A fully differentiable parser that stochastically samples projective dependency trees using Gumbel perturbations and dynamic programming to boost downstream task performance without direct supervision.
Manning and Mihai Surdeanu and John Bauer and Jenny Rose Finkel and Steven Bethard and David McClosky , title =
5 Pith papers cite this work. Polarity classification is still indexing.
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LLMs produced coherent but incomplete ontologies for the Blue Amazon domain that required human refinement to be fully satisfactory.
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.
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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.