A CoNLL-U parser that takes a CoNLL-U formatted string and turns it into a nested python dictionary.

Tools for converting Label Studio annotations into common dataset formats

R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit

reference code for syntaxnet

Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).

The official tool for transforming doccano format into common dataset formats.

Pipeline component for spaCy (and other spaCy-wrapped parsers such as spacy-stanza and spacy-udpipe) that adds CoNLL-U properties to a Doc and its sentences and tokens. Can also be used as a command-line tool.

Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.

Deep-Atrous-CNN-NER: Word level model for Named Entity Recognition

The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017

Final parser submitted by ParisNLP team for CoNLL 2018 Shared Task on Multilingual Parsing

Deep learning for named entity recognition on CoNLL-2003

Alternative implementation of the coreference scorer for the CoNLL-2011/2012 shared tasks on coreference resolution

A simple tool to convert JSONL to CONLL

Python module for JSON-NLP

CoNLL-X utilities

CoNLL-X reader and writers for Rust

CoNLL 2018: Post-OCR Text Correction in Romanised Sanskrit

The repository contains model implementations and data described in the paper: From Dataset Recycling to Multi-Property Extraction and Beyond.

Named entity recognition for Clinical records.