jd-coderepos

contributions-ner-cs

This repository hosts the dataset for the paper Computer Science Named Entity Recognition in the Open Research Knowledge Graph

awesome-llms

🤓 A collection of AWESOME structured summaries of Large Language Models (LLMs)

sota

The official training/validation dataset repository for the SOTA? task as SimpleText Task4@CLEF2024

stem-ner-60k

Contains extracted Process, Method, Material, and Data entities across 10 STEM domains

NLPContributions

Trial data repository for the NLPContributionGraph Shared Task at SemEval 2021. Reference: https://arxiv.org/abs/2006.12870

task-dataset-metric-extraction

Parses pdfs for Tasks, Datasets, and Metrics using GROBID (Adapted version of https://github.com/IBM/science-result-extractor)

bioassays-ie

Bioassay semantifier based on k-means clsutering

cl-titles-parser

Extracts six types of scientific entities (viz., research problem, method, tool, resource, solution, language) from Computational Linguistics scholarly article titles

contributions-ner-agri

Hosts the dataset for Agriculture Named Entity Recognition in the Open Research Knowledge Graph

stem-rp

Data collection for research problem extraction from scholarly articles in 10 STEM disciplines

tg2019task

TextGraph 2019 Shared Task System (https://github.com/umanlp/tg2019task)

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

bert

TensorFlow code and pre-trained models for BERT

bioassay-molecule-images

cl-shorttitles-parser

disorder-normalizer

A system for normalizing disorder mentions in biomedical data.

llms4subjects

orkg-benchmark-upload

This script allows you to upload your reported model performances in tables in your publications directly to the ORKG

proc-tm

An annotated dataset for procedural text mining from product manuals

SpatialRelEx

A tool for automatically annotating text with spatial relations as per the ISO-Space specifications.

SpElementEx

A tool for automatically annotating text with spatial elements as per the ISO-Space specifications.

TG-2019

Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions