| The Financial Document Causality Detection Shared Task (FinCausal 2020) | Dec 1, 2020 | Binary ClassificationRelation Extraction | —Unverified | 0 |
| Approaching SMM4H 2020 with Ensembles of BERT Flavours | Dec 1, 2020 | Task 2 | —Unverified | 0 |
| Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents | Dec 1, 2020 | Task 2 | —Unverified | 0 |
| ISIKUN at the FinCausal 2020: Linguistically informed Machine-learning Approach for Causality Identification in Financial Documents | Dec 1, 2020 | Binary ClassificationTask 2 | CodeCode Available | 0 |
| JDD @ FinCausal 2020, Task 2: Financial Document Causality Detection | Dec 1, 2020 | Task 2 | —Unverified | 0 |
| SO at SemEval-2020 Task 7: DeepPavlov Logistic Regression with BERT Embeddings vs SVR at Funniness Evaluation | Dec 1, 2020 | regressionTask 2 | —Unverified | 0 |
| UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection | Nov 30, 2020 | Change DetectionTask 2 | CodeCode Available | 0 |
| From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews | Nov 19, 2020 | Learning-To-RankRetrieval | —Unverified | 0 |
| NIT COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets | Nov 11, 2020 | Task 2 | —Unverified | 0 |
| Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles | Nov 3, 2020 | Abstractive Text SummarizationArticles | —Unverified | 0 |
| NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets | Nov 1, 2020 | Task 2 | —Unverified | 0 |
| TATL at WNUT-2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets | Nov 1, 2020 | Task 2 | —Unverified | 0 |
| NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets | Nov 1, 2020 | Task 2 | —Unverified | 0 |
| NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets | Nov 1, 2020 | Binary ClassificationManagement | —Unverified | 0 |
| UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa | Nov 1, 2020 | Task 2text-classification | —Unverified | 0 |
| Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation | Nov 1, 2020 | ArticlesData Augmentation | —Unverified | 0 |
| CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets | Nov 1, 2020 | Decision MakingSentence | —Unverified | 0 |
| Not-NUTs at WNUT-2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets | Nov 1, 2020 | Task 2 | —Unverified | 0 |
| DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks | Nov 1, 2020 | Binary ClassificationTask 2 | CodeCode Available | 0 |
| IIITBH at WNUT-2020 Task 2: Exploiting the best of both worlds | Nov 1, 2020 | Task 2 | —Unverified | 0 |
| Siva at WNUT-2020 Task 2: Fine-tuning Transformer Neural Networks for Identification of Informative Covid-19 Tweets | Nov 1, 2020 | MisinformationTask 2 | —Unverified | 0 |
| UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network | Nov 1, 2020 | Task 2 | —Unverified | 0 |
| UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter | Nov 1, 2020 | Task 2 | —Unverified | 0 |
| BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task | Nov 1, 2020 | SentenceTask 2 | —Unverified | 0 |
| CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features | Nov 1, 2020 | ClassificationLanguage Modeling | —Unverified | 0 |