{"product_id":"integration-of-world-knowledge-for-natural-language-understanding-9789491216527","title":"Integration of World Knowledge for Natural Language Understanding","description":"\u003cp\u003e • Author(s): Ekaterina Ovchinnikova\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Atlantis Press\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications.\u003c\/p\u003e\u003cp\u003eFirst, an introduction to research areas relevant for NLU is given. We review approaches to linguistic meaning, explore knowledge resources, describe semantic parsers, and compare two main forms of inference: deduction and abduction.\u003c\/p\u003e\u003cp\u003eIn the main part of the book, we propose an integrative knowledge base combining lexical-semantic, ontological, and distributional knowledge. A particular attention is payed to ensuring its consistency. We then design a reasoning procedure able to make use of the large scale knowledge base. We experiment both with a deduction-based NLU system and with an abductive reasoner. For evaluation, we use three different NLU tasks: recognizing textual entailment, semantic role labeling, and interpretation of noun dependencies.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45275530592407,"sku":"9789491216527","price":7345.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789491216527.webp?v=1769283185","url":"https:\/\/atlanticbooks.com\/products\/integration-of-world-knowledge-for-natural-language-understanding-9789491216527","provider":"Atlantic Books","version":"1.0","type":"link"}