Multilingual text classification
14 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Multilingual text classification
Belebele
MultiEURLEX
Most implemented papers
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.
Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF
sberbank-ai/ner-bert
•
•
WS 2019
In this paper we tackle multilingual named entity recognition task.
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.
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
We tackle the issue of classifier combinations when observations have multiple views.
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.
The Multilingual Amazon Reviews Corpus
mojave-pku/uniprompt
•
•
EMNLP 2020
We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification.
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.
NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers
eftekhar-hossain/CUET_NLP-EACL_2021
•
•
EACL (DravidianLangTech) 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.
NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner
eftekhar-hossain/CUET_NLP-EACL_2021
•
•
EACL (LTEDI) 2021
We propose three distinct models to identify hope speech in English, Tamil and Malayalam language to serve this purpose.
Practical Transformer-based Multilingual Text Classification
Transformer-based methods are appealing for multilingual text classification, but common research benchmarks like XNLI (Conneau et al., 2018) do not reflect the data availability and task variety of industry applications.
