Application-based Text-to-Text Generation

基于应用程序的文本到文本生成

• 批准号: GR/T04557/01
• 负责人: Mirella Lapata
• 金额: $ 21.45万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=GR%2FT04557%2F01
• 关键词: Application; based; Text; Generation

An emerging area of research in the field of Natural Language Processing (NLP) is text-to-text generation. Text-to-text generation takes naturally occurring texts as input and transforms them into new texts satisfying constraints such as length or style. Examples of applications that require text-totext generation are single- and multidocument summarization, text simplification, sentence compression, and question answering. At the heart of methods developed for text-to-text generation lies the ability to identify and generate paraphrases, i.e., alternative ways to convey the same information either at the sentence or at the document level.The aim of this grant is to create algorithms and software for the collection of corpora appropriate for studying meaning equivalences and to develop and evaluate a summarisation system that incorporates models for identifying and generating paraphrases at the sentence and document level. The application is particularly suited for studying text-rewriting as it involves the extraction, potentially regeneration and ordering of information across multiple information sources.

自然语言处理（NLP）领域的一个新兴研究领域是文本到文本生成。文本到文本生成将自然出现的文本作为输入，并将其转换为满足长度或样式等约束的新文本。需要文本到文本生成的应用程序的示例包括单文档和多文档摘要、文本简化、句子压缩和问答。为文本到文本生成而开发的方法的核心在于识别和生成释义的能力，即，这项资助的目的是建立算法和软件，用于收集适合研究意义对等的语料库，并开发和评估一个摘要系统，该系统包括用于在句子和文档层面识别和生成释义的模型。该应用程序特别适合于研究文本重写，因为它涉及跨多个信息源的信息的提取，潜在的再生和排序。

项目成果

Sentence Compression as Tree Transduction

句子压缩作为树转导

• DOI: 10.1613/jair.2655
• 发表时间: 2009
• 期刊: Journal of Artificial Intelligence Research
• 影响因子: 5
• 作者: Lapata M

Constructing Corpora for the Development and Evaluation of Paraphrase Systems

• DOI: 10.1162/coli.08-003-r1-07-044
• 发表时间: 2008-12-01
• 期刊: COMPUTATIONAL LINGUISTICS
• 影响因子: 9.3
• 作者: Cohn, Trevor;Callison-Burch, Chris;Lapata, Mirella
• 通讯作者: Lapata, Mirella