A human-centric method for evaluating a topic model where a random word is included into a topic is called:

Question

BlackTom AI · Accepted Answer

The question asks about a human-centric method for evaluating a topic model in which a random word is inserted into a topic.
Option A: 'Word addition' — This phrase suggests simply adding a word, but it does not capture the specific evaluation technique of inserting an anomalous word into a topic to test human辨识. The concept described in the question is more targeted than generic addition.
Option B: 'Word extraction' — This would imply pulling a word out or identifying words from a topic, which is the opposite action of inserting a random word to test human detection. Hence, it does not match the described method.
Option C: 'Word intrusion' — This option aligns with the described evaluation approach: you intrude or inject a random word into a topic to assess whether humans can notice that the word doesn't belong. This naming is consistent with established human-in-the-loop evaluation techniques in topic modeling.
Option D: 'Word imposition' — This term would suggest forcing or imposing a word into a topic, but it is not the standard label used for the described human-centric intrusion test. It’s not the conventional terminology for this method.
In summary, the evaluation approach described corresponds to the term that explicitly denotes inserting an extraneous word to probe human discernment, while the other terms fail to capture that exact methodology or are not standard labels for this technique.

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