| C3SL at SemEval-2021 Task 1: Predicting Lexical Complexity of Words in Specific Contexts with Sentence Embeddings | Aug 1, 2021 | SentenceSentence Embeddings | —Unverified | 0 |
| hub at SemEval-2021 Task 1: Fusion of Sentence and Word Frequency to Predict Lexical Complexity | Aug 1, 2021 | Lexical Complexity PredictionSentence | —Unverified | 0 |
| Duluth at SemEval-2021 Task 11: Applying DeBERTa to Contributing Sentence Selection and Dependency Parsing for Entity Extraction | Aug 1, 2021 | ArticlesDependency Parsing | —Unverified | 0 |
| hub at SemEval-2021 Task 2: Word Meaning Similarity Prediction Model Based on RoBERTa and Word Frequency | Aug 1, 2021 | Binary ClassificationSentence | —Unverified | 0 |
| BennettNLP at SemEval-2021 Task 5: Toxic Spans Detection using Stacked Embedding Powered Toxic Entity Recognizer | Aug 1, 2021 | SentenceToxic Spans Detection | —Unverified | 0 |
| YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective | Aug 1, 2021 | Sentencetoken-classification | CodeCode Available | 0 |
| Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing | Aug 1, 2021 | Abstract Meaning RepresentationAMR Parsing | —Unverified | 0 |
| CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction | Aug 1, 2021 | Lexical Complexity PredictionLexical Simplification | —Unverified | 0 |
| PolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP) | Aug 1, 2021 | Lexical Complexity PredictionSentence | —Unverified | 0 |
| SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph | Aug 1, 2021 | ArticlesSentence | —Unverified | 0 |
| Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation | Aug 1, 2021 | Domain AdaptationSentence | —Unverified | 0 |
| SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection | Aug 1, 2021 | SentenceToxic Spans Detection | —Unverified | 0 |
| UIUC\_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions | Aug 1, 2021 | SentenceSentence Classification | CodeCode Available | 1 |
| Probing Toxic Content in Large Pre-Trained Language Models | Aug 1, 2021 | Probing Language ModelsSentence | CodeCode Available | 0 |
| Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization | Aug 1, 2021 | DecoderSentence | CodeCode Available | 0 |
| Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text | Aug 1, 2021 | Chinese Sentiment AnalysisPosition | —Unverified | 0 |
| Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic | Jul 31, 2021 | MisinformationSentence | —Unverified | 0 |
| Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding | Jul 31, 2021 | DecoderSentence | —Unverified | 0 |
| Anomaly Detection with Neural Parsers That Never Reject | Jul 30, 2021 | Anomaly DetectionSentence | —Unverified | 0 |
| ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback | Jul 30, 2021 | Machine TranslationNMT | CodeCode Available | 1 |
| Difficulty-Aware Machine Translation Evaluation | Jul 30, 2021 | Machine TranslationSentence | CodeCode Available | 0 |
| Towards Continual Entity Learning in Language Models for Conversational Agents | Jul 30, 2021 | Language ModelingLanguage Modelling | —Unverified | 0 |
| ReFormer: The Relational Transformer for Image Captioning | Jul 29, 2021 | Graph GenerationImage Captioning | CodeCode Available | 0 |
| Adversarial Learning with Mask Reconstruction for Text-Guided Image Inpainting | Jul 28, 2021 | Image InpaintingSentence | CodeCode Available | 1 |
| Arabic aspect sentiment polarity classification using BERT | Jul 28, 2021 | Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA) | —Unverified | 0 |
