ACL
2012
12 years 4 months ago
2012
SMT has been used in paraphrase generation by translating a source sentence into another (pivot) language and then back into the source. The resulting sentences can be used as can...
FLAIRS
2009
14 years 2 days ago
2009
1 This study evaluates the robustness of established computational indices used to assess text relatedness in userlanguage. The original User-Language Paraphrase Corpus (ULPC) was ...
FLAIRS
2009
14 years 2 days ago
2009
1 Two sentences are paraphrases if their meanings are equivalent but their words and syntax are different. Paraphrasing can be used to aid comprehension, stimulate prior knowledge,...
ACL
2009
14 years 4 days ago
2009
Paraphrase generation (PG) is important in plenty of NLP applications. However, the research of PG is far from enough. In this paper, we propose a novel method for statistical par...
ACL
2009
14 years 4 days ago
2009
This paper addresses the task of handling unknown terms in SMT. We propose using source-language monolingual models and resources to paraphrase the source text prior to translatio...
NAACL
2010
14 years 5 days ago
2010
We present a random-walk-based approach to learning paraphrases from bilingual parallel corpora. The corpora are represented as a graph in which a node corresponds to a phrase, an...
NAACL
2010
14 years 5 days ago
2010
This paper describes a method for checking the acceptability of paraphrases in context. We use the Google n-gram data and a CCG parser to certify the paraphrasing grammaticality a...
COLING
2008
14 years 26 days ago
2008
The most critical issue in generating and recognizing paraphrases is development of wide-coverage paraphrase knowledge. Previous work on paraphrase acquisition has collected lexic...
COLING
2002
14 years 2 months ago
2002
We describe a mechanism for the generation of lexical paraphrases of queries posed to an Internet resource. These paraphrases are generated using WordNet and part-of-speech inform...
JSW
2007
14 years 2 months ago
2007
Abstract— Monolingual text-to-text generation is an emerging research area in Natural Language Processing. One reason for the interest in such generation systems is the possibili...