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Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
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Zhang, Yi. - : Purdue University Graduate School, 2022
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Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
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Zhang, Yi. - : Purdue University Graduate School, 2022
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Probing Datasets for Noisy Texts ...
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Abstract:
Context Probing tasks are popular among NLP researchers to assess the richness of the encoded representations of linguistic information. Each probing task is a classification problem, and the model’s performance shall vary depending on the richness of the linguistic properties crammed into the representation. This dataset contains five new probing datasets consist of noisy texts (Tweets) which can serve as a benchmark dataset for researchers to study the linguistic characteristics of unstructured and noisy texts. File Structure Format: A tab-separated text file Column 1: train/test/validation split (tr-train, te-test, va-validation) Column 2: class label (refer to the content section for the class labels of each task file) Column 3: Tweet message (text) Column 4: a unique ID Content sent_len.tsv In this classification task, the goal is to predict the sentence length in 8 possible bins (0-7) based on their lengths; 0: (5-8), 1: (9-12), 2: (13-16), 3: (17-20), 4: (21-25), 5: (26-29), 6: (30-33), 7: (34-70). ...
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Keyword:
80107 Natural Language Processing; FOS Computer and information sciences
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URL: https://dx.doi.org/10.25955/604c5307db043
https://federation.figshare.com/articles/dataset/Probing_Datasets/14211878
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EMET: Embeddings from Multilingual-Encoder Transformer for Fake News Detection ...
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