39 citations · 93 across the 10 of their papers we have counts for
4 papers · 1 filter
Table-to-text Generation by Structure-aware Seq2seq Learning
Tianyu Liu, Kexiang Wang, Lei Sha +2
Table-to-text generation aims to generate a description for a factual table which can be viewed as a set of field-value records. To encode both the content and the structure of a t…
Order-Planning Neural Text Generation From Structured Data
Lei Sha, Lili Mou, Tianyu Liu +4
Generating texts from structured data (e.g., a table) is important for various natural language processing tasks such as question answering and dialog systems. In recent studies, r…
Syntax Aware LSTM Model for Chinese Semantic Role Labeling
Feng Qian, Lei Sha, Baobao Chang +2
As for semantic role labeling (SRL) task, when it comes to utilizing parsing information, both traditional methods and recent recurrent neural network (RNN) based methods use the f…
Improving Chinese SRL with Heterogeneous Annotations
Qiaolin Xia, Baobao Chang, Zhifang Sui
Previous studies on Chinese semantic role labeling (SRL) have concentrated on single semantically annotated corpus. But the training data of single corpus is often limited. Meanwhi…