16 citations · 18 across the 6 of their papers we have counts for
6 papers
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data
Ziyan Yang, Kushal Kafle, Zhe Lin +3
We propose Subject-Conditional Relation Detection SCoRD, where conditioned on an input subject, the goal is to predict all its relations to other objects in a scene along with thei…
Visual Information Guided Zero-Shot Paraphrase Generation
Zhe Lin, Xiaojun Wan
Zero-shot paraphrase generation has drawn much attention as the large-scale high-quality paraphrase corpus is limited. Back-translation, also known as the pivot-based method, is ty…
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
Dat Huynh, Jason Kuen, Zhe Lin +2
Open-vocabulary instance segmentation aims at segmenting novel classes without mask annotations. It is an important step toward reducing laborious human supervision. Most existing…
Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
Zhe Lin, Yitao Cai, Xiaojun Wan
Paraphrase generation is an important task in natural language processing. Previous works focus on sentence-level paraphrase generation, while ignoring document-level paraphrase ge…
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach
Zhe Lin, Xiaojun Wan
In recent years, neural paraphrase generation based on Seq2Seq has achieved superior performance, however, the generated paraphrase still has the problem of lack of diversity. In t…
Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing
Yitao Cai, Zhe Lin, Xiaojun Wan
Abstract Meaning Representation (AMR) is a rooted, labeled, acyclic graph representing the semantics of natural language. As previous works show, although AMR is designed for Engli…