[PDF] Top 20 Semantic Framework for Comparison Structures in Natural Language
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Semantic Framework for Comparison Structures in Natural Language
... Predicates: Table 1 lists all the predicate oper- ators under our framework. As the table shows, there are four main types of predicates: compara- tives, extremes, bases, and measurements. Most of these types can ... See full document
10
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework
... to natural language understanding utilize intermediate logical forms that are inter- pretable to varying ...approaches, semantic parsers first convert a sequence into a meaning representa- tion that ... See full document
10
Diagram Understanding Using Integration of Layout Information and Textual Information
... For this purpose, we propose a new framework for the semantic interpretation of words in the PBF diagrams by using not only the pattern layout information but also the natural language i[r] ... See full document
7
Learning to Embed Semantic Correspondence for Natural Language Understanding
... novel semantic frame em- bedding method by simultaneously executing the raw text to vector and structured text to vector method in a single framework to learn semantic representations more ...this ... See full document
10
Learning Structured Natural Language Representations for Semantic Parsing
... domain-independent semantic information via the intermediate ...non-isomorphic structures in the current model, it is possible to perform local structure matching, ...between natural language ... See full document
12
Research on construction of natural language processing system based on semantic web ontology
... word, semantic web research trying to relate information access problems: establishing the system to help the user location, proofreading, comparison, the control ...everyday language to access ... See full document
6
Semantic biomedical resource discovery: a Natural Language Processing framework
... in natural language can, it is believed, overcome these hurdles [13], yet computers are good at processing structured data but much less effective in handling natural language that is ... See full document
14
AllenNLP: A Deep Semantic Natural Language Processing Platform
... TokenEmbedder: This abstraction takes in- put arrays generated by e.g. a TextField and returns a sequence of vector embeddings. Through the use of polymorphism and AllenNLP’s exper- iment framework (see Section ... See full document
6
Toward Language Independent Methodology for Generating Artwork Descriptions – Exploring FrameNet Information
... Grammatical Framework (GF) (Ranta, ...a semantic interlingua, and concrete syntaxes, representing linearizations in various target languages, natural or ... See full document
6
Interoperable Annotation in the Australian National Corpus
... ISO semantic roles project follows a design strategy for semantic annotation projects that in- cludes (a) the design of a conceptual model which contains the key concepts involved in the kind of ... See full document
16
Indexing Spoken Documents with Hierarchical Semantic Structures: Semantic Tree to string Alignment Models
... written language pro- cessing, ...erarchical structures as well as the texts on them are fixed and unique to each document (here a lec- ture) and knowledge is little generalizable across different ... See full document
9
A Holistic Natural Language Generation Framework for the Semantic Web
... solution sequences, modifiers and aggregates that are to be applied to the result of the previous two sections of the query. Let Var be the set of all variables that can be used in a SPARQL query. In addition, let R be ... See full document
10
Descriptive Phrases: Understanding Natural Language Metadata
... for natural language metadata understanding using a synthetic ...of semantic matching [31], which is a technique used to identify semantically related information by establishing a set of correspon- ... See full document
237
Introducing Social Semantic Journalism
... as Semantic Web, Linked Data and Natural Language ...data, language analytics, ...Social Semantic Journalism framework is an opportunity to demonstrate the viability of these ... See full document
10
An Incremental Parser for Abstract Meaning Representation
... Several parsers for AMR have been recently de- veloped (Flanigan et al., 2014; Wang et al., 2015a; Peng et al., 2015; Pust et al., 2015; Goodman et al., 2016; Rao et al., 2015; Vanderwende et al., 2015; Artzi et al., ... See full document
11
Concept Search: Semantics Enabled Information Retrieval
... converting natural language to formal language are ...by semantic IR, thus improving the system ...purely semantic search, performing at least as well as syntactic search and improving ... See full document
160
Coarse grained sense annotation of Danish across textual domains
... It is commonly observed that word meanings vary substantially across textual domains, so that an appropriate sense inventory for one domain may be inappropriate or insufficient for another (Gale et al., 1992). This ... See full document
8
Question Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language
... and the answer is a phrase from the original sen- tence. This approach guides annotators to quickly construct high quality questions within a very large space of possibilities. Given a corpus of QA- SRL annotated ... See full document
11
Extraction of lethal events from Wikipedia and a semantic repository
... Lange et al. (2010) parsed the Wikipedia run- ning text to extract data and populate the article’s infoboxes. Their strategy is more complex than the one described in this paper since they han- dled more than 3,000 ... See full document
8
Modeling Semantic Containment and Exclusion in Natural Language Inference
... Entailment relations. We employ an inventory of seven mutually exclusive basic entailment rela- tions, defined by analogy with set relations: equiv- alence (couch = sofa); forward entailment (crow @ bird) and its ... See full document
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