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inference rules

Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions

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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Inference Rules and their Application to Recognizing Textual Entailment

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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Using Lexical Expansion to Learn Inference Rules from Sparse Data

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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A Two Level Model for Context Sensitive 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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Reading The Web with Learned Syntactic Semantic Inference Rules

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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LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules

LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules

... Semantic inferences are fundamental to under- standing natural language and are an integral part of many natural language applications such as question answering, summarization and textual entailment. Given the ...

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Automatic Generation of Challenging Distractors Using Context Sensitive Inference Rules

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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Inference Rules, Emergent Wholes and Supervenient

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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Inference Rules of User Uploaded Images on Social Network Sites

Inference Rules of User Uploaded Images on Social Network Sites

... To get social occasions of pictures that may be associated with near insurance slants, we propose a different leveled picture portrayal which bunches pictures at fi[r] ...

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Learning Verb Inference Rules from Linguistically Motivated Evidence

Learning Verb Inference Rules from Linguistically Motivated Evidence

... entailment rules be- tween verbs and verb-like structures has employed the distributional hypothesis, which assumes that words with similar meanings appear in similar con- ...

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Inference Rules of User Uploaded Images on Social Network Sites

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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Using Plausible Inference Rules in Description Planning

Using Plausible Inference Rules in Description Planning

... This approach uses a set of rules which may be used to propose a possible move/statement given the target/communicative goal, a set of rules which m a y be used to guess what would be in[r] ...

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Clausal Resolution for Modal Logics of Confluence

Clausal Resolution for Modal Logics of Confluence

... There are quite a few dedicated methods for the logics presented in this paper. In general, however, those methods do not provide a systematic way of dealing with log- ics based on similar axioms or their extensions. ...

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Fragments of a Theory of Human Plausible Reasoning

Fragments of a Theory of Human Plausible Reasoning

... EXAMPLES OF INFERENCE RULES AND PROTOCOLS.. Administrator Note Not Clear in the film.[r] ...

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Entity/Event Level Sentiment Detection and Inference

Entity/Event Level Sentiment Detection and Inference

... via inference, we have defined a generalized set of inference rules and proposed a graph-based model to achieve sentiment propagation between the sentiments toward the agents and themes of +/-effect ...

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HarmanChangeInView1-3

HarmanChangeInView1-3

... This difference in category between rules of implication and, 45 we might say, rules of inference (rules' of revision) lies behind other dif- Clearly, argument or proof is not at all the[r] ...

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The structure of logical consequence : proof theoretic conceptions

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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A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules

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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Online Full Text

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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Scalable Variational Inference for Extracting Hierarchical Phrase based Translation Rules

Scalable Variational Inference for Extracting Hierarchical Phrase based Translation Rules

... Hiero-style rules and hence can potentially capture larger reorder- ing (than the unary ...the inference under a simple MapReduce style framework, which allows us to scale to large ...

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