This is the implementation of AFSC focused website segment crawler. It is capable for finding web pages that are related to a specific topic and also written in a specific language. For more details, please refer to http://ieeexplore.ieee.org/abstract/document/7789756/

A Domain Specific Language for the Structured Query Language (SQL) embedded in Java

Domain specific custom entity extraction

Learning Named Entity Tagger from Domain-Specific Dictionary

This is an embedding of the Sparse Synchronous Model, in Haskell!

Code for DELSumm, an unsupervised summarization algorithm for legal case judgements.

Voila is a domain-specific language launched through CLI tool for operating with files and directories in massive amounts in a fast & reliable way.

📶 NetBERT: a domain-specific BERT model for computer networking.

Repository for the paper "Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays"

CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model

[EMNLP'24] This repo is official implementation for the paper "Unsupervised Named Entity Disambiguation for Low Resource Domains"

Sparky is an interactive assistant designed to help users identify and understand various hardware and electronic components.

Implementation of TSDS: Data Selection for Task-Specific Model Finetuning. An optimal-transport framework for selecting domain-specific and task-specific training data to improve LLM finetuning and instruction tuning.

A collection of easily digestible introductions to foundational and state-of-the-art LLM domains

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

도메인에 특화된 질의응답 QA 시스템을 자동 생성하는 웹 프레임워크 QA Maker 개발

A Python Tool for Selecting Domain-Specific (Contextually Similar Data) for Machine Translation

Dhaad (ضَاد) is the world's first **adaptive programming language** that intelligently orchestrates execution while preserving semantic intent. Named after the distinctive Arabic letter "Ḍād" that defines linguistic depth, Dhaad transforms programming from static computation to **dynamic, context-aware outcome commanding** across all computational

Comprehensive benchmarking framework for evaluating 13+ embedding models on multi-turn conversational retrieval with advanced metrics, automated visualizations, and flexible data pipeline supporting multiple formats

Extracts key information from unstructured news headlines into structured domain-specific summaries for business, logistics, and transportation sectors.