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Showing 1 to 3 of 3 for “"sentence correction"”.

  1. Reinforcement Learning–Based Discrete Prompt Optimization for Neuro-Symbolic Structured Simplification of Complex Game Descriptions with Large Language Models

    … natural language into controlled GameChangineer sentences via scenario normalization, retrieval-augmented code generation, and AST-based FACTS extraction. A reinforcement learning framework based on Proximal Policy Optimization optimizes discrete prompt edits using task-specific rewards that …

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  2. Improving Deposition Summarization using Enhanced Generation and Extraction of Entities and Keywords

    … can be helpful. Since the transformed canonical sentences are not perfectly readable, we explore methods based on heuristics, language modeling, and deep learning, to improve the quality of sentences in terms of grammaticality, sentence correctness, and relevance. Further, extracting important …

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  3. Summarizing Legal Depositions

    … to correct the transformed declarative sentences. The sentence correction improved the readability of the transformed sentences. Seventh, we developed a methodology to break a deposition into its topical aspects. An ontology for aspects was defined for legal depositions, and classifiers …

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