WebSite Logo
  • Content
  • Similar Resources
  • Metadata
  • Cite This
  • Log-in
  • Fullscreen
Log-in
Do not have an account? Register Now
Forgot your password? Account recovery
  1. Transactions on Speech and Language Processing (TSLP)
  2. ACM Transactions on Speech and Language Processing (TSLP) : Volume 10
  3. Issue 3(Special issue on multiword expressions: From theory to practice and use, part 2), July 2013
  4. A computational model of logical metonymy
Loading...

Please wait, while we are loading the content...

ACM Transactions on Speech and Language Processing (TSLP) : Volume 10
Issue 4, December 2013
Issue 3(Special issue on multiword expressions: From theory to practice and use, part 2), July 2013
Combining compound recognition and PCFG-LA parsing with word lattices and conditional random fields
Word sense and semantic relations in noun compounds
On collocations and topic models
A computational model of logical metonymy
Sentiment profiles of multiword expressions in test-taker essays: The case of noun-noun compounds
Semantic interpretation of noun compounds using verbal and other paraphrases
Issue 2(Special issue on multiword expressions: From theory to practice and use, part 1), June 2013
Issue 1, March 2013
ACM Transactions on Speech and Language Processing (TSLP) : Volume 9
ACM Transactions on Speech and Language Processing (TSLP) : Volume 8
ACM Transactions on Speech and Language Processing (TSLP) : Volume 7
ACM Transactions on Speech and Language Processing (TSLP) : Volume 6
ACM Transactions on Speech and Language Processing (TSLP) : Volume 5
ACM Transactions on Speech and Language Processing (TSLP) : Volume 4
ACM Transactions on Speech and Language Processing (TSLP) : Volume 3
ACM Transactions on Speech and Language Processing (TSLP) : Volume 2
ACM Transactions on Speech and Language Processing (TSLP) : Volume 1

Similar Documents

...
Word sense and semantic relations in noun compounds

Article

...
Unsupervised similarity-based word sense disambiguation using context vectors and sentential word importance

Article

...
Word sense disambiguation: A survey

Article

...
Using word sense disambiguation for semantic role labeling.

...
PageRank on Semantic Networks, with Application to Word Sense Disambiguation

Article

...
Pagerank on semantic networks, with application to word sense disambiguation (2004)

Article

...
A Reexamination of MRD-Based Word Sense Disambiguation

Article

...
Word sense disambiguation using semantic relatedness measurement

Article

...
Word sense disambiguation based on structured semantic space.

A computational model of logical metonymy

Content Provider ACM Digital Library
Author Teufel, Simone Kaplan, Jakub Shutova, Ekaterina Korhonen, Anna
Copyright Year 2013
Abstract The use of figurative language is ubiquitous in natural language texts and it is a serious bottleneck in automatic text understanding. A system capable of interpreting figurative expressions would be an invaluable addition to the real-world natural language processing (NLP) applications that need to access semantics, such as machine translation, opinion mining, question answering and many others. In this article we focus on one type of figurative language, logical metonymy, and present a computational model of its interpretation bringing together statistical techniques and the insights from linguistic theory. Compared to previous approaches this model is both more informative and more accurate. The system produces sense-level interpretations of metonymic phrases and then automatically organizes them into conceptual classes, or roles, discussed in the majority of linguistic literature on the phenomenon.
Starting Page 1
Ending Page 28
Page Count 28
File Format PDF
ISSN 15504875
e-ISSN 15504883
DOI 10.1145/2483969.2483973
Volume Number 10
Issue Number 3
Journal ACM Transactions on Speech and Language Processing (TSLP)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-07-11
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Logical metonymy Semantic interpretation Word sense disambiguation
Content Type Text
Resource Type Article
Subject 1700/1701 Computational Mathematics
  • About
  • Disclaimer
  • Feedback
  • Sponsor
  • Contact
  • Chat with Us
About National Digital Library of India (NDLI)
NDLI logo

National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.

Learn more about this project from here.

Disclaimer

NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.

Feedback

Sponsor

Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.

Contact National Digital Library of India
Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302
See location in the Map
03222 282435
Mail: support@ndl.gov.in
Sl. Authority Responsibilities Communication Details
1 Ministry of Education (GoI),
Department of Higher Education
Sanctioning Authority https://www.education.gov.in/ict-initiatives
2 Indian Institute of Technology Kharagpur Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project https://www.iitkgp.ac.in
3 National Digital Library of India Office, Indian Institute of Technology Kharagpur The administrative and infrastructural headquarters of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
4 Project PI / Joint PI Principal Investigator and Joint Principal Investigators of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
Prof. Saswat Chakrabarti  will be added soon
5 Website/Portal (Helpdesk) Queries regarding NDLI and its services support@ndl.gov.in
6 Contents and Copyright Issues Queries related to content curation and copyright issues content@ndl.gov.in
7 National Digital Library of India Club (NDLI Club) Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach clubsupport@ndl.gov.in
8 Digital Preservation Centre (DPC) Assistance with digitizing and archiving copyright-free printed books dpc@ndl.gov.in
9 IDR Setup or Support Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops idr@ndl.gov.in
I will try my best to help you...
Cite this Content
Loading...