Spatial Language Understanding: Representation, Reasoning, and Grounding
暫譯: 空間語言理解：表徵、推理與基礎建設

Kordjamshidi, Parisa, Moens, Marie-Francine, Pustejovsky, James

Spatial Language Understanding: Representation, Reasoning, and Grounding
  • 出版商: Springer
  • 出版日期: 2025-10-19
  • 售價: $1,990
  • 貴賓價: 9.5 折 $1,891
  • 語言: 英文
  • 頁數: 106
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031995937
  • ISBN-13: 9783031995934
  • 相關分類: Natural Language Processing

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相關主題

商品描述

This book provides an overview of multiple aspects of spatial language understanding and explores recent trends of modeling based on very large foundational models and their applications. The authors address the following five main themes: spatial semantic representations in both symbolic and sub-symbolic spaces; spatial information extraction computational models; reasoning over spatial language; commonsense spatial understanding; and multiple modern and state-of-the-art downstream applications of spatial language understanding including dialogue systems, narrative discourse, and grounding language in the physical world with the multi-modal problem settings. One of the essential functions of natural language is to express spatial relationships between objects. Linguistic constructs can encode highly complex structures of objects, spatial relations between them, and patterns of motion through space relative to a reference point. The complexity of spatial language understanding and its importance in downstream tasks that involve grounding the language in the physical world has become evident and important to the natural language processing research community. In addition, this topic has recently attracted the attention of various sub-communities in the intersection of natural language, computer vision, and robotics.

商品描述(中文翻譯)

這本書提供了空間語言理解的多個方面的概述，並探討了基於非常大型基礎模型的建模最近趨勢及其應用。作者針對以下五個主要主題進行討論：符號和非符號空間中的空間語義表示；空間信息提取的計算模型；對空間語言的推理；常識性空間理解；以及空間語言理解的多個現代和最先進的下游應用，包括對話系統、敘事話語，以及在多模態問題設置中將語言與物理世界相結合。自然語言的一個基本功能是表達物體之間的空間關係。語言結構可以編碼物體的高度複雜結構、它們之間的空間關係，以及相對於參考點的空間運動模式。空間語言理解的複雜性及其在涉及將語言與物理世界相結合的下游任務中的重要性已變得顯而易見，並對自然語言處理研究社群至關重要。此外，這一主題最近吸引了自然語言、計算機視覺和機器人技術交叉領域中各個子社群的關注。

作者簡介

Parisa Kordjamshidi, Ph.D, is an Associate Professor in the Department of Computer Science and Engineering at Michigan State University. She received her Ph.D. in Computer Science from KU Leuven. Dr. Kordjamshidi's main research interests are natural language processing, combining vision and language, and neurosymbolic AI.

Marie-Francine (Sien) Moens, Ph.D, is Professor Emerita in the Department of Computer Science and Director of the Language Intelligence and Information Retrieval Lab (LIIR) at KU Leuven. Her research interests include machine learning for natural language, speech, and image processing; multimedia information retrieval; deep learning and latent variable models; and language understanding, information extraction from text, and content recognition.

James Pustejovsky, Ph.D., is the TJX Feldberg Chair in Computer Science at Brandeis University, where he is also Chair of the Linguistics Program, Chair of the Computational Linguistics M.S. Program, and Director of the Lab for Linguistics and Computation. He has authored numerous books on lexical and computational semantics, linguistic annotation, and temporal and spatial reasoning. He conducts research in areas of computational linguistics, lexical semantics, multimodal interactions and reasoning, situated grounding, and developing standards and annotated datasets for machine learning.

作者簡介(中文翻譯)

Parisa Kordjamshidi 博士是密西根州立大學計算機科學與工程系的副教授。她在 KU Leuven 獲得計算機科學博士學位。Kordjamshidi 博士的主要研究興趣包括自然語言處理、視覺與語言的結合，以及神經符號人工智慧。

Marie-Francine (Sien) Moens 博士是 KU Leuven 計算機科學系的名譽教授及語言智慧與資訊檢索實驗室 (LIIR) 的主任。她的研究興趣包括自然語言、語音和影像處理的機器學習；多媒體資訊檢索；深度學習和潛變量模型；以及語言理解、文本中的資訊提取和內容識別。

James Pustejovsky 博士是布蘭代斯大學計算機科學的 TJX Feldberg 教授，並擔任語言學計畫的主任、計算語言學碩士計畫的主任，以及語言學與計算實驗室的主任。他著有多本關於詞彙和計算語義學、語言標註以及時間和空間推理的書籍。他的研究領域包括計算語言學、詞彙語義學、多模態互動與推理、情境基礎，以及為機器學習開發標準和註釋數據集。

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