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- research-articleJanuary 2022
Sentence transition matrix: An efficient approach that preserves sentence semantics
Computer Speech and Language (CSPL), Volume 71, Issue CJan 2022https://doi.org/10.1016/j.csl.2021.101266AbstractSentence embedding is an influential research topic in natural language processing (NLP). Generation of sentence vectors that reflect the intrinsic meaning of sentences is crucial for improving performance in various NLP tasks. ...
- research-articleNovember 2021
MUMC: Minimizing uncertainty of mixture of cues
Image and Vision Computing (IAVC), Volume 115, Issue CNov 2021https://doi.org/10.1016/j.imavis.2021.104280Highlights- Propose a method for obtaining posterior distributions by considering the advice of experts.
Generating natural questions from an image is a semantic task that requires using vision and language modalities to learn multimodal representations. Images can have multiple visual and language cues such as places, captions, and tags. ...
- ArticleJune 2021
Paraphrasing Academic Text: A Study of Back-Translating Anatomy and Physiology with Transformers
Artificial Intelligence in EducationJun 2021, Pages 279–284https://doi.org/10.1007/978-3-030-78270-2_50AbstractThis paper explores a general approach to paraphrase generation using a pre-trained seq2seq model fine-tuned using a back-translated anatomy and physiology textbook. Human ratings indicate that the paraphrase model generally preserved meaning and ...
- research-articleApril 2021
Information retrieval on oncology knowledge base using recursive paraphrase lattice
Journal of Biomedical Informatics (JOBI), Volume 116, Issue CApr 2021https://doi.org/10.1016/j.jbi.2021.103705Graphical abstractDisplay Omitted
Highlights- Multiple paraphrases make it difficult for oncologists to search knowledge bases.
For annotation in cancer genomic medicine, oncologists have to refer to various knowledge bases worldwide and retrieve all information (e.g., drugs, clinical trials, and academic papers) related to a gene variant. However, oncologists ...
- ArticleOctober 2020
A Submodular Optimization-Based VAE-Transformer Framework for Paraphrase Generation
Natural Language Processing and Chinese ComputingOct 2020, Pages 494–505https://doi.org/10.1007/978-3-030-60450-9_39AbstractParaphrase plays an important role in various Natural Language Processing (NLP) problems, such as question answering, information retrieval, conversation systems, etc. Previous approaches mainly concentrate on producing paraphrases with similar ...
- ArticleOctober 2019
PKU Paraphrase Bank: A Sentence-Level Paraphrase Corpus for Chinese
Natural Language Processing and Chinese ComputingOct 2019, Pages 814–826https://doi.org/10.1007/978-3-030-32233-5_63AbstractOne of the main challenges of conducting research on paraphrase is the lack of large-scale, high-quality corpus, which is particularly serious for non-English investigations. In this paper, we present a simple and effective unsupervised learning ...
- ArticleSeptember 2019
Similar Meaning Analysis for Original Documents Identification in Arabic Language
Computational Collective IntelligenceSep 2019, Pages 193–206https://doi.org/10.1007/978-3-030-28377-3_16AbstractThe progressive advancement in technology has become easy to present the language expression of someone else as one’s own with similar words semantically. This phenomenon increased the potential source of plagiarism. Its detection is a challenge ...
- research-articleJanuary 2018
Expanding Paraphrase Lexicons by Exploiting Generalities
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 17, Issue 2Article No.: 13, Pages 1–36https://doi.org/10.1145/3160488Techniques for generating and recognizing paraphrases, i.e., semantically equivalent expressions, play an important role in a wide range of natural language processing tasks. In the last decade, the task of automatic acquisition of subsentential ...
- articleNovember 2014
Paraphrastic language models
Computer Speech and Language (CSPL), Volume 28, Issue 6November, 2014, Pages 1298–1316https://doi.org/10.1016/j.csl.2014.04.004Natural languages are known for their expressive richness. Many sentences can be used to represent the same underlying meaning. Only modelling the observed surface word sequence can result in poor context coverage and generalization, for example, when ...
- articleJune 2014
Construction of an aligned monolingual treebank for studying semantic similarity
Language Resources and Evaluation (SPLRE), Volume 48, Issue 2June 2014, Pages 279–306https://doi.org/10.1007/s10579-013-9252-1Modern paraphrase research would benefit from large corpora with detailed annotations. However, currently these corpora are still thin on the ground. In this paper, we describe the development of such a corpus for Dutch, which takes the form of a ...
- ArticleMarch 2014
An Eccentric Approach for Paraphrase Detection Using Semantic Matching and Support Vector Machine
ICICA '14: Proceedings of the 2014 International Conference on Intelligent Computing ApplicationsMarch 2014, Pages 431–434https://doi.org/10.1109/ICICA.2014.94Paraphrase is the process of writing a sentence in another form. It relates to computing the similarity between sentences which are not lexicographically similar. This paper proposed an efficient method to estimate paraphrase. Specifically this paper ...
- articleSeptember 2009
Measuring machine translation quality as semantic equivalence: A metric based on entailment features
Machine Translation (KLU-COAT), Volume 23, Issue 2-3September 2009, Pages 181–193https://doi.org/10.1007/s10590-009-9060-yCurrent evaluation metrics for machine translation have increasing difficulty in distinguishing good from merely fair translations. We believe the main problem to be their inability to properly capture meaning: A good translation candidate means the ...