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{ "item_title" : "Bridging the Gap Between Models and Reality", "item_author" : [" Herlie "], "item_description" : "Natural language processing (NLP) strives to bridge the gap between the complex world of human language and the structured world of machines. Coreference, the phenomenon where words or phrases refer back to previously mentioned entities, plays a crucial role in this endeavor. Understanding and resolving coreference is essential for tasks like machine translation, question answering, and sentiment analysis, as it allows machines to grasp the relationships between elements in a sentence and build a coherent understanding of the text. The Challenge of Coreference Human brains excel at coreference resolution. We effortlessly infer who he, she, or it refers to based on context and world knowledge. However, for machines, coreference presents a significant challenge. Consider the sentence: The scientist discovered a new element. She named it after her hometown.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/38/427/798/3384277988_b.jpg", "price_data" : { "retail_price" : "16.99", "online_price" : "16.99", "our_price" : "16.99", "club_price" : "16.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Bridging the Gap Between Models and Reality|Herlie

Bridging the Gap Between Models and Reality : Coreference Effects in Natural Language

by Herlie
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Overview

Natural language processing (NLP) strives to bridge the gap between the complex world of human language and the structured world of machines. Coreference, the phenomenon where words or phrases refer back to previously mentioned entities, plays a crucial role in this endeavor. Understanding and resolving coreference is essential for tasks like machine translation, question answering, and sentiment analysis, as it allows machines to grasp the relationships between elements in a sentence and build a coherent understanding of the text. The Challenge of Coreference Human brains excel at coreference resolution. We effortlessly infer who "he," "she," or "it" refers to based on context and world knowledge. However, for machines, coreference presents a significant challenge. Consider the sentence: "The scientist discovered a new element. She named it after her hometown.

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Details

  • ISBN-13: 9783384277985
  • ISBN-10: 3384277988
  • Publisher: Tredition Gmbh
  • Publish Date: July 2024
  • Dimensions: 9 x 6 x 0.29 inches
  • Shipping Weight: 0.42 pounds
  • Page Count: 124

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