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20192022
most citedLeveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning

53 citations · 151 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CL2022

MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts

Xiangyu Xi, Jianwei Lv, Shuaipeng Liu +3

Event detection (ED) identifies and classifies event triggers from unstructured texts, serving as a fundamental task for information extraction. Despite the remarkable progress ach…

cs.CL2022

A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example

Xiangyu Xi, Chenxu Lv, Yuncheng Hua +5

Though widely used in industry, traditional task-oriented dialogue systems suffer from three bottlenecks: (i) difficult ontology construction (e.g., intents and slots); (ii) poor c…

cs.CL202151 cited

Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting

Luyao Ma, Yating Zhang, Tianyi Wang +4

Legal judgment prediction(LJP) is an essential task for legal AI. While prior methods studied on this topic in a pseudo setting by employing the judge-summarized case narrative as…

cs.CL20212 cited

Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder

Xiangyu Xi, Wei Ye, Shikun Zhang +3

Capturing interactions among event arguments is an essential step towards robust event argument extraction (EAE). However, existing efforts in this direction suffer from two limita…

cs.CL2021

Multi-view Inference for Relation Extraction with Uncertain Knowledge

Bo Li, Wei Ye, Canming Huang +1

Knowledge graphs (KGs) are widely used to facilitate relation extraction (RE) tasks. While most previous RE methods focus on leveraging deterministic KGs, uncertain KGs, which assi…

cs.CL20212 cited

Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach

Rui Xie, Wei Ye, Jinan Sun +1

Code summaries are brief natural language descriptions of source code pieces. The main purpose of code summarization is to assist developers in understanding code and to reduce doc…