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← Resources & Methods
Natural Language Processing
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Resources & Methods
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Multilingual NLP
4,508 papers
Papers per year
2000: 1
2007: 1
2011: 2
2012: 1
2013: 2
2014: 1
2016: 30
2017: 64
2018: 147
2019: 229
2020: 338
2021: 481
2022: 532
2023: 611
2024: 769
2025: 1103
2026: 196
Papers
MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual Setup
SEMEVAL 2023
GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters
SEMEVAL 2023
TechSSN at SemEval-2023 Task 12: Monolingual Sentiment Classification in Hausa Tweets
SEMEVAL 2023
LSJSP at SemEval-2023 Task 2: FTBC: A FastText based framework with pre-trained BERT for NER
SEMEVAL 2023
ChaPat at SemEval-2023 Task 9: Text Intimacy Analysis using Ensembles of Multilingual Transformers
SEMEVAL 2023
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases
SEMEVAL 2023
ACCEPT at SemEval-2023 Task 3: An Ensemble-based Approach to Multilingual Framing Detection
SEMEVAL 2023
MLlab4CS at SemEval-2023 Task 2: Named Entity Recognition in Low-resource Language Bangla Using Multilingual Language Models
SEMEVAL 2023
NAP at SemEval-2023 Task 3: Is Less Really More? (Back-)Translation as Data Augmentation Strategies for Detecting Persuasion Techniques
SEMEVAL 2023
Bhattacharya_Lab at SemEval-2023 Task 12: A Transformer-based Language Model for Sentiment Classification for Low Resource African Languages: Nigerian Pidgin and Yoruba
SEMEVAL 2023
Seals_Lab at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages, Hausa and Igbo
SEMEVAL 2023
FIT BUT at SemEval-2023 Task 12: Sentiment Without Borders - Multilingual Domain Adaptation for Low-Resource Sentiment Classification
SEMEVAL 2023
WKU_NLP at SemEval-2023 Task 9: Translation Augmented Multilingual Tweet Intimacy Analysis
SEMEVAL 2023
DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuning
SEMEVAL 2023
DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation
SEMEVAL 2023
GPL at SemEval-2023 Task 1: WordNet and CLIP to Disambiguate Images
SEMEVAL 2023
NLUBot101 at SemEval-2023 Task 3: An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques Detection
SEMEVAL 2023
DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset
SEMEVAL 2023
Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News
SEMEVAL 2023
PMCoders at SemEval-2023 Task 1: RAltCLIP: Use Relative AltCLIP Features to Rank
SEMEVAL 2023
iREL at SemEval-2023 Task 9: Improving understanding of multilingual Tweets using Translation-Based Augmentation and Domain Adapted Pre-Trained Models
SEMEVAL 2023
Team TheSyllogist at SemEval-2023 Task 3: Language-Agnostic Framing Detection in Multi-Lingual Online News: A Zero-Shot Transfer Approach
SEMEVAL 2023
Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification
SEMEVAL 2023
SinaAI at SemEval-2023 Task 3: A Multilingual Transformer Language Model-based Approach for the Detection of News Genre, Framing and Persuasion Techniques
SEMEVAL 2023
Ertim at SemEval-2023 Task 2: Fine-tuning of Transformer Language Models and External Knowledge Leveraging for NER in Farsi, English, French and Chinese
SEMEVAL 2023
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