research-article

Talking to computers in natural language

Author:

Percy LiangAuthors Info & Claims

XRDS: Crossroads, The ACM Magazine for Students, Volume 21, Issue 1

Pages 18 - 21

https://doi.org/10.1145/2659831

Published: 14 October 2014 Publication History

Get Access

Abstract

Natural language understanding is as old as computing itself, but recent advances in machine learning and the rising demand of natural-language interfaces make it a promising time to once again tackle the long-standing challenge.

References

[1]

Bobrow, D. G. Natural Language Input for a Computer Problem Solving System. AI Technical Reports (1964-2004). MIT. 1964. http://hdl.handle.net/1721.1/6903

Google Scholar

[2]

Woods, W.A., Kaplan, R.M., and Webber, B.N. The Lunar Sciences Natural Language Information System: Final report. Technical report. BBN Report 2378. Bolt Beranek and Newman Inc., 1972.

Google Scholar

[3]

Winograd, T. Understanding Natural Language. Academic Press, New York, 1972.

Digital Library

Google Scholar

[4]

Bar-Hillel, Y. Language and Information: Selected Essays on Their Theory and Application. Jerusalem, Addison-Wesley/The Jerusalem Academic Press, 1964.

Google Scholar

[5]

Ferrucci, D., Brown, E., Chu-Carroll, J., Fan, J., Gondek, D., Kalyanpur, A.A., Lally, A., Murdock, J.W., Nyberg, E., Prager, J., Schlaefer, N., and Welty, C. Building Watson: An overview of the DeepQA project. AI Magazine 31, 3 (2013), 59--79.

Google Scholar

[6]

Liang, P. and Potts, C. Bringing Machine Learning and Compositional Semantics Together. Annual Reviews of Linguistics (to appear).

Google Scholar

[7]

Zelle, M. and Mooney, R.J. Learning to Parse Database Queries Using Inductive Logic Programming. In Proceedings of the Thirteenth National Conference on Artificial intelligence- Vol. 2 (Portland, Aug.) AAAI Press, 1996, 1050--1055.

Digital Library

Google Scholar

[8]

Zettlemoyer, L.S. and Collins, M. Learning to Map Sentences to Logical Form: Structured classification with probabilistic categorial grammars. In Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (Edinburgh, June). AUAI Press, 2005, 658--666.

Google Scholar

[9]

Berant, J., Chou, A., Frostig, R., and Liang, P. Semantic Parsing On Freebase From Question-Answer Pairs. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (Seattle, Oct.). Association for Computational Linguistics Stroudsburg (ACL), 2013.

Google Scholar

Cited By

View all

Mishra R(2023)Analysis of hybrid combination of NLP and and AI for an any kind of applications2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE57410.2023.10182993(2087-2090)Online publication date: 12-May-2023
https://doi.org/10.1109/ICACITE57410.2023.10182993
Pimentel TViana JVeloso AZiviani N(2018)Fast and Effective Neural Networks for Translating Natural Language into DenotationsString Processing and Information Retrieval10.1007/978-3-030-00479-8_27(334-347)Online publication date: 14-Sep-2018
https://doi.org/10.1007/978-3-030-00479-8_27

Index Terms

Talking to computers in natural language
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces

Recommendations

Natural Language Data Management and Interfaces
Natural Language Data Management and Interfaces
Route description using natural language generation technology
AIRS'08: Proceedings of the 4th Asia information retrieval conference on Information retrieval technology

This paper aims to solve the problems of generating natural language route description in Chinese way-finding systems, on the basis of datasets of geographical information systems and natural language generation technology. The techniques of deriving ...

Comments

Information & Contributors

Information

Published In

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2014

Published in XRDS Volume 21, Issue 1

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Popular
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
836
Total Downloads

Downloads (Last 12 months)13
Downloads (Last 6 weeks)0

Reflects downloads up to 17 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Mishra R(2023)Analysis of hybrid combination of NLP and and AI for an any kind of applications2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE57410.2023.10182993(2087-2090)Online publication date: 12-May-2023
https://doi.org/10.1109/ICACITE57410.2023.10182993
Pimentel TViana JVeloso AZiviani N(2018)Fast and Effective Neural Networks for Translating Natural Language into DenotationsString Processing and Information Retrieval10.1007/978-3-030-00479-8_27(334-347)Online publication date: 14-Sep-2018
https://doi.org/10.1007/978-3-030-00479-8_27

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Digital Edition

View this article in digital edition.

Digital Edition

Magazine Site

View this article on the magazine site (external)

Magazine Site

Abstract

References

Cited By

Index Terms

Recommendations

Natural Language Data Management and Interfaces

Natural Language Data Management and Interfaces

Route description using natural language generation technology

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Digital Edition

Magazine Site

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations