Pretrained language models have shown success in many natural language
p...
Chinese pre-trained language models usually process text as a sequence o...
Recent studies about learning multilingual representations have achieved...
In this paper, we explore the slot tagging with only a few labeled suppo...
This paper investigates the problem of learning cross-lingual representa...
Querying the knowledge base (KB) has long been a challenge in the end-to...
Few-shot sequence labeling faces a unique challenge compared with the ot...
In this paper, we propose a new rich resource enhanced AMR aligner which...
This paper describes our system (HIT-SCIR) submitted to the CoNLL 2018 s...
In this paper, we study the problem of data augmentation for language
un...
Classic pipeline models for task-oriented dialogue system require explic...
Many natural language processing tasks can be modeled into structured
pr...
We study the problem of analyzing tweets with Universal Dependencies. We...
Many natural language processing (NLP) tasks can be generalized into
seg...