conftrace_

pretrained transformer

53 papers

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Co-occurring keywords

text classification (6793) transfer learning (5449) pretrained language model (1030) language model (4599) transformer model (1996) pre-trained transformer (64) multimodal learning (4645) representation learning (6206) semantic analysis (785) data augmentation (3052)

Papers

Do pretrained transformers infer telicity like humans? EMNLP 2021
Learning Data Augmentation Schedules for Natural Language Processing EMNLP 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers EMNLP 2021
Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer EMNLP 2021
Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation EACL 2021
Probing Cross-Modal Representations in Multi-Step Relational Reasoning IJCNLP 2021
Learning to Recognize Dialect Features NAACL 2021
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection NAACL 2021
Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering ACL 2021
CS-BERT: a pretrained model for customer service dialogues EMNLP 2021
DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection ACL 2021
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation EMNLP 2021
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling COLING 2020
German’s Next Language Model COLING 2020
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation EMNLP 2020
Document Ranking with a Pretrained Sequence-to-Sequence Model EMNLP 2020
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles SEMEVAL 2020
SciWING– A Software Toolkit for Scientific Document Processing EMNLP 2020
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers EMNLP 2020
Improving Neural Topic Models using Knowledge Distillation EMNLP 2020
Inserting Information Bottlenecks for Attribution in Transformers EMNLP 2020
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? EMNLP 2020
Analyzing Redundancy in Pretrained Transformer Models EMNLP 2020
A little goes a long way: Improving toxic language classification despite data scarcity EMNLP 2020
Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines COLING 2020