Anna N. Rafferty

Publications55
h-index15
Citations1,066
Highly Influential Citations66
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Finding Contradictions in Text
TLDR
We propose an appropriate definition of contradiction for NLP tasks and develop available corpora, from which we construct a typology of contradictions. Expand
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Parsing Three German Treebanks: Lexicalized and Unlexicalized Baselines
TLDR
We examine the performance of three techniques on three treebanks (Negra, Tiger, and TuBa-D/Z): (i) Markovization, (ii) lexicalization, and state splitting. Expand
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Faster Teaching by POMDP Planning
TLDR
We frame the problem of optimally selecting teaching actions using a decision-theoretic approach and show how to formulate teaching as a partially-observable Markov decision process (POMDP) planning problem. Expand
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Faster Teaching via POMDP Planning
TLDR
We frame the problem of optimally selecting teaching actions using a decision-theoretic approach and show how to formulate teaching as a partially observable Markov decision process planning problem. Expand
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Random Walks for Text Semantic Similarity
TLDR
This paper presents a novel variant of the vector space model of text similarity based on a random walk algorithm. Expand
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Automated guidance for student inquiry.
In 4 classroom experiments we investigated uses for technologies that automatically score student generated essays, concept diagrams, and drawings in inquiry curricula. We used the automatic scoresā€¦ Expand
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  • 4
AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning
TLDR
We present AXIS (Adaptive eXplanation Improvement System), a system that dynamically improves explanations over time as a byproduct of learnersā€™ collective interactions. Expand
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Computer-Guided Inquiry to Improve Science Learning
TLDR
Automated guidance on essays and drawings can improve learning in precollege and college courses, by taking advantage of new algorithms to automatically score student essays. Expand
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  • 3
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Applying Learning Factors Analysis to Build Stereotypic Student Models
TLDR
This paper demonstrates how stereotypic student groups can be created to enhance cognitive models in computer tutors and demonstrate that the resulting groups do require different cognitive models. Expand
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An Overview of Machine Teaching
TLDR
In this paper we try to organize machine teaching as a coherent set of ideas. Expand
  • 66
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