There has been great progress in unifying various table-to-text tasks us...
Multilingual information retrieval is challenging due to the lack of tra...
Large language models have achieved high performance on various question...
Recent progress in pretrained Transformer-based language models has show...
Semantic role labeling (SRL) involves extracting propositions (i.e.
pred...
Multi-criteria Chinese word segmentation is a promising but challenging ...
Designing shared neural architecture plays an important role in multi-ta...
Text generation is a crucial task in NLP. Recently, several adversarial
...
Neural word segmentation has attracted more and more research interests ...
Different linguistic perspectives causes many diverse segmentation crite...
Recently, neural network models for natural language processing tasks ha...
Sentence ordering is one of important tasks in NLP. Previous works mainl...
Sentence ordering is a general and critical task for natural language
ge...
Recently, word representation has been increasingly focused on for its
e...
In this work, we address the problem to model all the nodes (words or
ph...