SOTAVerified

Task 2

Papers

Showing 176–200 of 572 papers

TitleStatusHype
Enhanced detection of the presence and severity of COVID-19 from CT scans using lung segmentation—0
Enhanced Offensive Language Detection Through Data Augmentation—0
Enhancing Lip Reading with Multi-Scale Video and Multi-Encoder—0
Boosting the performance of anomalous diffusion classifiers with the proper choice of features—0
Ensemble Fine-tuned mBERT for Translation Quality Estimation—0
EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption—0
ERTIM@MC2: Diversified Argumentative Tweets Retrieval—0
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus—0
Event Coreference Resolution with Multi-Pass Sieves—0
ExpertNeurons at FinCausal 2022 Task 2: Causality Extraction for Financial Documents—0
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task—0
Extending nnU-Net is all you need—0
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients—0
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions—0
FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity—0
A Semantic Alignment System for Multilingual Query-Product Retrieval—0
Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine—0
Detecting Deception in Political Debates Using Acoustic and Textual Features—0
'Finance Wizard' at the FinLLM Challenge Task: Financial Text Summarization—0
Financial Document Causality Detection Shared Task (FinCausal 2020)—0
Adverse Drug Reaction Detection in Twitter Using RoBERTa and Rules—0
Findings of the 2014 Workshop on Statistical Machine Translation—0
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection—0
Findings of the WMT 2022 Shared Task on Translation Suggestion—0
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models—0
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