Claims

A combination of LSA, frequency-weighted word overlap, and regular expressions is AutoTutor's best semantic matcher; syntactic parsers proved not useful

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2016 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2019: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? The best semantic matching results for comparing student contributions with expectations and misconceptions came from combining latent semantic analysis, frequency-weighted word overlap, and regular expressions, while syntactic computations did not prove useful. → Graesser 2016

Evidence

Graesser 2016

Graesser, A. C. (2016). Conversations with AutoTutor Help Students Learn. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-015-0086-4

q2 · i? · review · r2

The article reports the authors' multi-year evaluation of semantic matchers for AutoTutor, finding the LSA plus word overlap plus regular expressions combination best, with LSA plus regular expressions showing "high reliability scores" against human experts. Syntactic computations were not useful because student contributions are often telegraphic and ungrammatical.

"The best results are a combination of latent semantic analysis (LSA) (Landauer et al. 2007), frequency weighted word overlap (rarer words and negations have higher weight), and regular expressions. In fact, LSA plus regular expressions have had high reliability scores in comparisons wi th human experts"

Discussion

Page metadata
Field Value
type claim
id lsa-word-overlap-regex-best-semantic-matcher
title A combination of LSA, frequency-weighted word overlap, and regular expressions is AutoTutor's best semantic matcher; syntactic parsers proved not useful
description A combination of LSA, frequency-weighted word overlap, and regular expressions is AutoTutor's best semantic matcher; syntactic parsers proved not useful
status review
evidence_strength weak
newest_evidence 2016
recheck_by 2019
generated by process:wiki-ingest on 2026-10-17
trust unverified — no one has confirmed this page's content
sources 1 — graesser-2016

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