taggers

the team used sophisticated taggers to identify named entities in the text.

part-of-speech taggers helped analyze the grammatical structure of each sentence.

we are training new taggers to improve sentiment analysis accuracy.

the data scientists relied on taggers for efficient text processing.

error analysis revealed limitations in the existing taggers' performance.

the researchers compared the output of different taggers for consistency.

using taggers, we could automatically categorize news articles by topic.

the system integrated taggers to extract key information from customer reviews.

the accuracy of the taggers was evaluated on a held-out test set.

we fine-tuned the taggers with a larger training dataset for better results.

the pipeline included a pre-processing step to clean the text before taggers.