bplank

bplank's Stars

• dmg-illc/JUDGE-BENCH

  Language:Jupyter Notebook235

• All-Hands-AI/OpenHands

  🙌 OpenHands: Code Less, Make More

  Language:Python39.3k4.4k

• hclent/CreoleVal

  The central repo for Creole based NLU and NLG work

  Language:HTML164

• mainlp/germanic-lrl-corpora

  A survey of corpora for Germanic low-resource languages and dialects

  24

• mainlp/CrossRE

  CrossRE: A Cross-Domain Dataset for Relation Extraction (Findings of EMNLP 2022)

  Language:Python47

• cambridgeltl/ACL2022_tutorial_multilingual_dialogue

  Materials for "Natural Language Processing for Multilingual Task-Oriented Dialogue" Tutorial at ACL 2022

  14

• diyiy/ACL2022_Limited_Data_Learning_Tutorial

  934

• machamp-nlp/machamp

  Repository with code for MaChAmp: https://aclanthology.org/2021.eacl-demos.22/

  Language:Python8320

• personads/ud-selection

  Genre-driven Data Selection for Zero-shot Parsing (EMNLP 2021)

  Language:Python6

• zliucr/CrossNER

  CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

  Language:Python12626

• allenai/naacl2021-longdoc-tutorial

  Language:Python34436

• Kaleidophon/deep-significance

  Enabling easy statistical significance testing for deep neural networks.

  Language:Python32921

• fail2ban/fail2ban

  Daemon to ban hosts that cause multiple authentication errors

  Language:Python12.7k1.3k

• kpu/kenlm

  KenLM: Faster and Smaller Language Model Queries

  Language:C++2.5k513

• peopleswksh/peopleswksh.github.io

  Language:HTML11

• tmills/Neural-SCL-Domain-Adaptation

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

  Language:Python1

• juand-r/entity-recognition-datasets

  A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

  Language:Python1.5k247

• google/meta_tagger

  Language:Python4817

• jiesutd/NCRFpp

  NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

  Language:Python1.9k445

• ajstent/STARTReviewersScores

  A script for matching TPMS scores and bids for reviewers using START formatted csv files

  Language:Python1

• hectormartinez/ud_unsup_parser

  Language:Lex214

• siavash9000/DeepLearningCologneMeetup

  Language:Jupyter Notebook4

• coastalcph/ud-conversion-tools

  Conversion tools for UD treebanks

  Language:Python35

• bplank/domainsim

  Measures of Domain Similarity

  Language:Python41

• bplank/myconllutils

  various Python utilities for manipulating CoNLL (dependency parsing) files

  Language:Python1