About
Benchmarks
Greatest papers with code
Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF
WS 2019
• sberbank-ai/ner-bert
• 
In this paper we tackle multilingual named entity recognition task.
JOINT NER AND CLASSIFICATION LANGUAGE MODELLING MULTILINGUAL TEXT CLASSIFICATION NAMED ENTITY RECOGNITION
ALL-IN-1: Short Text Classification with One Model for All Languages
We present ALL-IN-1, a simple model for multilingual text classification that does not require any parallel data.
MULTILINGUAL TEXT CLASSIFICATION MULTILINGUAL WORD EMBEDDINGS TEXT CLASSIFICATION
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
Different experiments on three publicly available datasets show the efficiency of the proposed approach with respect to state-of-art models.
DOCUMENT CLASSIFICATION MULTILINGUAL TEXT CLASSIFICATION MULTIVIEW LEARNING
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
We tackle the issue of classifier combinations when observations have multiple views.
DOCUMENT CLASSIFICATION MULTILINGUAL TEXT CLASSIFICATION MULTIVIEW LEARNING
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification
We describe our submission to the CogALex-VI shared task on the identification of multilingual paradigmatic relations building on XLM-RoBERTa (XLM-R), a robustly optimized and multilingual BERT model.
HYPERNYM DISCOVERY LANGUAGE MODELLING MULTILINGUAL TEXT CLASSIFICATION RELATION CLASSIFICATION
NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner
• eftekhar-hossain/CUET_NLP-EACL_2021
•
We propose three distinct models to identify hope speech in English, Tamil and Malayalam language to serve this purpose.
NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers
• eftekhar-hossain/CUET_NLP-EACL_2021
•
In the task, datasets provided in three languages including Tamil, Malayalam and Kannada code-mixed with English where participants are asked to implement separate models for each language.
A Multi-cascaded Deep Model for Bilingual SMS Classification
Our model achieves high accuracy for classification on this dataset and outperforms the previous model for multilingual text classification, highlighting language independence of McM.
LEXICAL NORMALIZATION MULTILINGUAL TEXT CLASSIFICATION TEXT CLASSIFICATION TRANSLITERATION