activity
20182023
most citedImproving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

24 citations · 67 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2023★ 4 cited

A Prompt Learning Framework for Source Code Summarization

Tingting Xu, Yun Miao, Chunrong Fang +8

(Source) code summarization is the task of automatically generating natural language summaries (also called comments) for given code snippets. Recently, with the successful applica…

cs.CL2022★ 4 cited

SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

Liang Wang, Wei Zhao, Zhuoyu Wei +1

Knowledge graph completion (KGC) aims to reason over known facts and infer the missing links. Text-based methods such as KGBERT (Yao et al., 2019) learn entity representations from…

cs.SE2022★ 16 cited

What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code

Yao Wan, Wei Zhao, Hongyu Zhang +3

Recently, many pre-trained language models for source code have been proposed to model the context of code and serve as a basis for downstream code intelligence tasks such as code…

cs.CL2022★ 2 cited

DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence

Wei Zhao, Michael Strube, Steffen Eger

Recently, there has been a growing interest in designing text generation systems from a discourse coherence perspective, e.g., modeling the interdependence between sentences. Still…

cs.CL2019★ 5 cited

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…

cs.CL2019★ 24 cited

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

Wei Zhao, Liang Wang, Kewei Shen +2

Neural machine translation systems have become state-of-the-art approaches for Grammatical Error Correction (GEC) task. In this paper, we propose a copy-augmented architecture for…

cs.CL2018

Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension

Liang Wang, Sujian Li, Wei Zhao +4

Cloze-style reading comprehension has been a popular task for measuring the progress of natural language understanding in recent years. In this paper, we design a novel multi-persp…

cs.CL2018★ 12 cited

Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension

Liang Wang, Meng Sun, Wei Zhao +2

This paper describes our system for SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge. We use Three-way Attentive Networks (TriAN) to model interactions betwe…