Trends in Natural Language Processing
<p>This dataset contains the supporting parsed corpus as described in the publication: "Analyzing a Decade of Evolution: Trends in<br>Natural Language Processing" </p> <p>This dataset contains a single zip containing data between the years 2010 and 2022, for the conferences:</p> <ul> <li>Meeting of the Association for Computational Linguistics (ACL)</li> <li>Conference on Empirical Methods in Natural Language Processing (EMNLP)</li> <li>American Chapter of the Association for Computational Linguistics (NAACL)</li> <li>Conference on Computational Linguistics (COLING)</li> <li>International Conference on Language Resources and Evaluation (LREC)</li> <li>Conference on Computational Natural Language Learning (CoNLL)</li> <li>European Chapter of the Association for Computational Linguistics (EACL)</li> <li>International Joint Conference on Natural Language Processing (IJCNLP)</li> </ul> <p>The data inlcuded is a PDF and a JSON file for each confernce. The JSON file is constucted from using the python packages SciPDF and PyPDF2. PyPDF2 extract all text from a page and is presented in the 'full_text' field, where as the SciPDF parser utilize machine lerarning to create a smart representation of the data, which is presented in the remaining fields.</p> <p>For further details on how this dataset was generated, please see our <a href="https://github.com/ieeta-pt/nlp-trends" target="_blank" rel="noopener">GitHub</a> repository, and our paper.</p> <p>Citation:</p> <p>AWAITING PUBLICATION</p> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0