[PDF] Top 20 Learning Semantic Constraints for the Automatic Discovery of Part Whole Relations
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Learning Semantic Constraints for the Automatic Discovery of Part Whole Relations
... a part of the ambiguous examples, there is no guarantee it will work for all the ambiguous examples of this ...the semantic classes into two new ones: whole - causal agent, and respectively ... See full document
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Automatic Discovery of Semantic Relations using MindNet
... for relations already present in Encarta, as shown with the “border” ...identify semantic relations between ...MindNet relations such as focusing on specific lexical relations in ... See full document
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Automatic Discovery of Manner Relations and its Applications
... To the best of our knowledge, there have not been much efforts to detect MANNER alone. Girju et al. (2003), present a supervised approach for ADVP similar to the one reported in this paper, yielding a F-measure of .665. ... See full document
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Automatic Discovery of Part Whole Relations
... knowledge discovery from text is the automatic extraction of semantic ...the automatic detection of part–whole relations in ...encode part–whole ...other ... See full document
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Mining Inter Entity Semantic Relations Using Improved Transductive Learning
... On the other hand, within the information retrieval and natural language processing community, Information Extraction (IE) systems are understood as techniques for automatically extracting information from text, ... See full document
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Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
... We propose a minimally supervised algorithm that uses only one seed example and a recursive lexico- syntactic pattern to learn in bootstrapping fash- ion the selectional restrictions of a large class of semantic ... See full document
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Learning Cross lingual Word Embeddings via Matrix Co factorization
... duced constraints to assure cross-lingual seman- tic ...structing learning objectives from separate mono- lingual and cross-lingual ...cross-lingual constraints can be de- rived both with or without ... See full document
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Semi automatic Generation of Multiple Choice Tests from Mentions of Semantic Relations
... language learning (CALL) opens many new opportunities for language learn- ers and ...the automatic scoring of such tests (see Section ...of learning mate- rial for reading-comprehension tests, guided ... See full document
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Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints
... one semantic category or to explicitly model the semantic relationships between different ...new learning objective function to enhance word embeddings by combining neural models and a prior ... See full document
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Automatic Service Discovery using Ontology Learning Semantic Focused Crawler for Mining
... The Semantic Web provides domain-knowledge-based classification tools ...specifying relations between concepts, which is working for the classification of concepts and ... See full document
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Automatic extraction of semantic relations between medical entities: a rule based approach
... Conclusions: According to our experiments, using an external sentence segmenter and noun phrase chunker may improve the precision of MetaMap-based medical entity recognition. Our pattern-based relation extraction method ... See full document
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Automatic Detection of At-Most-One and Exactly-One Relations for Improved SAT Encodings of Pseudo-Boolean Constraints
... PB constraints to SAT is to use Binary Decision Diagrams (BDDs) ...PB constraints where all coefficients, literals and K are positive and the relational operator is ...AMO constraints over subsets of ... See full document
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MoL 2010 12: Relevance Based Partition Semantics for Why Questions
... are presumed to be as legitimate as scientific contexts when it comes to the conversational coherence of asking and answering why-questions. For example, the question ‘Why did the Scorpio man part from the Taurus ... See full document
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A Surya on Web Service Data Classification Discovery using Semantic Similarity
... Abstract: - The advancement of internet technology and the vast growth of information and web services over web demands forefficient classification approaches for information and service discovery. Web services ... See full document
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Market vs. contract? The implications of contractual theories of corporate governance to the analysis of neoliberalism
... were part of a highly competitive, mainly familial business tradition; for example, they formed what Arrighi and Silver (1999: 127) call ‘an ensemble of highly specialized medium-sized firms held together by a ... See full document
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Automatic index creation to support navigation in lexical graphs encoding part of relations
... To support word finding, i.e. navigation/word access in electronic dictionaries, Zock and colleagues proposed to add to an existing electronic resource a corpus-derived index based on the notion of association (Zock et ... See full document
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Semantic Annotation of Documents: A Comparative Study
... In the medical field, [18] proposes a method of know- ledge creation, that is based on the cooperative annotation of surgical videos by practitioners and domain experts, by building and sharing objects, results and ... See full document
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Learner’s Performance Evaluation based on Knowledge Extracting and Ontology
... The Ontology is an explicit specification of conceptualization to describe and represent an area of knowledge. The concepts, their relationships and properties of concepts are expressed in ontology in hierarchical ... See full document
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Syntactic and Semantic Problems in Automatic Sentence Generation
... SYNTACTIC AND SEMANTIC PROBLEMS IN AUTOMATIC SENTENCE GENERATION SYNTACTIC AND SEMANTIC PROBLEMS IN AUTOMATIC SENTENCE GENERATION, ~ ~ O ~ # / Kenneth E Harper ~/v{~/ ~ ~ A program for automatic sente[.] ... See full document
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Granularity in Natural Language Discourse
... Granularity is the concept of breaking down an event into smaller parts or granules such that each indi- vidual granule plays a part in the higher level event. For example, the activity of driving to the grocery ... See full document
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