20 citations · 28 across the 6 of their papers we have counts for
8 papers
Neural Sequence Segmentation as Determining the Leftmost Segments
Yangming Li, Lemao Liu, Kaisheng Yao
Prior methods to text segmentation are mostly at token level. Despite the adequacy, this nature limits their full potential to capture the long-term dependencies among segments. In…
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
Haisong Zhang, Lemao Liu, Haiyun Jiang +14
This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities. Com…
Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines
Yangming Li, Kaisheng Yao
End-to-end neural networks have achieved promising performances in natural language generation (NLG). However, they are treated as black boxes and lack interpretability. To address…
Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition
Yangming Li, Lemao Liu, Shuming Shi
In many scenarios, named entity recognition (NER) models severely suffer from unlabeled entity problem, where the entities of a sentence may not be fully annotated. Through empiric…
Segmenting Natural Language Sentences via Lexical Unit Analysis
Yangming Li, Lemao Liu, Shuming Shi
In this work, we present Lexical Unit Analysis (LUA), a framework for general sequence segmentation tasks. Given a natural language sentence, LUA scores all the valid segmentation…
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification
Libo Qin, Wanxiang Che, Yangming Li +2
In dialog system, dialog act recognition and sentiment classification are two correlative tasks to capture speakers intentions, where dialog act and sentiment can indicate the expl…