TAILIEUCHUNG - Báo cáo khoa học: "Question Answering with Lexical Chains Propagating Verb Arguments"

This paper describes an algorithm for propagating verb arguments along lexical chains consisting of WordNet relations. The algorithm creates verb argument structures using VerbNet syntactic patterns. In order to increase the coverage, a larger set of verb senses were automatically associated with the existing patterns from VerbNet. The algorithm is used in an in-house Question Answering system for re-ranking the set of candidate answers. Tests on factoid questions from TREC 2004 indicate that the algorithm improved the system performance by . . | Question Answering with Lexical Chains Propagating Verb Arguments Adrian Novischi Dan Moldovan Language Computer Corp. 1701 N. Collins Blvd Richardson TX 75080 adrian moldovan @ Abstract This paper describes an algorithm for propagating verb arguments along lexical chains consisting of WordNet relations. The algorithm creates verb argument structures using VerbNet syntactic patterns. In order to increase the coverage a larger set of verb senses were automatically associated with the existing patterns from VerbNet. The algorithm is used in an in-house Question Answering system for re-ranking the set of candidate answers. Tests on factoid questions from TREC 2004 indicate that the algorithm improved the system performance by . 1 Introduction In Question Answering the correct answer can be formulated with different but related words than the question. Connecting the words in the question with the words in the candidate answer is not enough to recognize the correct answer. For example the following question from TREC 2004 Voorhees 2004 Q boxer Floyd Patterson Who did he beat to win the title has the following wrong answer WA He saw Ingemar Johanson knock down Floyd Patterson seven times there in winning the heavyweight title. Although the above sentence contains the words Floyd Patterson win title and the verb beat can be connected to the verb knock down using lexical chains from WordNet this sentence does not answer the question because the verb arguments are in the wrong position. The proposed answer describes Floyd Patterson as being the object patient of the beating event while in the question he is the subject agent of the similar event. Therefore the selection of the correct answer from a list of candidate answers requires the check of additional constraints including the match of verb arguments. Previous approaches to answer ranking used syntactic partial matching syntactic and semantic relations and logic forms for selecting the correct

• Báo cáo khoa học
• Question Answering
• Lexical Chains Propagating Verb Arguments
• Adrian Novischi
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Offline Strategies
• Online Question Answering
• Answering Questions Before They Are Asked
• Question Answering as Question Biased Term Extraction
• A New Approach
• Multilingual QA
• Sentence Dependency Tagging
• Online Question Answering Forums
• Zhonghua Qu and Yang Liu
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Metadata Aware Measures
• Answer Summarization in Community
• Optimizing Question Answering Accuracy
• Maximizing Log Likelihood
• Matthias H
• Heie
• A Co occurrence based Approach
• Multi document Summarization
• A Graph based Semi Supervised Learning
• Asli Celikyilmaz Marcus Thint Zhiheng Huang
• Towards Personalized Models
• Predicting Success in Community Question Answering
• Yandong Liu and Eugene Agichtein Emory
• Learning foci
• Topic Maps
• Automatic Annotation Techniques
• Supervised Complex Question Answering
• Yllias Chali
• Utilizing Co Occurrence
• Answers in Question Answering
• Min Wu
• Answer Extraction
• Semantic Clustering
• Extractive Summarization
• Clinical Question Answering
• Methods for Using Textual Entailment
• Open Domain Question Answering
• Sanda Harabagiu and Andrew Hickl
• The QuALiM Question Answering Demo
• Supplementing Answers
• Paragraphs drawn from Wikipedia
• Language independent Probabilistic
• Answer Ranking
• Opinion and Generic Question Answering Systems
• Performance Analysis
• Alexandra Balahur
• Interactive Question Answering
• Real World Environments
• Andrew Hickl
• A Practical Korean Question
• Answering Framework
• Restricted Domain
• Experiments with Interactive Question Answering
• Sanda Harabagiu
• John Lehmann
• and Dan Moldovan
• Automatic Discovery of Intentions in Text
• Application to Question Answering
• Marta Tatu
• Learning Strategies
• Open Domain Natural Language
• Descriptive Question Answering in Encyclopedia
• Hyo Jung Oh
• Chung Hee Lee
• Splitting Complex Temporal Questions
• Question Answering systems
• E
• Saquete
• P
• Mart
• Constraint Satisfaction
• QA by Dossier with Constraints