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Using semantic roles to improve summaries

Using semantic roles to improve summaries

... In order to identify the semantic role a specific entity express, the entity must be first identified in the text. This is the task of named entity recognition (NER). NER systems typically use linguistic ... See full document

6

Semantic Web: XML and RDF Roles

Semantic Web: XML and RDF Roles

... higher semantic level and can also facilitate new forms of indexing for efficiency, and classifying existing documents according to a given thematic or personalized, hierarchical ontology to make searching more ... See full document

8

A Comparative Study on Generalization of Semantic Roles in FrameNet

A Comparative Study on Generalization of Semantic Roles in FrameNet

... thematic roles bridged semantic roles in different ...FrameNet roles into 18 thematic ...thematic roles as the target of mappings from the roles defined by the different ... See full document

9

Transferring Semantic Roles Using Translation and Syntactic Information

Transferring Semantic Roles Using Translation and Syntactic Information

... labeling for VERB+A0. In fact, cost-sensitive training helps the system refine irrelevant projec- tions at each iteration and assigns more weight on less noisy projections, hence enhancing precision. Our analysis on ... See full document

7

Cross Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles

Cross Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles

... In the realm of supervised SRL methods, however, there have been several efforts to build SRL models that do not need a wide range of linguistic features (specifically syntactic features) (Marcheggiani et al., 2017; Zhou ... See full document

11

Crosslingual Induction of Semantic Roles

Crosslingual Induction of Semantic Roles

... shallow semantic representa- ...of semantic roles from sentences an- notated with automatically-predicted syntactic dependency representations and use a state- of-the-art generative Bayesian ... See full document

10

Automatic Labeling of Semantic Roles

Automatic Labeling of Semantic Roles

... system using gram- matical function, along with the head word, phrase type, and target word, but no passive information, scored ...system using position rather than grammatical func- tion scored ...However, ... See full document

9

Automatic Labeling of Semantic Roles

Automatic Labeling of Semantic Roles

... The first such feature, which we call “governing category,” or gov, has only two values, S and VP, corresponding to subjects and objects of verbs, respectively. This feature is restricted to apply only to NPs, as it was ... See full document

44

Unsupervised Induction of Semantic Roles

Unsupervised Induction of Semantic Roles

... tic roles are mapped onto the same syntactic func- tion, the canonical function of an argument uniquely references a specific semantic ...than using manually labeled data, we train our model on ... See full document

9

Integrating Knowledge Base Retrieval with Web Search using Semantic Roles

Integrating Knowledge Base Retrieval with Web Search using Semantic Roles

... A. Major Drawbacks of Keyword-Based Search Engines Currently, there are a number of search engines for internet users. These engines differ in both the indexing methods and the search algorithm used for generating ... See full document

6

Using Semantic Roles to Improve Question Answering

Using Semantic Roles to Improve Question Answering

... to improve answer extraction, surprising little work has been done to this effect (see Section 2 for details) and initial results have been mostly inconclusive or negative (Sun et ...shallow semantic ... See full document

10

Improving Semantic Relevance for Sequence to Sequence Learning of Chinese Social Media Text Summarization

Improving Semantic Relevance for Sequence to Sequence Learning of Chinese Social Media Text Summarization

... ated summaries are similar to source texts literally, they have low semantic ...to improve se- mantic relevance between source texts and summaries for Chinese social media sum- ...a ... See full document

6

Using Semantic Networks to Identify Temporal Expressions from Semantic Roles

Using Semantic Networks to Identify Temporal Expressions from Semantic Roles

... used semantic net- works for English and European languages respec- ...task, semantic networks have been used in the following works: Negri et ...[16], semantic net- works where used to expand a list ... See full document

6

Combining Semantic Annotation of Word Sense & Semantic Roles: A Novel Annotation Scheme for VerbNet Roles on German Language Data

Combining Semantic Annotation of Word Sense & Semantic Roles: A Novel Annotation Scheme for VerbNet Roles on German Language Data

... VerbNet semantic role annotation scheme and establish detailed annotation ...and semantic role annotation raises several ques- tions that we will address in our study: To what extent are word sense and role ... See full document

8

Using ontologies to improve semantic interoperability in health data

Using ontologies to improve semantic interoperability in health data

... Ontologies can be used to build machine-interpretable semantic representations of domain knowledge. Concepts in a domain, their attributes and their inter-relationships can be expressed using statements ... See full document

7

Language and gender: A critical discourse analysis on gender representation in a series of international ELT textbooks

Language and gender: A critical discourse analysis on gender representation in a series of international ELT textbooks

... the roles of women and men established by the ...the roles played by women and men and has specific expectations from them (Bell, McCarthy, & McNamara, ... See full document

10

ONTOLOGY BASED WEB SEARCH

ONTOLOGY BASED WEB SEARCH

... Ontology is an explicit specification of a conceptualization". Based on this definition, ontologies are used in the IR field to represent shared and more or less formal domain descriptions in order to add a ... See full document

5

Thematic Roles: Primitives of Semantic Theory or Inferences from LCS

Thematic Roles: Primitives of Semantic Theory or Inferences from LCS

... Although we have tried to present the theories in regard with theta roles, what they are and how they are projected into syntax, still many questions and problems remain unanswered. This is because, the Universal ... See full document

15

Syntactic Semantic Correspondence in Dependency Grammar

Syntactic Semantic Correspondence in Dependency Grammar

... For Chomsky Chomsky (1965), the deep structure is a simple, logical, general one, and the surface one is an evolution from the first; it generally truncates relationships and eliminates redundancy. Both are syntactic ... See full document

14

Automatic Persian Text Summarizer Using Simulated Annealing and Genetic Algorithm

Automatic Persian Text Summarizer Using Simulated Annealing and Genetic Algorithm

... Nowadays with increase of information, users need to have access to effective methods in order to search for the requested information. In most cases, people study the summary of a document rather than the whole. ... See full document

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