SOTAVerified

Task 2

Papers

Showing 301325 of 572 papers

TitleStatusHype
Autobots@LT-EDI-EACL2021: One World, One Family: Hope Speech Detection with BERT Transformer Model0
IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction0
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction0
AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets0
BERT-based Acronym Disambiguation with Multiple Training Strategies0
KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Code-Mixed Social Media text0
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction0
Unsupervised Technical Domain Terms Extraction using Term ExtractorCode1
WeChat AI & ICT's Submission for DSTC9 Interactive Dialogue Evaluation Track0
Hand Pose Estimation in the Task of Egocentric Actions0
Iterative weak/self-supervised classification framework for abnormal events detectionCode1
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot LearningCode1
THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment0
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks0
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT0
Enhanced Offensive Language Detection Through Data Augmentation0
Financial Document Causality Detection Shared Task (FinCausal 2020)0
JDD @ FinCausal 2020, Task 2: Financial Document Causality Detection0
NTUNLPL at FinCausal 2020, Task 2:Improving Causality Detection Using Viterbi DecoderCode0
GBe at FinCausal 2020, Task 2: Span-based Causality Extraction for Financial DocumentsCode1
ISIKUN at the FinCausal 2020: Linguistically informed Machine-learning Approach for Causality Identification in Financial DocumentsCode0
Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents0
The Financial Document Causality Detection Shared Task (FinCausal 2020)0
LITL at SMM4H: An Old-school Feature-based Classifier for Identifying Adverse Effects in Tweets0
HITSZ-ICRC: A Report for SMM4H Shared Task 2020-Automatic Classification of Medications and Adverse Effect in Tweets0
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