Generation Challenges 2009

2009 年世代挑战

• 批准号: EP/G03995X/1
• 负责人: Anya Belz
• 金额: $ 4.6万
• 依托单位: University of Brighton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FG03995X%2F1
• 关键词: Generation; Challenges; 2009

Natural Language Generation (NLG) is the subfield of Natural Language Processing (NLP) that is concerned with developing computational methods for automatically producing language. Possible applications of NLG technology include economising text-production processes and improving access to non-verbal information, as well as machine translation, text summarisation and human-computer dialogue. NLG is a field with vast but so far largely unrealised potential. In other NLP fields, shared data, shared core technology and organised shared-task competitions have been seen to galvanise research communities, and lead to rapid technological progress. Among NLG researchers, growing interest in comparative forms of evaluation led to a discussion which has now resulted in the first two shared-task evaluation competitions in NLG: in 2007, we organised a pilot NLG shared-task evaluation event, the Attribute Selection for Generating Referring Expressions (ASGRE'07) Challenge; this year we organised the Referring Expression Generation Challenge (REG'08) which saw participation double and was co-located with the leading international conference in NLG (INLG'08 in Columbus, Ohio). ASGRE'07 and REG'08 have met met with enthusiasm among NLG researchers, have resulted in the creation of new technology and data resources, and have drawn new researchers into the field. In order to continue and increase these beneficial effects, we are now planning a third NLG evaluation event, Generation Challenges, for 2009, in conjunction with the leading European NLG conference (ENLG'09). Generation Challenges 2009 will have more shared tasks and a larger variety of evaluation methodologies than the two previous events. It also includes a call for evaluation methods and, for the first time, a general call for task proposals, enabling the NLG research community to directly shape future shared-task events.Unlike leading evaluation initiatives in Machine Translation and Document Summarisation, which are funded and directed by US government agencies, ASGRE'07, REG'08, and now Generation Challenges 2009 arecommunity-based, UK-led evaluation initiatives. This proposal requests funding for umbrella organisation and administration activities, as well as data preparation and evaluation experiments for two of the shared tasks in Generation Challenges 2009, to enable us to carry out the full range of planned activities, and to keep this initiative community-based and UK-led.

自然语言生成（NLG）是自然语言处理（NLP）的一个子领域，它关注于开发自动生成语言的计算方法。NLG技术的可能应用包括节省文本制作过程和改善非语言信息的获取，以及机器翻译，文本摘要和人机对话。NLG是一个具有巨大潜力但迄今为止尚未实现的领域。在其他自然语言处理领域，共享数据、共享核心技术和有组织的共享任务竞赛被视为激励研究社区，并导致快速的技术进步。在NLG研究人员中，对比较评估形式的兴趣日益浓厚，引发了一场讨论，现在已经导致了NLG中的前两个共享任务评估竞赛：2007年，我们组织了一个试点NLG共享任务评估活动，生成引用表达式的属性选择（ASGRE'07）挑战;今年，我们组织了指称表达生成挑战赛（REG'08），参与人数增加了一倍，并与NLG的主要国际会议在同一地点举行（INLG'08在俄亥俄州的哥伦布）。ASGRE'07和REG'08引起了NLG研究人员的热情，创造了新技术和数据资源，并吸引了新的研究人员进入该领域。为了继续和加强这些有益的影响，我们现在计划在2009年与领先的欧洲NLG会议（ENLG'09）一起举办第三次NLG评估活动“Generation Challenges”。与前两次活动相比，2009年的世代挑战将有更多的共同任务和更广泛的评估方法。它还包括对评估方法的呼吁，以及首次对任务提案的普遍呼吁，使NLG研究社区能够直接塑造未来的共享任务活动。与由美国政府机构资助和指导的机器翻译和文档摘要的领先评估计划不同，ASGRE'07，REG'08和现在的Generation Challenges 2009是基于社区的，联合王国领导的评价举措。该提案要求为伞式组织和管理活动提供资金，并为2009年世代挑战中的两项共同任务提供数据准备和评估实验，使我们能够开展计划的全部活动，并保持这一倡议以社区为基础，由联合王国领导。

项目成果

The GREC Main Subject Reference Generation Challenge 2009: Overview and Evaluation Results

2009 年 GREC 主题参考生成挑战赛：概述和评估结果

• 发表时间: 2009
• 作者: AS Belz

The TUNA-REG Challenge 2009: Overview and Evaluation Results

2009 年 TUNA-REG 挑战赛：概述和评估结果

• 发表时间: 2009
• 作者: A Gatt

Empirical Methods in Natural Language Generation

自然语言生成中的经验方法

• DOI: 10.1007/978-3-642-15573-4_4
• 发表时间: 2010
• 作者: Janarthanam S

The GREC Named Entity Generation Challenge 2009: Overview and Evaluation Results

2009 年 GREC 命名实体生成挑战赛：概述和评估结果

• 发表时间: 2009
• 作者: AS Belz