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coursera-practical-data-science-specialization
Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)mci_python_33a8_l1
Khoá học Python for Data Analysis dành cho các bạn mới bắt đầuner-combining-contextual-and-global-features
[ICADL] Named entity recognition architecture combining contextual and global featureswqu_capstone_project_3621
Worldquant University's Capstone Projectmci_python_31_level_1
Submit assignment with name: [yourname]_[assignmentname].ipynbate-2022
Can Cross-domain Term Extraction Benefit from Cross-lingual Transfer?terminology-extraction
Terminology extraction on ACTER using Transformer-based language modelsez_chatbot
Help newbie playing around with chatbotmci_python_36a1_l2
Submit assignment with name: [yourname]_[assignmentname].ipynbleaf_coffee_classfication
icdar_2024_SAM
prompt_ate
Is Prompting What Term Extraction Needs?honghanhh
mscfe-worldquant-2021
This repository stores the contents of the MSc course in Financial Engineering provided by Worldquant University.AAM
fsdl_2022_solution
Solution of Full Stack Deep Learning - Course 2022oeis_similarity
Premise Selection using OEIS portalXlingual_NLP
Research study of diverse approaches to low resource and multi-lingual in NLPate_nobi
Automatic Term Extraction with NOBI Sequence Labeling approachpy40a12l2
Submit assignment with name: [yourname]_[assignmentname].ipynbdata-mining-knowledge-discovery
Data Mining & Knowledge Discovery: Get started with Sklearn, Keras libraries, and Orange toolkit.lner
LEGALLENS 2024: DETECTING LEGAL VIOLATIONSAdvancedhpc-Project
Bigdata
MI3.02 Cloud and Big Datasdjt-ate
A Transformer-based Sequence-labeling Approach to the Slovenian Cross-domain Automatic Term Extractionwqu-data-science-module
Further information about this course: https://www.wqu.edu/programs/data-science/nobi_annotation_regime
NOBI annotation regime - ACTER v1.6; RSDO v1.2Eloquent2024
Shared tasks for evaluation of generative language model qualitycodwoe2021
The CODWOE shared task invites you to compare two types of semantic descriptions: dictionary glosses and word embedding representations. Are these two types of representation equivalent? Can we generate one from the other?Love Open Source and this site? Check out how you can help us