skip to content
A robust parsing algorithm for link grammars Preview this item
ClosePreview this item
Checking...

A robust parsing algorithm for link grammars

Author: Dennis Grinberg; John D Lafferty; Daniel D Sleator
Publisher: Pittsburgh, Pa. : School of Computer Science, Carnegie Mellon University, [1995]
Series: Research paper (Carnegie Mellon University. School of Computer Science), CMU-CS-95-125.
Edition/Format:   Book : English
Database:WorldCat
Summary:
Abstract: "In this paper we present a robust parsing algorithm based on the link grammar formalism for parsing natural languages. Our algorithm is a natural extension of the original dynamic programming recognition algorithm which recursively counts the number of linkages between two words in the input sentence. The modified algorithm uses the notion of a null link in order to allow a connection between any pair of  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Document Type: Book
All Authors / Contributors: Dennis Grinberg; John D Lafferty; Daniel D Sleator
OCLC Number: 33830907
Notes: "August 1995."
Description: 17 p. : ill. ; 28 cm.
Series Title: Research paper (Carnegie Mellon University. School of Computer Science), CMU-CS-95-125.
Responsibility: Dennis Grinberg, John Lafferty, and Daniel Sleator.

Abstract:

Abstract: "In this paper we present a robust parsing algorithm based on the link grammar formalism for parsing natural languages. Our algorithm is a natural extension of the original dynamic programming recognition algorithm which recursively counts the number of linkages between two words in the input sentence. The modified algorithm uses the notion of a null link in order to allow a connection between any pair of adjacent words, regardless of their dictionary definitions. The algorithm proceeds by making three dynamic programming passes. In the first pass, the input is parsed using the original algorithm which enforces the constraints on links to ensure grammaticality. In the second pass, the total cost of each substring of words is computed, where cost is determined by the number of null links necessary to parse the substring. The final pass counts the total number of parses with minimal cost. All of the original pruning techniques have natural counterparts in the robust algorithm. When used together with memoization [sic], these techniques enable the algorithm to run efficiently with cubic worst-case complexity. We have implemented these ideas and tested them by parsing the Switchboard corpus of conversational English. This corpus is comprised of approximately three million words of text, corresponding to more than 150 hours of transcribed speech collected from telephone conversations restricted to 70 different topics. Although only a small fraction of the sentences in this corpus are 'grammatical' by standard criteria, the robust link grammar parser is able to extract relevant structure for a large portion of the sentences. We present the results of our experiments using this system, including the analyses of selected and random sentences from the corpus. We placed a version of the robust parser on the Word [sic] Wide Web for experimentation. It can be reached at URL http://www.cs.cmu.edu/afs/cs.cmu.edu/project/link/www/robust.html. In this version there are some limitations such as the maximum length of a sentence in words and the maximum amount of memory the parser can use."

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


<http://www.worldcat.org/oclc/33830907>
library:oclcnum"33830907"
library:placeOfPublication
library:placeOfPublication
owl:sameAs<info:oclcnum/33830907>
rdf:typeschema:Book
schema:about
schema:about
schema:about
<http://id.worldcat.org/fast/1034365>
rdf:typeschema:Intangible
schema:name"Natural language processing (Computer science)"
schema:contributor
schema:contributor
schema:creator
schema:datePublished"1995"
schema:description"Abstract: "In this paper we present a robust parsing algorithm based on the link grammar formalism for parsing natural languages. Our algorithm is a natural extension of the original dynamic programming recognition algorithm which recursively counts the number of linkages between two words in the input sentence. The modified algorithm uses the notion of a null link in order to allow a connection between any pair of adjacent words, regardless of their dictionary definitions. The algorithm proceeds by making three dynamic programming passes. In the first pass, the input is parsed using the original algorithm which enforces the constraints on links to ensure grammaticality. In the second pass, the total cost of each substring of words is computed, where cost is determined by the number of null links necessary to parse the substring. The final pass counts the total number of parses with minimal cost. All of the original pruning techniques have natural counterparts in the robust algorithm. When used together with memoization [sic], these techniques enable the algorithm to run efficiently with cubic worst-case complexity. We have implemented these ideas and tested them by parsing the Switchboard corpus of conversational English. This corpus is comprised of approximately three million words of text, corresponding to more than 150 hours of transcribed speech collected from telephone conversations restricted to 70 different topics. Although only a small fraction of the sentences in this corpus are 'grammatical' by standard criteria, the robust link grammar parser is able to extract relevant structure for a large portion of the sentences. We present the results of our experiments using this system, including the analyses of selected and random sentences from the corpus. We placed a version of the robust parser on the Word [sic] Wide Web for experimentation. It can be reached at URL http://www.cs.cmu.edu/afs/cs.cmu.edu/project/link/www/robust.html. In this version there are some limitations such as the maximum length of a sentence in words and the maximum amount of memory the parser can use.""
schema:exampleOfWork<http://worldcat.org/entity/work/id/39263753>
schema:inLanguage"en"
schema:name"A robust parsing algorithm for link grammars"
schema:numberOfPages"17"
schema:publisher
schema:url

Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.