Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources
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Summary
Investigation of unsupervised techniques for acquiring monolingual sentence-level paraphrases from a corpus of temporally and topically clustered news articles collected from thousands of web-based news sources shows that edit distance data is cleaner and more easily-aligned than the heuristic data.
- Type
- article
- Published
- 2004-08-23
- Cited by
- 908
- References
- 21
- Access
- Open access
- OpenAlex
- https://openalex.org/W1980776243
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10181753
Keywords
Paraphrase, Computer science, Natural language processing, Artificial intelligence, Sentence
References
- Automatic paraphrase acquisition from news articles
- DIRT @SBT@discovery of inference rules from text
- Improved Statistical Alignment Models
- The Mathematics of Statistical Machine Translation: Parameter Estimation
- HMM-Based Word Alignment in Statistical Translation
- Empirical Methods for Exploiting Parallel Texts
- Extracting Paraphrases from a Parallel Corpus
- Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
- An Evaluation Exercise for Word Alignment
- A Systematic Comparison of Various Statistical Alignment Models
- The mathematics of statistical machine translation
- DIRT – Discovery of Inference Rules from Text
- Binary codes capable of correcting deletions, insertions, and reversals
Cited by
- Measuring Semantic Similarity in Short Texts through Greedy Pairing and Word Semantics
- Data-Driven Response Generation in Social Media
- Support Vector Machines for Paraphrase Identification and Corpus Construction
- Paraphrase Alignment for Synonym Evidence Discovery
- Validation of sub-sentential paraphrases acquired from parallel monolingual corpora
- Determining word sequence variation patterns in clinical documents using multiple sequence alignment.
- Generalizing Sub-sentential Paraphrase Acquisition across Original Signal Type of Text Pairs
- Learning the Relative Usefulness of Questions in Community QA
- Using Discourse Information for Paraphrase Extraction
- Aligning Lay and Specialized Passages in Comparable Medical Corpora
- Computational Replication of Human Paraphrase Assessment
- A Comparison of Vector-based Representations for Semantic Composition
- Learning Paraphrases from WNS Corpora
- Learning paraphrases from text
- University_Of_Sheffield: Two Approaches to Semantic Text Similarity
- Yet another Platform for Extracting Knowledge from Corpora
- TALP at TAC 2008: A Semantic Approach to Recognizing Textual Entailment
- Automatically Constructing a Corpus of Sentential Paraphrases
- Paraphrase identification using machine learning techniques
- Paraphrase Fragment Extraction from Monolingual Comparable Corpora
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