CISE Research Resources: Discourse Penn Treebank and Multimodal FORM: Development of Two Richly Annotated Corpora

CISE 研究资源：Discourse Penn Treebank 和 Multimodal FORM：两个注释丰富的语料库的开发

• 批准号: 0224417
• 负责人: Aravind Joshi
• 金额: $ 99.78万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-15 至 2006-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0224417&HistoricalAwards=false
• 关键词: CISE; Research; Resources; Discourse; Penn

EIA-0224417Aravind K. JoshiMark LibermanUniversity of PennsylvaniaCISE RR: Discourse Penn Trebank and Multimodal FORM: Development of Two Richly Annotated CorporaThis project, providing critical resources for research discourse modeling and conversational interaction, aims at developing new technologies and systems for information retrieval and human computer interaction. Centering on the construction of annotated corpora, two large-scale resources, one in the discourse domain and one in the dialog domain will be built:1. Discourse Penn Treebank (DPTB) and2. MultiFORM: Augmenting the FORM corpus with body movements, speech, and intonation.The former project develops a large scale and reliably annotated corpus that will encode coherence relations associated with discourse connectives, including their argument structure and anaphoric links, thus exposing a clearly defined level of discourse structure and supporting the extraction of a range of inferences associated with discourse connectives. This annotation will be "on top of" the Penn Treebank (PTB) annotations as well as the predicate-argument annotations of PTB (called the Proposition Bank or Prop Bank). The latter involves a corpus of gesture-annotated videos, FORM that was designed to be extensible in order to eventually represent the entire multimodal experience of conversational interaction. This multimodal FORM , MultiFORM, will be created by adding body movement, speech and syntactic structure, and intonation. Large-scale annotated corpora have played a critical role in speech and natural language research by enabling large-scale integration of statistical knowledge (derived from the corpora) with linguistic knowledge (as represented in annotations) leading to scientific and technological advances. Representative examples constitute robust parsing and automatic extraction of relations and coreferences and their applications to information extraction, question answering, summarization, and machine translation. PTB, a resource developed a decade ago, represents an example of such a resource that impacts natural language processing worldwide. PTB deals with corpora at the sentence level warranting a new large scale and reliable discourse and dialog structure annotated corpora. Although intellectual and practical connections exist between studies of the structures of discourse and dialog, the initial requirements for resources to study these areas diverge while overlapping in conception. On the discourse side, we need for corpora that deals with the kinds of structures found in composed text such as journalistic articles. The dialog side needs to focus on interactions among people and on extemporized rather than pre-composed material.

EIA-0224417阿拉文德·K·乔希马克·利伯曼宾夕法尼亚大学CIE RR：话语宾夕法尼亚大学Trebank and Multimodal Form：开发两个注释丰富的语料库这个项目为研究话语建模和对话交互提供关键资源，旨在开发用于信息检索和人机交互的新技术和系统。围绕着标注语料库的建设，将建立两个大规模的资源，一个在语篇领域，一个在对话领域：1.语篇宾夕法尼亚树库(DPTB)和2.语篇佩恩树库(DPTB)。多形式：用身体动作、语音和语调来扩充形式语料库。前一个项目开发了一个大规模的、带可靠注释的语料库，它将编码与语篇连接词相关的连贯关系，包括它们的论元结构和回指链接，从而揭示出明确定义的语篇结构水平，并支持提取与语篇连接词相关的一系列推理。该批注将位于宾夕法尼亚树库(PTB)批注以及PTB的谓词参数批注(称为命题库或命题库)之上。后者涉及一个手势注释的视频语料库，这种形式被设计为可扩展的，以便最终代表整个对话交互的多模式体验。这种多模式的形式，多形式，将通过添加身体运动，语音和句法结构，以及语调来创建。大规模标注语料库在言语和自然语言研究中发挥了关键作用，使统计知识(源自语料库)与语言学知识(如标注所示)大规模结合起来，从而推动了科学和技术进步。典型的例子构成了关系和共指关系的健壮的分析和自动提取，以及它们在信息提取、问题回答、摘要和机器翻译中的应用。PTB是十年前开发的一种资源，它是影响全球自然语言处理的这种资源的一个例子。PTB在句子层面处理语料库，需要一个新的大规模、可靠的语篇和对话结构标注语料库。尽管对话语结构和对话结构的研究存在智力和实践上的联系，但在概念重叠的情况下，研究这些领域的资源的最初要求是不同的。在语篇方面，我们需要语料库来处理在新闻文章等合成文本中发现的各种结构。对话方面需要关注人与人之间的互动，以及即兴创作的材料，而不是预先编写的材料。