TAILIEUCHUNG - Báo cáo khoa học: "AUTOMATIC ACQUISITION OF A LARGE SUBCATEGORIZATION DICTIONARY FROM CORPORA"

This paper presents a new method for producing a dictionary of subcategorization frames from unlabelled text corpora. It is shown that statistical filtering of the results of a finite state parser running on the output of a stochastic tagger produces high quality results, despite the error rates of the tagger and the parser. Further, it is argued that this method can be used to learn all subcategorization frames, whereas previous methods are not extensible to a general solution to the problem. | AUTOMATIC ACQUISITION OF A LARGE SUBCATEGORIZATION DICTIONARY FROM CORPORA Christopher D. Manning Xerox PARC and Stanford University Stanford University Dept of Linguistics Bldg. 100 Stanford CA 94305-2150 USA Internet m a n n i ng@ csli .sta nford .ed u Abstract This paper presents a new method for producing a dictionary of subcategorization frames from unlabelled text corpora. It is shown that statistical filtering of the results of a finite state parser running on the output of a stochastic tagger produces high quality results despite the error rates of the tagger and the parser. Further it is argued that this method can be used to learn all subcategorization frames whereas previous methods are not extensible to a general solution to the problem. INTRODUCTION Rule-based parsers use subcategorization information to constrain the number of analyses that are generated. For example from subcategorization alone we can deduce that the pp in 1 must be an argument of the verb not a noun phrase modifier 1 John put ÍNpthe cactus ppon the table . Knowledge of subcategorization also aids text generation programs and people learning a foreign language. A subcategorization frame is a statement of what types of syntactic arguments a verb or adjective takes such as objects infinitives that-clauses participial clauses and sub categorized prepositional phrases. In general verbs and adjectives each appear in only a small subset of all possible argument subcategorization frames. A major bottleneck in the production of high-coverage parsers is assembling lexical information Thanks to Julian Kupiec for providing the tagger on which this work depends and for helpful discussions and comments along the way. I am also indebted for comments on an earlier draft to Marti Hearst whose comments were the most useful Hin-rich Schiitze Penni Sibun Mary Dalrymple and others at Xerox PARC where this research was completed during a summer internship Stanley Peters and the two anonymous ACL .

• Báo cáo khoa học
• AUTOMATIC ACQUISITION
• A LARGE SUBCATEGORIZATION DICTIONARY FROM CORPORA
• Christopher D
• Manning
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Automatic Selectional Preference Acquisition
• Latin verbs
• Barbara McGillivray
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Ranked Qualia Structures from the Web
• Philipp Cimiano Johanna Wenderoth
• Adjectival Subcategorization from Corpora
• Jeremy Yallop
• English Topic Signatures
• a Second Language
• An Improved Extraction
• Pattern Representation Model
• Automatic IE Pattern Acquisition
• Automatic Acquisition of Named
• Entity Tagged Corpus
• World Wide Web
• Language Model
• Head Dependent Relation between Words
• SUBCATEGORIZATION FRAMES
• UNTAGGED TEXT
• THE LEXICAL SEMANTICS OF VERBS
• SENTENCE FRAMES
• scientific reports
• model language
• process natural language
• Knowledge Acquisition from Texts
• Using an Automatic Clustering Method
• Noun Modifier Relationship
• Script Knowledge
• Text Collection
• NATURALLANGUAGEPROCESSINGAND THE AUTOMATIC
• ACQUISITION OF KOLDENWEG
• Long Papers