:

• Sentence-BERT embeddings (all-MiniLM-L6-v2)
• FAISS-based KB lookup
• Surface-form normalization & abbreviation resolution
• HDBSCAN density-based clustering
• Blocking strategy

---

Repository Structure

├── SOMD2026_Subtask1.ipynb   # Pipeline for Subtask 1 & 2 (gold + predicted mentions)
├── SOMD2026_Subtask3.ipynb   # Pipeline for Subtask 3 (large-scale predicted mentions)
└── README.md

---

Requirements

Python 3.11.7 (conda-forge)

sentence-transformers>=2.2.0,<3.0
faiss-cpu>=1.7.0
hdbscan>=0.8.29
scikit-learn>=1.0.0
pandas>=1.3.0
numpy>=1.21.0
tqdm>=4.62.0
matplotlib>=3.4.0
torch>=1.9.0
scipy>=1.7.0
transformers>=4.12.0
tokenizers>=0.10.0

---

Citation

If you use this code, please cite our system paper (citation to be added after proceedings are published).

---

Shared Task

• Website: SOMD 2026
• Workshop: NSLP 2026 @ LREC 2026 — May 12, 2026
• Organizers: SOMD 2026 Shared Task Committee