Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis (C18-1)
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| Challenge: | a lack of reproducibility and generalisability is a major threat to scientific development in Natural Language Processing. |
| Approach: | They propose to use a model zoo to document and release language models and published code . they recommend that future replication experiments should consider a variety of datasets . |
| Outcome: | The proposed methods are compared on six English datasets and are based on the results. |
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| Challenge: | Despite the recent progress in reproducibility, the field is far from reaching a consensus on how reproducibility should be defined, measured and addressed. |
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Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future (2023.emnlp-main)
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Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
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| Challenge: | a study with 93 students in an introductory NLP class shows that beginners' programming skill and comprehension of research papers have a limited impact on their effort spent completing the exercise. |
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| Challenge: | a recent paper argues that current publications foster a gap between adoption and understanding of models . it also makes it easier to meet publication demands with method papers, argues the paper . |
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Non-Repeatable Experiments and Non-Reproducible Results: The Reproducibility Crisis in Human Evaluation in NLP (2023.findings-acl)
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| Challenge: | reproducibility of human evaluations is rarely queried in NLP . authors estimate that just 5% of humanevaluations are repeatable . |
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| Challenge: | reproducibility of experiments has gained more attention in the NLP community . recent negative reproduction results indicate that published results are not verifiable . |
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