Closed-Set Attribution
Definition
An attribution task where the true author is assumed to be one of a defined list of candidates. The system ranks candidates; it does not need to handle the possibility that none of them is the author.
- Field
- Authorship attribution
- Assumption
- True author is among a defined candidate list
- System output
- Ranking of candidates
- Contrast
- Open-set attribution allows no match
Common questions
What is the practical risk of applying a closed-set method to a real forensic case?+
If the actual author of the questioned document is not among the candidate list, a closed-set system will still return its best-ranked candidate as if that person were guilty of authorship, producing a confident but wrong attribution rather than flagging that no good match exists.
When is a closed-set design appropriate in casework?+
It fits situations where the pool of possible authors is genuinely known and limited, such as distinguishing which of several named employees wrote an internal email, rather than cases where the true author could be someone outside any known list.
Related terms
- Feature Extraction
- The process of converting raw text into a numerical vector of linguistic measurements. The choice of features determines what signal the classifier...
- Function Words
- Grammatical words, prepositions, conjunctions, articles, pronouns, with little independent content meaning but high frequency in any text. Because they are used without...
- Idiolect
- The language variety specific to an individual, comprising their characteristic vocabulary, syntactic preferences, spelling habits, punctuation patterns, and discourse-level style. Authorship attribution...
- N-Gram
- A contiguous sequence of n items (characters, words, or part-of-speech tags) extracted from text. Character n-grams and word n-grams are both standard...
- Open-Set Attribution
- An attribution task where the true author may or may not appear in the candidate pool. The system must both rank candidates...