A fully differentiable parser that stochastically samples projective dependency trees using Gumbel perturbations and dynamic programming to boost downstream task performance without direct supervision.
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A survey of argumentation mining techniques that reviews models from structured text to social media and proposes a flexible conceptual architecture framework for social media data.
TerraQ is a spatiotemporal question-answering engine for satellite image archives that processes natural language requests involving image metadata and knowledge base entities.
AI and NLP applied to educational artifacts within the Instructional Core Framework can identify advantages for teacher coaching, student support, and personalized learning.
citing papers explorer
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Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming
A fully differentiable parser that stochastically samples projective dependency trees using Gumbel perturbations and dynamic programming to boost downstream task performance without direct supervision.
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The evolution of argumentation mining: From models to social media and emerging tools
A survey of argumentation mining techniques that reviews models from structured text to social media and proposes a flexible conceptual architecture framework for social media data.
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TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives
TerraQ is a spatiotemporal question-answering engine for satellite image archives that processes natural language requests involving image metadata and knowledge base entities.
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Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts
AI and NLP applied to educational artifacts within the Instructional Core Framework can identify advantages for teacher coaching, student support, and personalized learning.