Bollegala
Professor in Computer Science. University of Liverpool, UK. Natural Language Processing, Machine Learning, and Data Mining researcher.
University of Liverpool / University of TokyoUnited Kingdom
Bollegala's Stars
huggingface/trl
Train transformer language models with reinforcement learning.
snorkel-team/snorkel
A system for quickly generating training data with weak supervision
nmslib/nmslib
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
OpenNMT/CTranslate2
Fast inference engine for Transformer models
google-deepmind/dm-haiku
JAX-based neural network library
gururise/AlpacaDataCleaned
Alpaca dataset from Stanford, cleaned and curated
xolox/python-coloredlogs
Colored terminal output for Python's logging module
asahi417/tner
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
shuohangwang/SeqMatchSeq
clinicalml/omop-learn
Python package for machine learning for healthcare using a OMOP common data model
uclnlp/cqd
Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs
octanove/shiba
Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.
thunlp/ERICA
Source code for ACL 2021 paper "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning"
patverga/torch-relation-extraction
Universal Schema based relation extraction implemented in Torch.
wangcunxiang/SemEval2020-Task4-Commonsense-Validation-and-Explanation
This project is special for SemEval2020 task4 Commonsense Validation and Explanantion
amazon-science/amazon-multilingual-counterfactual-dataset
Irenehere/Auto-Debias
amazon-science/generalized-fairness-metrics
boschresearch/adversarial_meta_embeddings
Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"
YilunZhou/path-naturalness-prediction
Code repository for the WWW 2019 paper "Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness"
FEE-Fair-Embedding-Engine/FEE
Fair Embedding Engine
LivNLP/bias-sense
maruker/vec2sent
CoLing 2020 Paper Vec2Sent: Probing Sentence Embeddings with Natural Language Generation
AvataGarde/concept_ordering
Bollegala/bollegala.github.io
Danushka Bollegala's official Web site
Bollegala/Meta-Embedding-Framework
jaimeenahn/ethnic_bias
EMNLP 2021
brainsharks-fyp17/sinhala-dataset-creation
LivNLP/meta-concat
Creates meta embedding via unsupervised PIP loss minimisation
LivNLP/ODP-tagger
Sequence Learning model performing Biomedical named entity recognition