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Showing 11301–11325 of 14182 papers

TitleStatusHype
Gates Are Not What You Need in RNNsCode0
Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising—0
A Comparison of Sentence-Weighting Techniques for NMT—0
DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods—0
EnsLM: Ensemble Language Model for Data Diversity by Semantic ClusteringCode0
AND does not mean OR: Using Formal Languages to Study Language Models' Representations—0
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning—0
Evaluating morphological typology in zero-shot cross-lingual transfer—0
A Targeted Assessment of Incremental Processing in Neural Language Models and Humans—0
Enhancing Language Generation with Effective Checkpoints of Pre-trained Language Model—0
Document-Grounded Goal-Oriented Dialogue Systems on Pre-Trained Language Model with Diverse Input Representation—0
IBM MNLP IE at CASE 2021 Task 1: Multigranular and Multilingual Event Detection on Protest News—0
CLaC-BP at SemEval-2021 Task 8: SciBERT Plus Rules for MeasEval—0
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus—0
MVP-BERT: Multi-Vocab Pre-training for Chinese BERT—0
Realised Volatility Forecasting: Machine Learning via Financial Word Embedding—0
PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check—0
RoMa at SemEval-2021 Task 7: A Transformer-based Approach for Detecting and Rating Humor and Offense—0
Using Gender- and Polarity-Informed Models to Investigate Bias—0
Meta-Learning for Few-Shot Named Entity Recognition—0
Multi-Lingual Question Generation with Language Agnostic Language ModelCode0
Team “NoConflict” at CASE 2021 Task 1: Pretraining for Sentence-Level Protest Event Detection—0
PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning—0
Rakuten’s Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation—0
Unleash GPT-2 Power for Event Detection—0
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