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Extraction of Application Programming Interfaces (APIs) and their semantic relations from unstructured text (e.g., Stack Overflow) is a fundamental work for software engineering tasks (e.g., API recommendation).
An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers
J. R. Landis and G. Koch · 1977
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Benchmarking lightweight techniques to link e-mails and source code
Alberto Bacchelli, Marco D’Ambros, Michele Lanza, and Romain Robbes · 2009
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Linking e-mails and source code artifacts
Alberto Bacchelli, Michele Lanza, and Romain Robbes · 2010
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Extracting structured data from natural language documents with island parsing
Alberto Bacchelli, Anthony Cleve, Michele Lanza, and Andrea Mocci · 2011
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Recovering traceability links between an api and its learning resources
Barthélémy Dagenais and Martin P. Robillard · 2012
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Discovering essential code elements in informal documentation
Peter C. Rigby and Martin P. Robillard · 2013
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Convolutional neural networks for sentence classification
Yoon Kim · 2014
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Augmenting api documentation with insights from stack overflow
Christoph Treude and Martin P. Robillard · 2016
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Learning to extract api mentions from informal natural language discussions
Deheng Ye, Zhenchang Xing, Chee Yong Foo, J. Li, and Nachiket Kapre · 2016
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Software-specific named entity recognition in software engineering social content
Deheng Ye, Zhenchang Xing, Chee Yong Foo, Zi Qun Ang, Jing Li, and Nachiket Kapre · 2016
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Unsupervised software-specific morphological forms inference from informal discussions
Chunyang Chen, Zhenchang Xing, and Ximing Wang · 2017
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov · 2017
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Apireal: an api recognition and linking approach for online developer forums
Deheng Ye, Lingfeng Bao, Zhenchang Xing, and Shang-Wei Lin · 2018
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Api method recommendation without worrying about the task-api knowledge gap
Qiao Huang, Xin Xia, Zhenchang Xing, David Lo, and Xinyu Wang · 2018
Cited alongside, same era.
Improving api caveats accessibility by mining api caveats knowledge graph
Hongwei Li, Sirui Li, Jiamou Sun, Zhenchang Xing, Xin Peng, Mingwei Liu, and Xuejiao Zhao · 2018
Cited alongside, same era.
Openue: An open toolkit of universal extraction from text
Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, and Huajun Chen · 2018
Cited alongside, same era.
Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, and Sebastian Riedel · 2019
Cited alongside, same era.
Easy-to-deploy api extraction by multi-level feature embedding and transfer learning
Suyu Ma, Zhenchang Xing, Chunyang Chen, Cheng Chen, Lizhen Qu, and Guoqiang Li · 2019
Cited alongside, same era.
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer · 2020
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, T. J. Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeff Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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A unified mrc framework for named entity recognition
Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, and Jiwei Li · 2020
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A frustratingly easy approach for entity and relation extraction
Zexuan Zhong and Danqi Chen · 2021
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le · 2019
Cited alongside, same era.
Api method recommendation via explicit matching of functionality verb phrases
Wenkai Xie, Xin Peng, Mingwei Liu, Christoph Treude, Zhenchang Xing, Xiaoxin Zhang, and Wenyun Zhao · 2020
Cited alongside, same era.
Generating concept based api element comparison using a knowledge graph
Yang Liu, Mingwei Liu, Xin Peng, Christoph Treude, Zhenchang Xing, and Xiaoxin Zhang · 2020
Cited alongside, same era.
Api-misuse detection driven by fine-grained api-constraint knowledge graph
Xiaoxue Ren, Xinyuan Ye, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, and Jianling Sun · 2020
Cited alongside, same era.
Pre-trained models for natural language processing: A survey
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, and Xuanjing Huang · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam M. Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2020
Cited alongside, same era.
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Exploring listwise evidence reasoning with t5 for fact verification
Kelvin Jiang, Ronak Pradeep, Jimmy J. Lin, and David R. Cheriton · 2021
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An api learning service for inexperienced developers based on api knowledge graph
Hang Yin, Yuanhao Zheng, Yanchun Sun, and Gang Huang · 2021
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Named entity recognition by using xlnet-bilstm-crf
Rongen Yan, Xue Jiang, and Depeng Dang · 2021
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1+1 > > 2: Programming know-what and know-how knowledge fusion, semantic enrichment and coherent application
Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, and Xin Xia · 2022
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Arclin: Automated api mention resolution for unformatted texts
Yintong Huo, Yuxin Su, Hongming Zhang, and Michael R. Lyu · 2022
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Unified structure generation for universal information extraction
Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, and Hua Wu · 2022
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Standing on the shoulders of giant frozen language models
Yoav Levine, Itay Dalmedigos, Ori Ram, Yoel Zeldes, Daniel Jannai, Dor Muhlgay, Yoni Osin, Opher Lieber, Barak Lenz, Shai Shalev-Shwartz, Amnon Shashua, Kevin Leyton-Brown, and Yoav Shoham · 2022
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How to formulate specific how-to questions in software development?
Mingwei Liu, Xin Peng, Andrian Marcus, Christoph Treude, Jiazhan Xie, Huanjun Xu, and Yanjun Yang · 2022
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