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Transformers

9,294 papers

Papers per year

Papers

LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary NAACL 2022
TLDR at SemEval-2022 Task 1: Using Transformers to Learn Dictionaries and Representations NAACL 2022
drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM NAACL 2022
YNU-HPCC at SemEval-2022 Task 2: Representing Multilingual Idiomaticity based on Contrastive Learning NAACL 2022
SemEval-2022 Task 3: PreTENS-Evaluating Neural Networks on Presuppositional Semantic Knowledge NAACL 2022
LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer NAACL 2022
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models NAACL 2022
UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations NAACL 2022
SPDB Innovation Lab at SemEval-2022 Task 3: Recognize Appropriate Taxonomic Relations Between Two Nominal Arguments with ERNIE-M Model NAACL 2022
UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks NAACL 2022
McRock at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Multi-Channel CNN, Hybrid LSTM, DistilBERT and XLNet NAACL 2022
Team LRL_NC at SemEval-2022 Task 4: Binary and Multi-label Classification of PCL using Fine-tuned Transformer-based Models NAACL 2022
CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3 NAACL 2022
Transformers at SemEval-2022 Task 5: A Feature Extraction based Approach for Misogynous Meme Detection NAACL 2022
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification NAACL 2022
RIT Boston at SemEval-2022 Task 5: Multimedia Misogyny Detection By Using Coherent Visual and Language Features from CLIP Model and Data-centric AI Principle NAACL 2022
TeamOtter at SemEval-2022 Task 5: Detecting Misogynistic Content in Multimodal Memes NAACL 2022
MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities NAACL 2022
UniBO at SemEval-2022 Task 5: A Multimodal bi-Transformer Approach to the Binary and Fine-grained Identification of Misogyny in Memes NAACL 2022
IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes NAACL 2022
I2C at SemEval-2022 Task 5: Identification of misogyny in internet memes NAACL 2022
INF-UFRGS at SemEval-2022 Task 5: analyzing the performance of multimodal models NAACL 2022
University of Hildesheim at SemEval-2022 task 5: Combining Deep Text and Image Models for Multimedia Misogyny Detection NAACL 2022
IITR CodeBusters at SemEval-2022 Task 5: Misogyny Identification using Transformers NAACL 2022
UMUTeam at SemEval-2022 Task 5: Combining image and textual embeddings for multi-modal automatic misogyny identification NAACL 2022