Semantic features
Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features
... tactic features from parse trees and improved the discourse parser ...the semantic understanding of the text, the use of semantic features can prove useful if ...such features, though ...
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Semiautomatic Labelling of Semantic Features
... the semantic features of common nouns, using semantic relationships between words, and based on the information extracted from an electronic monolingual ...
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Multi class Animacy Classification with Semantic Features
... the semantic property of nouns denoting whether an entity can act, or is perceived as acting, of its own ...other semantic features for such applica- tions, appropriate data is ...deep ...
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Initializing Convolutional Filters with Semantic Features for Text Classification
... This paper proposes a novel weight initialization technique for CNNs. We discover that convolu- tional filters that encode semantic features at the beginning of the training tend to produce better results ...
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An Empirically Based Approach Towards a System Of Semantic Features
... An Empirically Based Approach Towards a System Of Semantic Features An Empirically Based Approach Towards a System Of Semantic Features Cornelia Zelinsky Wibbelt IAI Eurotra D Martin~Luther StraBe 14[.] ...
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Semantic Features for Automated Answer Scoring
... the features used in the previous Automated Answer Scoring system, and attempts to develop a new semantic features for Automated Scoring ...Measuring semantic similarity of sentences is ...
6
Improving Web Search Relevance with Semantic Features
... modeling semantic features, incorporating con- cept types extracted from query ...of semantic features for ma- chine learning based IR ...
10
Semantic Features in Argument Selection
... Acquiring Features and Feature Linking Rules The semantic features proposed in this paper are rooted in the child’s cognitive ...a semantic feature Cause (see Schlesinger, 1995: ...whereas ...
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An ERP study of low and high relevance semantic features
... stituent semantic features ...of semantic features manifests itself in larger N400 then this could be the cause of the reported category differences in N400 ...
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On the Robustness of Syntactic and Semantic Features for Automatic MT Evaluation
... available semantic processors, we have designed a novel family of metrics based on the Discourse Repre- sentation Theory, a theoretical framework offer- ing a representation language for the examination of ...
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Simple Coreference Resolution with Rich Syntactic and Semantic Features
... self-contained semantic module evalu- ates the semantic compatibility of headwords and individual ...and semantic filtering, reference is chosen to minimize tree ...
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Semantic Based Document Clustering Using Lexical Chains
... In this project we report our attempt towards integrating WordNet with lexical chains to alleviate these problems. The proposed approach exploits the way we can identify the theme of the document based on disambiguated ...
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Understanding the Semantic Structure of Noun Phrase Queries
... the semantic structure of noun phrase queries, ...the semantic labels of ...lexical, semantic and syntactic features. The semantic features can be constructed from structured ...
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Partial vs. Full Abstract Classes: A Review of Glucksberg’s Class-Inclusion Model of Metaphor Comprehension
... certain semantic feature or a small set of semantic features closely related to a unique semantic feature ...certain semantic feature defines a broad metaphorical class in which a large ...
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The role of the frontal cortex in memory: an investigation of the Von Restorff effect
... A second frontal component detects novelty in the input by com- paring the predicted (a leaky integrated value of its history; see Detailed Description) activation values in the semantic features layer to ...
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Simple Maximum Entropy Models for Multilingual Coreference Resolution
... and semantic features for the system, and the final features are selected us- ing a greedy forward and backward strategy from an initial feature ...
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Influence Of Syntactic, Semantic And Stylistic Features For Sentiment Identification Of Messages Using Svm Classifier
... syntactic features used in sentiment analysis ...sentiment. Semantic features are used to annotate data to express the presence or absence of semantic ...related features [13] are two ...
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Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution
... different semantic knowledge sources within a ma- chine learning based coreference resolution ...including semantic parsing information, in order to induce semantic features for coreference ...
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What Does BERT Learn about the Structure of Language?
... With our experiments, which contribute to a cur- rently bubbling line of work on neural network interpretability, we have shown that BERT does capture structural properties of the English lan- guage. Our results ...
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The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models
... This paper explores the integration of depen- dency relation classification and semantic role la- beling, using a directed graphical model that is also known as Bayesian Networks. The directed graph of our system ...
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