Show newer

Improving astroBERT using Semantic Textual Similarity. (arXiv:2212.00744v1 [cs.CL]) 

What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. (arXiv:2212.00715v1 [cs.CY]) 

CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text. (arXiv:2212.00689v1 [cs.CL]) 

Adapted Multimodal BERT with Layer-wise Fusion for Sentiment Analysis. (arXiv:2212.00678v1 [cs.CL]) 

Analyzing the State of Computer Science Research with the DBLP Discovery Dataset. (arXiv:2212.00629v1 [cs.DL]) 

Extensible Prompts for Language Models. (arXiv:2212.00616v1 [cs.CL]) 

Language models and brain alignment: beyond word-level semantics and prediction. (arXiv:2212.00596v1 [cs.CL]) 

Embedding generation for text classification of Brazilian Portuguese user reviews: from bag-of-words to transformers. (arXiv:2212.00587v1 [cs.CL]) 

Long-Document Cross-Lingual Summarization. (arXiv:2212.00586v1 [cs.CL]) 

Research on the application of contrastive learning in multi-label text classification. (arXiv:2212.00552v1 [cs.CL]) 

CultureBERT: Fine-Tuning Transformer-Based Language Models for Corporate Culture. (arXiv:2212.00509v1 [cs.CL]) 

MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition. (arXiv:2212.00500v1 [cs.MM]) 

CUNI Systems for the WMT22 Czech-Ukrainian Translation Task. (arXiv:2212.00486v1 [cs.CL]) 

IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection. (arXiv:2212.00482v1 [cs.CL]) 

CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task. (arXiv:2212.00477v1 [cs.CL]) 

Language Model Pre-training on True Negatives. (arXiv:2212.00460v1 [cs.CL]) 

Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. (arXiv:2212.00339v1 [cs.CL]) 

Learning to Select from Multiple Options. (arXiv:2212.00301v1 [cs.CL]) 

A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines. (arXiv:2212.00298v1 [cs.CL]) 

Localization vs. Semantics: How Can Language Benefit Visual Representation Learning?. (arXiv:2212.00281v1 [cs.CV]) 

Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.