Multilingual Entity Linking
暫譯: 多語言實體連結

Tsai, Chen-Tse, Upadhyay, Shyam, Roth, Dan

Multilingual Entity Linking
  • 出版商: Springer
  • 出版日期: 2025-02-18
  • 售價: $2,040
  • 貴賓價: 9.5 折 $1,938
  • 語言: 英文
  • 頁數: 154
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031749006
  • ISBN-13: 9783031749001

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more knowledge bases (KBs). The authors first provide background on the topic and emphasize why it is a crucial step toward understanding natural language text. As most of the content on the internet is not in English, the book also discusses cross-lingual EDL. The authors present the challenges associated with EDL problems and explain the existing solutions. The book covers the core challenges that apply to all EDL problems, as well as the additional challenges associated with cross-lingual EDL problems. The authors also survey relevant research papers, highlight recent trends, and identify areas for future research.

商品描述(中文翻譯)

本書專注於實體發現與連結（Entity Discovery and Linking, EDL），這是識別概念和實體、消歧義並將其對應到一個或多個知識庫（Knowledge Bases, KBs）中的問題。作者首先提供該主題的背景，並強調為什麼這是理解自然語言文本的重要步驟。由於互聯網上大部分內容並非以英語呈現，本書還討論了跨語言的 EDL。作者提出了與 EDL 問題相關的挑戰，並解釋了現有的解決方案。本書涵蓋了適用於所有 EDL 問題的核心挑戰，以及與跨語言 EDL 問題相關的額外挑戰。作者還調查了相關的研究論文，突顯了近期的趨勢，並確定了未來研究的領域。

作者簡介

Chen-Tse Tsai, Ph.D., is a Senior Research Scientist at Bloomberg, specializing in information extraction and time series prediction. He received his Ph.D. in Computer Science from the University of Illinois Urbana-Champaign and his M.S. in Computer Science from the National Taiwan University. Dr. Tsai has authored over 20 papers presented at top-tier NLP and ML conferences, including EMNLP, NAACL, EACL, CoNLL, and AAAI. As an action editor for ACL Rolling Review and a reviewer for various NLP conferences and journals, he actively contributes to the scholarly community.

Shyam Upadhyay, Ph.D., is a Staff Research Scientist at Google Deepmind, where he has worked on products such as the Google Assistant and Gemini. He received his Ph.D. in Natural Language Processing (NLP) from the University of Pennsylvania in 2019, where his focus was on multilingual representation learning and low-resource NLP. He has published over 20 papers at top-tier NLP conferences, such as EMNLP, ACL, NAACL, *SEM, Interspeech, and AAAI. He has also served as the action editor for ACL rolling review, associate editor for ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), and as an area chair for several ACL conferences.

Dan Roth, Ph.D., is the Eduardo D. Glandt Distinguished Professor at the University of Pennsylvania Department of Computer and Information Science, a VP and Distinguished Scientist at Amazon AWS AI, and a Fellow of the AAAS, the ACM, AAAI, and the ACL. He received his Ph.D. in Computer Science from Harvard University and his B.A Summa cum laude in Mathematics from the Technion, Israel. Dr. Roth has published broadly in machine learning, natural language processing, knowledge representation and reasoning, and learning theory, and he has developed advanced machine learning based tools for natural language applications that are being used widely. In 2017, Dr. Roth was awarded the John McCarthy Award, the highest award the AI community gives to mid-career AI researchers.

作者簡介(中文翻譯)

陳澤蔡博士是彭博社的高級研究科學家，專注於資訊擷取和時間序列預測。他在伊利諾伊大學香檳分校獲得計算機科學博士學位，並在國立台灣大學獲得計算機科學碩士學位。蔡博士已發表超過20篇論文，並在頂尖的自然語言處理（NLP）和機器學習（ML）會議上進行報告，包括EMNLP、NAACL、EACL、CoNLL和AAAI。作為ACL Rolling Review的行動編輯以及多個NLP會議和期刊的審稿人，他積極貢獻於學術社群。

Shyam Upadhyay博士是Google Deepmind的研究科學家，他參與了Google Assistant和Gemini等產品的開發。他於2019年在賓夕法尼亞大學獲得自然語言處理（NLP）博士學位，研究重點為多語言表示學習和低資源NLP。他在頂尖的NLP會議上發表了超過20篇論文，如EMNLP、ACL、NAACL、*SEM、Interspeech和AAAI。他還擔任ACL Rolling Review的行動編輯、ACM《亞洲及低資源語言資訊處理期刊》（TALLIP）的副編輯，以及多個ACL會議的區域主席。

Dan Roth博士是賓夕法尼亞大學計算機與資訊科學系的Eduardo D. Glandt傑出教授，亞馬遜AWS AI的副總裁及傑出科學家，並且是美國科學促進會（AAAS）、計算機協會（ACM）、AAAI和ACL的會士。他在哈佛大學獲得計算機科學博士學位，並在以色列理工學院獲得數學的優等榮譽學士學位。Roth博士在機器學習、自然語言處理、知識表示與推理以及學習理論等領域發表了廣泛的研究，並開發了廣泛使用的基於機器學習的自然語言應用工具。2017年，Roth博士獲得約翰·麥卡錫獎，這是人工智慧社群頒發給中期職業人工智慧研究者的最高榮譽。

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