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Task 2

Papers

Showing 76100 of 572 papers

TitleStatusHype
Large Language Models for Cross-lingual Emotion DetectionCode0
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine LearningCode0
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in MorphologyCode0
AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical ModelsCode0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk AlignerCode0
HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language ModelsCode0
Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel ModelCode0
ICDAR 2021 Competition on Historical Map SegmentationCode0
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical TrialsCode0
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and BaselineCode0
Forecasting the presence and intensity of hostility on Instagram using linguistic and social featuresCode0
Human Attention in Image Captioning: Dataset and AnalysisCode0
CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling approaches for NERCode0
AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language Models Under The Learning with Disagreements RegimeCode0
Classifying Math KCs via Task-Adaptive Pre-Trained BERTCode0
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical DomainCode0
ICDAR 2021 Competition on On-Line Signature VerificationCode0
GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC TaskCode0
Audio tagging with noisy labels and minimal supervisionCode0
Feature Fusion Revisited: Multimodal CTR Prediction for MMCTR ChallengeCode0
Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and OversamplingCode0
Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data AugmentationCode0
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4Code0
Fine-tuning Tree-LSTM for phrase-level sentiment classification on a Polish dependency treebank. Submission to PolEval task 2Code0
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word EmbeddingsCode0
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