Readme

Codes for the NAACL-HLT 2021 paper titled:

Active² Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation (ACL Web Link / arXiv Link)

Repo directory Structure:

.
+-- A2L for Seq Tagging
|   +-- model
|   +-- scripts (9 files)
+-- A2L for NMT
    +-- 3 folders (for each AL strategy)
    |   +-- 5 folders for each method (including baselines)
    +-- ADS_word (word level tokenization)
    +-- global data
    +-- dev

Setup Instructions

Instructions have been provided within each folder

Citation

If you find this code or our paper relevant to your work, please cite our NAACL paper:

@inproceedings{hazra-etal-2021-active2,
    title = "Active$^2$ Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation",
    author = "Hazra, Rishi  and
      Dutta, Parag  and
      Gupta, Shubham  and
      Qaathir, Mohammed Abdul  and
      Dukkipati, Ambedkar",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.naacl-main.159",
    pages = "1982--1995"
}