Paper Info
Title
Extracting paraphrases of japanese action word of sentence ending part from web and mobile news articles
Abstract
In this research, we extract paraphrases from Japanese Web news articles that are long and aimed at displaying on personal computer screens and mobile news articles that are short and compact and aimed at mobile terminals' small screens. We have collected them for more than two years, and aligned them at article level and then at sentence level. As the result, we got more than 88,000 pairs of aligned sentences. Next, we extract paraphrases of the final part of sentences from this aligned corpus. The paraphrases that we try to extract are the sentence final nouns of mobile article sentences and their counterpart expressions of Web article sentences. We extract character strings and word sequences for paraphrases based on branching factor, frequency and length of string. The precision is 90% for highest ranked candidate and 83% to 59% for each top three candidates of 100 most frequently used action nouns.
Year
DOI
Venue
2004
10.1007/978-3-540-31871-2_9
AIRS
Keywords
Field
DocType
final part,sentence level,mobile article sentence,extracting paraphrase,mobile terminal,japanese web news article,japanese action word,article level,web article sentence,sentence final noun,mobile news article,action noun,noun
Web news,Ranking,Expression (mathematics),Information retrieval,Mobile news,Computer science,Noun,Personal computer,Natural language processing,Artificial intelligence,Sentence,String (computer science)
Conference
Volume
ISSN
ISBN
3411
0302-9743
3-540-25065-4
Citations 
PageRank 
References 
3
0.38
7
Authors
2
Name
Order
Citations
PageRank
Hiroshi Nakagawa110111.23
Hidetaka Masuda252.53