TAILIEUCHUNG - Báo cáo khoa học: "Coreference Resolution with World Knowledge"

While world knowledge has been shown to improve learning-based coreference resolvers, the improvements were typically obtained by incorporating world knowledge into a fairly weak baseline resolver. Hence, it is not clear whether these benefits can carry over to a stronger baseline. Moreover, since there has been no attempt to apply different sources of world knowledge in combination to coreference resolution, it is not clear whether they offer complementary benefits to a resolver. | Coreference Resolution with World Knowledge Altaf Rahman and Vincent Ng Human Language Technology Research Institute University of Texas at Dallas Richardson TX 75083-0688 altaf vince @ Abstract While world knowledge has been shown to improve learning-based coreference resolvers the improvements were typically obtained by incorporating world knowledge into a fairly weak baseline resolver. Hence it is not clear whether these benefits can carry over to a stronger baseline. Moreover since there has been no attempt to apply different sources of world knowledge in combination to coreference resolution it is not clear whether they offer complementary benefits to a resolver. We systematically compare commonly-used and under-investigated sources of world knowledge for coreference resolution by applying them to two learning-based coreference models and evaluating them on documents annotated with two different annotation schemes. 1 Introduction Noun phrase NP coreference resolution is the task of determining which NPs in a text or dialogue refer to the same real-world entity. The difficulty of the task stems in part from its reliance on world knowledge Charniak 1972 . To exemplify consider the following text fragment. Martha Stewart is hoping people don t run out on her. The celebrity indicted on charges stemming from . Having the world knowledge that Martha Stewart is a celebrity would be helpful for establishing the coreference relation between the two NPs. One may argue that employing heuristics such as subject preference or syntactic parallelism which prefers resolving an NP to a candidate antecedent that has the same grammatical role in this example would also allow us to correctly resolve the celebrity Mitkov 814 2002 thereby obviating the need for world knowledge. However since these heuristics are not perfect complementing them with world knowledge would be an important step towards bringing coreference systems to the next level of performance. .

• Báo cáo khoa học
• Coreference Resolution
• World Knowledge
• Altaf Rahman and Vincent Ng
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• VNU Journal of Science
• Coreference resolution in Vietnamese electronic medical records
• Vietnamese electronic medical records
• Adjective mentions possible
• Coreference resolution in Vietnamese EMRs
• Unsupervised Event Coreference Resolution
• Rich Linguistic Features
• Long Papers
• Coreference Resolution across Corpora
• Coding Schemes
• and Preprocessing Information
• Coreference Resolution with Reconcile
• Veselin Stoyanov
• Conundrums in Noun Phrase Coreference Resolution
• Making Sense
• State of the Art
• xử lý ngôn ngữ tự nhiên
• Bootstrapping Coreference Resolution
• Word Associations
• Hamidreza Kobdani
• State of the art NLP
• Approaches to Coreference Resolution
• Theory and Practical Recipes
• An Entity Mention Model
• Inductive Logic Programming
• Enforcing Transitivity
• Jenny Rose Finkel and Christopher D
• Manning
• Conditional Modality Fusion
• Jacob Eisenstein and Randall Davis
• mô hình ngôn ngữ
• Semantic Relatedness Information
• Automatically Discovered Patterns
• Semantic Class Induction
• Vincent Ng
• A Modular Toolkit
• Unsupervised Coreference Resolution
• Nonparametric Bayesian Model
• Aria Haghighi and Dan Klein
• Machine Learning for Coreference Resolution
• From Local Classification to Global Ranking
• A Mention Synchronous Coreference Resolution Algorithm
• the Bell Tree
• Xiaoqiang Luo and Abe Ittycheriah Hongyan Jing and Nanda Kambhatla and Salim Roukos
• Learning Noun Phrase Anaphoricity to Improve Coreference Resolution
• Issues in Representation and Optimization
• Competition Learning Approach
• Xiaofeng Yang
• Reference Resolution
• beyond Coreference
• Conceptual Frame and its Application
• Improving Machine Learning
• Vincent Ng and Claire Cardie
• Semantic Role Labeling
• Simone Paolo Ponzetto and Michael Strube
• scientific reports
• model language
• process natural language
• Optimization in Coreference Resolution Is Not Needed
• A Nearly Optimal Algorithm
• Intensional Constraints
• BMC Bioinformatics
• Coreference annotation
• Colorado Richly Annotated Full Text
• Syntactic annotation
• Domain specific ontologies