Proceedings of the 5th Linguistic Annotation Workshop

LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop(2011)

引用 24|浏览24
暂无评分
摘要
The Linguistic Annotation Workshop (The LAW) provides a forum to facilitate the exchange and propagation of research results concerned with the annotation, manipulation, and exploitation of corpora; work towards the harmonization and interoperability from the perspective of the increasingly large number of tools and frameworks for annotated language resources; and work towards a consensus on all issues crucial to the advancement of the field of corpus annotation. Although this year's LAW is officially the fifth edition, LAW itself is the convergence of several previous workshops-including NLPXML, FLAC, LINC, and Frontiers in Corpus Annotation-dating back to the first NLPXML in 2001. This series of workshops attests to the rapid developments in the creation and use of annotated data in both language technology and empirical approaches to linguistic studies over the past 10 years. We received a sizeable number of papers this year. A total of 37 submissions were received. After careful review, the program committee accepted 10 papers and 11 posters. One of the papers selected for oral presentation was withdrawn later, leaving the total of full papers to 9. Selection of the papers was not an easy task, as the papers cover the full range of linguistic facts and their corresponding annotation frameworks, from predicate-argument to discourse structure, speech to social networks, and learner corpus to CVs. The papers also deal with a range of annotation levels, from the macro perspective on infrastructure for international collaboration and interoperability, to the micro perspective on tools to deal with inter-annotator inconsistencies. It is this richness of the topics that attest to the growing maturity of field. This year we tried a slightly different approach where we allowed the posters to be full length papers and have a ten minute talk associated with each.
更多
查看译文
关键词
macro perspective,micro perspective,annotation level,full length paper,corresponding annotation framework,annotated language resource,annotated data,full range,linguistic annotation workshop,corpus annotation,full paper
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要