Chinese word segmentation (CWS) and part-of-speech (POS) tagging are important
fundamental tasks for Chinese language processing, where joint learning of them is an …

Abstract Traditional approaches to Chinese Semantic Role Labeling (SRL) almost heavily
rely on feature engineering. Even worse, the long-range dependencies in a sentence can …

Words provide a useful source of information for Chinese NLP, and word segmentation has
been taken as a pre-processing step for most downstream tasks. For many NLP tasks …

Abstract In Semantic Role Labeling (SRL) task, the tree structured dependency relation is
rich in syntax information, but it is not well handled by existing models. In this paper, we …

Chinese chunking has traditionally been solved by assuming gold standard word
segmentation. We find that the accuracies drop drastically when automatic segmentation is …

Most existing systems for Chinese Semantic Role Labeling (SRL) make use of full syntactic
parses. In this paper, we evaluate SRL methods that take partial parses as inputs. We first …

Previous work has shown that joint modeling of two Natural Language Processing (NLP)
tasks are effective for achieving better performances for both tasks. Lots of task-specific joint …

In this paper, we capture the argument relationships for Chinese semantic role labeling task,
and improve the task's performance with the help of argument relationships. We split the …

Most existing systems solved the phrase chunking task with the sequence labeling
approaches, in which the chunk candidates cannot be treated as a whole during parsing …