عنوان

Semantic role labeling /

شابک

1598298321

شابک

9781598298321

شابک اشتباه

1598298313

شابک اشتباه

9781598298314

شماره

b781666

عنوان اصلي

Semantic role labeling /

نام عام مواد

[Book]

نام نخستين پديدآور

Martha Palmer, Daniel Gildea, Nianwen Xue.

محل نشرو پخش و غیره

[San Rafael, Calif.] :

نام ناشر، پخش کننده و غيره

Morgan & Claypool Publishers,

تاریخ نشرو بخش و غیره

©2010.

نام خاص و کميت اثر

1 online resource (ix, 91 pages) :

ساير جزييات

illustrations (some color)

عنوان فروست

Synthesis lectures on human language technologies,

مشخصه جلد

#6

شاپا ي ISSN فروست

1947-4040 ;

متن يادداشت

Includes bibliographical references (pages 79-89).

متن يادداشت

Semantic roles. Introduction -- Linguistic background -- More elaborated frameworks -- Available lexical resources. FrameNet -- VerbNet -- PropBank -- Semlink -- Summary -- Machine learning for semantic role labeling. Identification and classification -- Features used for classification -- Choice of machine learning method -- Joint inference -- Impact of parsing -- Evaluation -- Genre -- Choice of resources and combination of resources -- Unsupervised and partially supervised approaches -- A cross-lingual perspective. Semantic role projection -- Semantic role alignment -- Language-(in)dependent semantic role labeling -- Summary. Bibliography -- Authors' biographies.

بدون عنوان

0

متن يادداشت

This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applying both supervised and unsupervised machine learning to this task, with a description of the standard stages and feature choices, as well as giving details of several specific systems. Recent advances include the use of joint inference to take advantage of context sensitivities, and attempts to improve performance by closer integration of the syntactic parsing task with semantic role labeling. Chapter 3 also discusses the impact the granularity of the semantic roles has on system performance. Having outlined the basic approach with respect to English, Chapter 4 goes on to discuss applying the same techniques to other languages, using Chinese as the primary example. Although substantial training data is available for Chinese, this is not the case for many other languages, and techniques for projecting English role labels onto parallel corpora are also presented.

منبع سفارش / آدرس اشتراک

Safari Books Online

شماره انبار

CL0500000332

عنوان

Semantic role labeling.

شماره استاندارد بين المللي کتاب و موسيقي

9781598298314

موضوع مستند نشده

Computational linguistics.

موضوع مستند نشده

Semantics.

موضوع مستند نشده

Computational linguistics.

موضوع مستند نشده

LANGUAGE ARTS & DISCIPLINES-- Linguistics-- Historical & Comparative.

موضوع مستند نشده

Semantics.

موضوع مستند نشده

LAN-- 009010

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Palmer, Martha Stone.

مستند نام اشخاص تاييد نشده

Gildea, Daniel.

مستند نام اشخاص تاييد نشده

Xue, Nianwen.

تاريخ عمليات

20201206202126.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y