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This chapter examines the development of systems for coreference resolution and text entailment, utilizing LLMs such as BART, RoBERTa, and DeBERTa, as well as SLMs, like DistilRoBERTa, TinyBERT, and MiniLM. These tasks are critical for deep language understanding—coreference resolution identifies relationships between entities across a text, while text entailment determines whether one sentence logically follows from another.

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Coreference Resolution and Text Entailment

  • 章节

  • 发表日期：

    2025年

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  • Venkata Gunnu,
  • Shubham Shah,
  • Anvesh Minukuri,
  • Jayanth Gopu

摘要

This chapter examines the development of systems for coreference resolution and text entailment, utilizing LLMs such as BART, RoBERTa, and DeBERTa, as well as SLMs, like DistilRoBERTa, TinyBERT, and MiniLM. These tasks are critical for deep language understanding—coreference resolution identifies relationships between entities across a text, while text entailment determines whether one sentence logically follows from another.