Annotated Corpus Statistics and Results Sample Clauses

Annotated Corpus Statistics and Results. Table 3.2 lists general statistics on the annotated corpus, including number of documents, sentences, tokens, annotations and averages over these categories. Over a total of 90 hours, the students annotated ~31,000 entities, setting the average annotation rate at 346 per hour, or 5.7 per minute, which is higher than we expected. The previous data set we used contained only around 11,000 annotations, so we almost tripled the amount of available training data. While this seems like a large amount of entities, the amount of tokens seen by annotators is but a fraction (0.066%) of the total number of words in the data set. The breakdown per entity type is shown in Table 3.3. Documents 15 Sentences 33,505 Avg. sentences per document 2,234 Tokens 439,375 Avg. tokens per sentence 13.1 Annotation spans 31,151 Annotated tokens 42,948 Avg. tokens per annotation 1.38 Table 3.2: Annotated corpus statistics. Entity Type Quantity Artefact (ART) 8,987 Time Period (PER) 8,358 Location (LOC) 4,436 Context (CON) 5,302 Material (MAT) 1,225 Species (SPE) 2,843 TOTAL 31,151 Table 3.3: Number of annotations per entity type in the data set
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Annotated Corpus Statistics and Results. ‌ Table 3.2 lists general statistics on the annotated corpus, including number of documents, sentences, tokens, annotations and averages over these categories. Over a total of 90 hours, the students annotated ~31,000 entities, setting the average annotation rate at 346 per hour, or 5.7 per minute, which is higher than we expected. The previous data set we used contained only around 11,000 annotations, so we almost tripled the amount of available training data. While this seems like a large amount of entities, the amount of tokens seen by annotators is but a fraction (0.066%) of the total number of words in the data set. The breakdown per entity type is shown in Table 3.3.
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Related to Annotated Corpus Statistics and Results

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