if-then inference rules
A Two Level Model for Context Sensitive Inference Rules
... corpus. Inference rules between pairs of predicates are then identified by measuring the similarity between their corresponding argument ...of inference rules were re- leased, containing the ...
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LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules
... ference rules for the different systems when vary- ing the value of ...the inference rules in the test set only as cor- rect and incorrect without further classification based on ...every ...
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Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions
... of inference rules: noun-noun causality (Girju, 2003; Chang and Choi, 2006; Saeger et ...and inference rules of other types ...causal rules extracted by the previous work were limited ...
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Using Lexical Expansion to Learn Inference Rules from Sparse Data
... of inference rules for predicates is widely addressed by com- puting distributional similarity scores be- tween vectors of argument ...learning rules for low frequency predicates associated with very ...
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Automatic Generation of Challenging Distractors Using Context Sensitive Inference Rules
... to generating on average 3.3 distractors per item. All our generated distractors were checked by two native English speakers. We count a distrac- tor as “invalid” if it was ruled out by at least one annotator. Table 1 ...
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Reading The Web with Learned Syntactic Semantic Inference Rules
... We study how to extend a large knowledge base (Freebase) by reading relational informa- tion from a large Web text corpus. Previous studies on extracting relational knowledge from text show the potential of syntactic ...
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Inference Rules and their Application to Recognizing Textual Entailment
... Dependency representations like the tree skele- ton have been explored by many researchers, e.g. (Zanzotto and Moschitti, 2006) have utilized a tree kernel method to calculate the similarity between T and H, and (Wang ...
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Inference Rules, Emergent Wholes and Supervenient
... formal inference rules stating: if there is a case of CC, then conclude there is a case of E, ...such rules rely on empirically established correlations, law-like regularities, or natural ...
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Learning Verb Inference Rules from Linguistically Motivated Evidence
... tailment rules between verbs (verb entailment), ...such rules has led to active re- search in automatic learning of entailment rules be- tween verbs or verb-like structures (Zanzotto et ...entailment ...
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Inference Rules of User Uploaded Images on Social Network Sites
... An A3P system that helps users automates the privacy policy settings for their uploaded images. The A3P system provides a comprehensive framework to infer privacy preferences based on the information available for a ...
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A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules
... such inference rules, their use is typically limited, application-specific, and quite ...semantic inference research, analogously to the role of well-formalized mod- els in parsing and machine ...
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Clausal Resolution for Modal Logics of Confluence
... The inference rules given in Table 2 provide a systematic way of designing the inference rules for each specific modal logic of ...both inference rules in order to achieve a ...
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Entity/Event Level Sentiment Detection and Inference
... via inference rules over explicit senti- ...ference rules as constraints in joint prediction models, to develop an entity/event-level sen- timent analysis system which aims at detect- ing both ...
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The structure of logical consequence : proof theoretic conceptions
... Nonetheless, one might think that even if Wagner’s approach is consistent with INF, it fails on independent grounds. First, to the extent that the theory involves a sense vs denotation distinction, it introduces some ...
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Scalable Variational Inference for Extracting Hierarchical Phrase based Translation Rules
... Michel Galley, Jonathan Graehl, Kevin Knight, Daniel Marcu, Steve DeNeefe, Wei Wang, and Ignacio Thayer. 2006. Scalable inference and training of context-rich syntactic translation models. In Proceedings of the ...
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Fuzzy Ontology with ANFIS Neural Network for Semantic Sensor Networks in Smart Homes based on Internet of Things
... Abstract— In this paper, a fuzzy ontology for Semantic Sensor Networks (SSN) is proposed for smart homes in two phases. In the first phase, using the WordNet ontology, the location and type of an object is identified ...
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Online Full Text
... classification rules. These rules are then evaluated and filtered on the basis of coverage ...coverage rules are transformed into decision rules to be used by the inference engine of ...
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An Optimal Fuzzy Logic Guidance Law using Particle Swarm Optimization
... the Inference engine, the Fuzzy Knowledge base, and the ...fuzzy rules the Inference engine converts the fuzzy input to a fuzzy ...the inference engine to crisp one using MFs analogous to the ...
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An Ontology Based Requirement Rule Consistency Checking Framework
... As the popularity of the Semantic Web has rapidly increased, several ontology tools has been developed at the same time. Prot´eg´e [26] is a famous ontology tool with an OWL plug-in that allows the user to define her own ...
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Expert System and Research Aspects in Artificial Intelligence
... Abstract: This paper deals with the study of expert system architecture and its applications in various fields. The expert systems are the computer applications developed to solve complex problems in a particular domain, ...
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