Combining CSCBLI, linear transformation, and the iterative VecMap framework yields the top lexicon-induction accuracy on English with Sinhala, Tamil, and Punjabi, but the gains are small and the reported scores come from tuning on the evaluation sets.
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research
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abstract
We analysed a sample of NLP research papers archived in ACL Anthology as an attempt to quantify the degree of openness and the benefit of such an open culture in the NLP community. We observe that papers published in different NLP venues show different patterns related to artefact reuse. We also note that more than 30% of the papers we analysed do not release their artefacts publicly, despite promising to do so. Further, we observe a wide language-wise disparity in publicly available NLP-related artefacts.
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Unsupervised Bilingual Lexicon Induction for Low Resource Languages
Combining CSCBLI, linear transformation, and the iterative VecMap framework yields the top lexicon-induction accuracy on English with Sinhala, Tamil, and Punjabi, but the gains are small and the reported scores come from tuning on the evaluation sets.