tailieunhanh - Báo cáo khoa học: " Improved Automatic Detection of Zero Subjects and Impersonal Constructions in Spanish"

In pro-drop languages, the detection of explicit subjects, zero subjects and nonreferential impersonal constructions is crucial for anaphora and co-reference resolution. While the identification of explicit and zero subjects has attracted the attention of researchers in the past, the automatic identification of impersonal constructions in Spanish has not been addressed yet and this work is the first such study. In this paper we present a corpus to underpin research on the automatic detection of these linguistic phenomena in Spanish and a novel machine learning-based methodology for their computational treatment. This study also provides an analysis of the features, discusses. | Elliphant Improved Automatic Detection of Zero Subjects and Impersonal Constructions in Spanish Luz Rello NLP and Web Research Groups Univ. Pompeu Fabra Barcelona Spain Ricardo Baeza-Yates Yahoo Research Barcelona Spain Ruslan Mitkov Research Group in Computational Linguistics Univ. of Wolverhampton UK Abstract In pro-drop languages the detection of explicit subjects zero subjects and non-referential impersonal constructions is crucial for anaphora and co-reference resolution. While the identification of explicit and zero subjects has attracted the attention of researchers in the past the automatic identification of impersonal constructions in Spanish has not been addressed yet and this work is the first such study. In this paper we present a corpus to underpin research on the automatic detection of these linguistic phenomena in Spanish and a novel machine learning-based methodology for their computational treatment. This study also provides an analysis of the features discusses performance across two different genres and offers error analysis. The evaluation results show that our system performs better in detecting explicit subjects than alternative systems. 1 Introduction Subject ellipsis is the omission of the subject in a sentence. We consider not only missing referential subject zero subject as manifestation of ellipsis but also non-referential impersonal constructions. Various natural language processing NLP tasks benefit from the identification of elliptical subjects primarily anaphora resolution Mitkov 2002 and co-reference resolution Ng and Cardie 2002 . The difficulty in detecting missing subjects and non-referential pronouns has been acknowledged since the first studies on This work was partially funded by a La Caixa grant for master students. the computational treatment of anaphora Hobbs 1977 Hirst 1981 . However this task is of crucial importance when processing pro-drop languages since subject ellipsis is a pervasive phenomenon in these languages .

• Báo cáo khoa học
• Improved Automatic
• Detection of Zero Subjects
• Impersonal Constructions in Spanish
• scientific reports
• model language
• process natural language
• ConsentCanvas Automatic Texturing
• Improved Readability
• EndUser License Agreements
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• An Improved Extraction
• Pattern Representation Model
• Automatic IE Pattern Acquisition
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Silk industry
• Improved reeling machines
• Multiend and automatic basin
• Non traditional area
• Economics analysis of multiend
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln