LF Limitations

Limitations of Programmatic Labeling

Programmatic labeling functions, although valuable for tagging key phrases, have certain limitations that stem from their lack of contextual awareness. It is important to consider these limitations when relying solely on programmatic labeling functions for data annotation. Some of the key limitations are:

Lack of Contextual Awareness

Programmatic labeling functions often lack the ability to comprehend the context in which certain words or phrases are used. This can lead to misinterpretation or misclassification of data. For example, words like "bank" can have different meanings depending on the context (e.g., financial institution vs. riverbank), and programmatic labeling functions may struggle to accurately capture the intended meaning.

Ambiguity of Word Meanings

Words can have multiple meanings, and programmatic labeling functions may not always capture the intended sense. For instance, the word "run" has approximately 645 different meanings according to WordNet. Without proper contextual understanding, programmatic labeling functions may assign incorrect labels based on a single keyword, leading to inaccurate annotations.