Glossary

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AAC Corpus(also: AAC Text Corpus, Augmentative Communication Corpus)

A collection of text produced by or representative of Augmentative and Alternative Communication (AAC) device users, used for training and evaluating language models and word prediction systems. AAC corpora are notoriously difficult to assemble because AAC users produce text…

Aspect-Based Sentiment Analysis(also: ABSA, Aspect-Level Sentiment Classification)

A natural language processing technique that identifies both the specific topics or aspects being discussed in text (such as food quality, customer service, or pricing in a restaurant review) and the sentiment expressed about each aspect (positive, negative, or neutral). Unlike…

Atomic Facts(also: Atomic Claims)

Self-contained units of information extracted from longer text, each representing a single verifiable claim or observation. In AI reliability research, decomposing model responses into atomic facts enables systematic comparison of what different models agree or disagree about.…

Attention Mechanism(also: Attention)

A technique in neural networks that allows models to focus on relevant parts of the input when generating each part of the output, rather than relying solely on a fixed-length context vector. In sequence-to-sequence models, attention computes a weighted combination of all…

Automated Readability Scoring(also: ARSS, Automated Readability Scoring System, Readability Assessment)

The use of computational methods to automatically evaluate the reading difficulty level of a text. Traditional readability formulas like Flesch-Kincaid and Dale-Chall use surface features such as average sentence length, word length, and vocabulary frequency to assign…

Automatic Readability Assessment(also: Readability Prediction, Reading Level Assessment)

The computational task of predicting how difficult a text is for a reader, usually expressed as a grade level or a readability score. Modern systems treat readability as a machine-learning classification or regression problem that combines shallow surface features (sentence…

Automatic Text Simplification(also: ATS, Automated Simplification)

The use of computational methods to reduce the complexity of text while preserving its meaning, making it more accessible to readers with disabilities or limited literacy. Automatic text simplification includes lexical simplification (replacing difficult words with simpler…

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