TAILIEUCHUNG - Báo cáo khoa học: "Evaluating the Accuracy of an Unlexicalized Statistical Parser on the PARC DepBank"

We evaluate the accuracy of an unlexicalized statistical parser, trained on 4K treebanked sentences from balanced data and tested on the PARC DepBank. We demonstrate that a parser which is competitive in accuracy (without sacrificing processing speed) can be quickly tuned without reliance on large in-domain manuallyconstructed treebanks. This makes it more practical to use statistical parsers in applications that need access to aspects of predicate-argument structure. | Evaluating the Accuracy of an Unlexicalized Statistical Parser on the PARC DepBank Ted Briscoe Computer Laboratory University of Cambridge John Carroll School of Informatics University of Sussex Abstract We evaluate the accuracy of an unlexi-calized statistical parser trained on 4K treebanked sentences from balanced data and tested on the PARC DepBank. We demonstrate that a parser which is competitive in accuracy without sacrificing processing speed can be quickly tuned without reliance on large in-domain manually-constructed treebanks. This makes it more practical to use statistical parsers in applications that need access to aspects of predicate-argument structure. The comparison of systems using DepBank is not straightforward so we extend and validate DepBank and highlight a number of representation and scoring issues for relational evaluation schemes. 1 Introduction Considerable progress has been made in accurate statistical parsing of realistic texts yielding rooted hierarchical and or relational representations of full sentences. However much of this progress has been made with systems based on large lexicalized probabilistic context-free like PCFG-like models trained on the Wall Street Journal WSJ subset of the Penn TreeBank PTB . Evaluation of these systems has been mostly in terms of the PARSEVAL scheme using tree similarity measures of labelled precision and recall and crossing bracket rate applied to section 23 of the WSJ PTB. See . Collins 1999 for detailed exposition of one such very fruitful line of research. We evaluate the comparative accuracy of an un-lexicalized statistical parser trained on a smaller treebank and tested on a subset of section 23 of the WSJ using a relational evaluation scheme. We demonstrate that a parser which is competitive in accuracy without sacrificing processing speed can be quickly developed without reliance on large in-domain manually-constructed treebanks. This makes it more practical to use statistical parsers in .

• Báo cáo khoa học
• Evaluating the Accuracy
• Unlexicalized Statistical Parser
• the PARC DepBank
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• An inexpensive
• high accuracy
• semi automatic metric
• evaluating translation utility
• semantic frames
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Evaluating language understanding accuracy
• respect to objective outcomes
• a dialogue system
• scientific reports
• model language
• process natural language
• BMC Cancer
• Lynch syndrome
• Microsatellite instability
• Diagnostic testing
• Test accuracy
• Systematic review
• Pose repeatability
• Industrial robot
• Articulated industrial robots
• Method for capturing accuracy
• Evaluating robot features
• BMC Bioinformatics
• Operational taxonomic unit
• Beta diversity estimation
• 16S rRNA gene
• OTU generation accuracy
• Vietnam Journal of Science and Technology
• Bài viết khoa học
• Tạp chí Khoa học Công nghệ Việt Nam
• Profile grinding
• Surface roughness
• Cutting parameters
• Protein design
• Protein structure prediction
• Evolutionary information
• Inverse Protein Folding
• BMC Genomics
• Source tracking
• Whole genome sequencing
• Public health response
• Bioinformatic source tracking
• Illness outbreaks
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
• Phân loại tin tự động
• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học