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Language Modeling

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Showing 11776–11800 of 14182 papers

TitleStatusHype
Neural Language Modeling for Named Entity Recognition—0
Mxgra at SemEval-2020 Task 4: Common Sense Making with Next Token Prediction—0
iCompass at SemEval-2020 Task 12: From a Syntax-ignorant N-gram Embeddings Model to a Deep Bidirectional Language Model—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases—0
BertAA : BERT fine-tuning for Authorship Attribution—0
A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown DetectionCode0
Exploring the zero-shot limit of FewRelCode0
Communication-Efficient Federated Distillation—0
Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification—0
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection—0
Chinese Grammatical Error Diagnosis with Graph Convolution Network and Multi-task Learning—0
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network—0
A Sentiment-annotated Dataset of English Causal ConnectivesCode0
Composing Byte-Pair Encodings for Morphological Sequence ClassificationCode0
Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements—0
CLPLM: Character Level Pretrained Language Model for ExtractingSupport Phrases for Sentiment Labels—0
Amobee at SemEval-2020 Task 7: Regularization of Language Model Based Classifiers—0
DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory—0
Language Model Transformers as Evaluators for Open-domain DialoguesCode0
A Neural Local Coherence Analysis Model for Clarity Text Scoring—0
Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification—0
JUST at SemEval-2020 Task 11: Detecting Propaganda Techniques Using BERT Pre-trained Model—0
Intermediate Self-supervised Learning for Machine Translation Quality Estimation—0
Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted AttentionCode0
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