RI: Collaborative Proposal: Complementary Lexical Resources: Towards an Alignment of WordNet and FrameNet

机器可读词汇资源是自然语言处理应用中必不可少的资源，如信息提取和机器翻译。最大的词典是WordNet，拥有超过150,000个语义信息，即词汇单位(LU)。一个较小的、独立开发的资源是FrameNet，它提供了有关逻辑单元语法模式的详细信息。该项目调查了如何使用来自FrameNet(FN)的语义-句法信息来组合这些互补的资源，并在其他情况下依靠来自WordNet(WN)的不太详细的条目。WN和FN展示了根本不同的设计原则。同义逻辑单元通过概念和词汇关系相互联系，形成一个语义网络。FN根据逻辑单元所唤起的“语义框架”对逻辑单元进行分组，语义框架是事件、关系或状态的一种类型，以及事件中涉及的参与者。因此，虽然反义词，如：赞扬和责备，可能在同一个FN框架中，但它们在不同的WN同义词集中，尽管是相互关联的。此外，FN框架涵盖了语义相关的名词、动词和形容词；WN句法不混用词性。对于自然语言处理应用来说至关重要的是，这些资源在意义差异方面是不同的。对齐将调查以下差异：词汇覆盖率、意义差异、分类和其他语义关系，以及形容词的标量框架。大约1000个词义被详细检查，以提供关于这些现象在整个词典中的分布的想法。这项理论工作为构建NLP社区独特的、无价的资源奠定了基础。

Machine-readable lexical resources are essential to Natural LanguageProcessing applications such as information extraction and machine translation. The largest lexicon is WordNet, with semantic information about more than 150,000, or lexical units (LUs). A smaller, independently developed resource is FrameNet, which provides detailed information about the syntactic patterns for LUs. The project investigates the ways in which these complementary resources can be combined using the semantic-syntactic information fromFrameNet (FN) where available and falling back on less detailedentries from WordNet (WN) in other cases. WN and FN exhibit fundamentally different design principles. WN groups (near) synonymous LUs into "synsets," which are interconnected via conceptual and lexical relations to form a semantic network. FN groups LUs according to the"semantic frame" they evoke, which is a type of event, relation orstate along with the participants involved in the event. Thus,while antonyms such as _praise_ and _blame_ may be in the same FN frame they are in different, though interlinked, WN synsets. Moreover, FN frames cover semantically related nouns, verbs and adjectives; WN synsetsdo not mix part of speech. Crucially for NLP applications, the resources differ with respect to sense distinctions.Alignment will be investigated for the following differences: lexical coverage, sense distinctions, taxonomic andother semantic relations, and scalar frames for adjectives.Some 1,000 word senses are examined in detail so as to provide an idea ofthe distribution of each of these phenomena over the entire lexicon. This theoretical work lays the foundation for constructing a unique, invaluable resource for the NLP community.