EMBEDDIA/cross-lingual_training_for_offensive_language_detection

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Python
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MIT License
Created about 3 years ago
Updated over 2 years ago

EMBEDDIA/cross-lingual_training_for_offensive_language_detection

EMBEDDIA

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Cross-lingual training for offensive language detection

tnt_kid

TNT-KID: Transformer-based Neural Tagger for Keyword Identification

bert-bilstm-cnn-crf-ner

stacked-ner

Stacked-Transformers Named Entity Recogition

TransSHAP

Interpreting BERT with LIME and SHAP

texta-rest

TEXTA Toolkit back end

semantic_shift_detection

Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift

NER_FEDA

NER system using a Frustratingly Easy Domain and Tagset Adaptation

RaKUn

RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation

NEL_Filter

Post-processing filter for (Named) Entity Linking

NER_BERT_Multitask

Named Entity Recognition (NER) system trained using a multitask approach

morphological-BERT

event-detection

Event detection module.

scalable_semantic_shift

Scalable and Interpretable Semantic Change Detection

crosslingual-NER

FastText and ELMo embeddings evaluations on NER task (monolingual and crosslingual)

autoBOT

An autoML for explainable text classification.

news_background_linking

Participation of L3i at TREC 2021 News Track

embeddia-toolkit

EMBEDDIA Toolkit API wrapping EMBEDDIA API-based Services

Bayesian-BERT

Jupyter Notebook

cross-lingual-linking

A Comparison of Unsupervised Methods forAd hoc Cross-Lingual Document Retrieval

4real2018

Machine Learning Approach to Bilingual Terminology Alignment

BAN

Bayesian Attention Networks

CrossLingualKeywords

Code of the paper: Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?