98 citations · 245 across the 28 of their papers we have counts for
6 papers · 1 filter
Zero-shot Chinese Discourse Dependency Parsing via Cross-lingual Mapping
Yi Cheng, Sujian Li
Due to the absence of labeled data, discourse parsing still remains challenging in some languages. In this paper, we present a simple and efficient method to conduct zero-shot Chin…
Incorporating Textual Evidence in Visual Storytelling
Tianyi Li, Sujian Li
Previous work on visual storytelling mainly focused on exploring image sequence as evidence for storytelling and neglected textual evidence for guiding story generation. Motivated…
Text Level Graph Neural Network for Text Classification
Lianzhe Huang, Dehong Ma, Sujian Li +2
Recently, researches have explored the graph neural network (GNN) techniques on text classification, since GNN does well in handling complex structures and preserving global inform…
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Eric Wallace, Yizhong Wang, Sujian Li +2
The ability to understand and work with numbers (numeracy) is critical for many complex reasoning tasks. Currently, most NLP models treat numbers in text in the same way as other t…
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy
Bowen Yu, Zhenyu Zhang, Xiaobo Shu +4
Joint extraction of entities and relations aims to detect entity pairs along with their relations using a single model. Prior work typically solves this task in the extract-then-cl…
Denoising based Sequence-to-Sequence Pre-training for Text Generation
Liang Wang, Wei Zhao, Ruoyu Jia +2
This paper presents a new sequence-to-sequence (seq2seq) pre-training method PoDA (Pre-training of Denoising Autoencoders), which learns representations suitable for text generatio…