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Found 6 papers, 3 papers with code
Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning
For dialogue summarization, the subdomain of text summarization, utterances are concatenated to flat text before being processed.
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation
Previous works usually adopt heuristic metrics such as the entropy of internal outputs to measure instance difficulty, which suffers from generalization and threshold-tuning.
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER
Chinese NER is a difficult undertaking due to the ambiguity of Chinese characters and the absence of word boundaries.
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization
Existing summarization systems mostly generate summaries purely relying on the content of the source document.
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
In this paper, we take the advantage of previous pre-trained models (PTMs) and propose a novel Chinese Pre-trained Unbalanced Transformer (CPT).
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP
The joint-model is trained and evaluated on 13 corpora of four tasks, yielding near state-of-the-art (SOTA) performance in dependency parsing and NER, achieving SOTA performance in CWS and POS.
