activity
20192022
most citedTexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

20 citations · 29 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.CL202020 cited

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…

cs.CL2020

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…

cs.CL20207 cited

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…

cs.CL2020

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…

cs.CL2020

Rewriter-Evaluator Architecture for Neural Machine Translation

Yangming Li, Kaisheng Yao

Encoder-decoder has been widely used in neural machine translation (NMT). A few methods have been proposed to improve it with multiple passes of decoding. However, their full poten…

cs.CL20201 cited

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…