Simple multilingual lemmatizer for Python, especially useful for speed and efficiency

💬 Language Identification with Support for More Than 2000 Labels -- EMNLP 2023

This repository contains the code and data of the paper titled "Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation" published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16 - November 20, 2020.

NLP pipelines for Tagalog using spaCy

Code and datasets for the ACL 2021 paper "OntoED: Low-resource Event Detection with Ontology Embedding"

[SIGIR 2023] Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction

A Scandinavian Benchmark for sentence embeddings

[ACL'24] MC^2: A Multilingual Corpus of Minority Languages in China (Tibetan, Uyghur, Kazakh, and Mongolian)

[ACL'24 Findings] Teaching Large Language Models an Unseen Language on the Fly

Code for paper "ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models"

This repository contains the code, data, and associated models of the paper titled "BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset", accepted in Proceedings of the Asia-Pacific Chapter of the Association for Computational Linguistics: AACL 2022.

Chatbot Solution for Resource-Poor Languages. Contains code and data for Journal Article 'Focused domain contextual AI chatbot framework for resource poor languages'.

This is an official Leaderboard for the RuSentRel-1.1 dataset originally described in paper (arxiv:1808.08932)

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. NAACL 2024.

This repository is an open-source colleciton of various low-resource machine translation experiments.

Implementation of NAACL 2024 main conference paper: Named Entity Recognition Under Domain Shift via Metric Learning for Life Science

Official implementation of the EACL Findings 2024 paper: Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction

Enhanced awesome-align for low-resource languages and noise simulation: https://arxiv.org/abs/2301.09685

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models (EMNLP 2024)

LoResMT@ACL 2024: Learning-From-Mistakes Prompting for Indigenous Language Translation – A feedback-driven approach to enhance low-resource translation.