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Found 6 papers, 2 papers with code
Contrapositive Local Class Inference
Certain types of classification problems may be performed at multiple levels of granularity; for example, we might want to know the sentiment polarity of a document or a sentence, or a phrase.
Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation
Data augmentation has been shown to be effective in providing more training data for machine learning and resulting in more robust classifiers.
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus
The variety of revision unit scope and purpose granularity levels in ArgRewrite, along with the inclusion of new types of meta-data, can make it a useful resource for research and applications that involve revision analysis.
Unsupervised Part-of-Speech Induction
Part-of-Speech (POS) tagging is an old and fundamental task in natural language processing.
MIZAN: A Large Persian-English Parallel Corpus
One of the most major and essential tasks in natural language processing is machine translation that is now highly dependent upon multilingual parallel corpora.
