-
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
Sentiment analysis of user-generated reviews or comments on products and...
11/17/2020 ∙ by Sicheng Zhao, et al. ∙
8
∙
share
read it
-
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers
This paper explores the task of leveraging typology in the context of cr...
09/20/2019 ∙ by Adam Fisch, et al. ∙
0
∙
share
read it
-
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
This paper investigates the problem of learning cross-lingual representa...
09/15/2019 ∙ by Yuxuan Wang, et al. ∙
0
∙
share
read it
-
GraphIE: A Graph-Based Framework for Information Extraction
Most modern Information Extraction (IE) systems are implemented as seque...
10/31/2018 ∙ by Yujie Qian, et al. ∙
0
∙
share
read it
-
Multi-Source Domain Adaptation with Mixture of Experts
We propose a mixture-of-experts approach for unsupervised domain adaptat...
09/07/2018 ∙ by Jiang Guo, et al. ∙
0
∙
share
read it
-
A General Framework for Content-enhanced Network Representation Learning
This paper investigates the problem of network embedding, which aims at ...
10/10/2016 ∙ by Xiaofei Sun, et al. ∙
0
∙
share
read it
-
Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning
Various treebanks have been released for dependency parsing. Despite tha...
06/03/2016 ∙ by Jiang Guo, et al. ∙
0
∙
share
read it
-
Exploring Segment Representations for Neural Segmentation Models
Many natural language processing (NLP) tasks can be generalized into seg...
04/19/2016 ∙ by Yijia Liu, et al. ∙
0
∙
share
read it
