1 code implementation • 28 Oct 2023 • Chao Jiang, Bo Hui, Bohan Liu, Da Yan
Therefore, we propose to find the winning ticket with varying sparsity along different layers in the model.
1 code implementation • 28 Nov 2022 • Yang Chen, Chao Jiang, Alan Ritter, Wei Xu
Translating training data into many languages has emerged as a practical solution for improving cross-lingual transfer.
Ranked #1 on Cross-Lingual NER on MasakhaNER2.0
no code implementations • 26 Oct 2022 • Chao Jiang, Wei Xu, Samuel Stevens
We first introduce arXivEdits, a new annotated corpus of 751 full papers from arXiv with gold sentence alignment across their multiple versions of revision, as well as fine-grained span-level edits and their underlying intentions for 1, 000 sentence pairs.
no code implementations • 6 Oct 2022 • Yao Dou, Chao Jiang, Wei Xu
This paper addresses the quality issues in existing Twitter-based paraphrase datasets, and discusses the necessity of using two separate definitions of paraphrase for identification and generation tasks.
1 code implementation • 29 Jul 2021 • Chao Jiang, Canchen Jiang, Dongwei Chen, Fei Hu
Densely connected convolutional networks (DenseNet) behave well in image processing.
1 code implementation • ACL 2021 • Wuwei Lan, Chao Jiang, Wei Xu
Monolingual word alignment is important for studying fine-grained editing operations (i. e., deletion, addition, and substitution) in text-to-text generation tasks, such as paraphrase generation, text simplification, neutralizing biased language, etc.
1 code implementation • ACL 2020 • Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong, Wei Xu
The success of a text simplification system heavily depends on the quality and quantity of complex-simple sentence pairs in the training corpus, which are extracted by aligning sentences between parallel articles.
Ranked #1 on Text Simplification on Newsela
no code implementations • 23 Nov 2019 • Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li
We inspect various document and discourse factors associated with sentence deletion, using a new manually annotated sentence alignment corpus we collected.
no code implementations • NAACL 2018 • Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
In such a situation, the co-occurrence matrix is sparse as the co-occurrences of many word pairs are unobserved.
1 code implementation • 9 May 2018 • Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
In such a situation, the co-occurrence matrix is sparse as the co-occurrences of many word pairs are unobserved.
no code implementations • 21 Apr 2018 • Wasi Uddin Ahmad, Xueying Bai, Zhechao Huang, Chao Jiang, Nanyun Peng, Kai-Wei Chang
Learning distributed sentence representations is one of the key challenges in natural language processing.