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Showing 1 to 20 of 39 for “"WordNet"”.
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An Organizational Approach to the Polysemy Problem in WordNet
Polysemy in WordNet corresponds to various kinds of linguistic phenomena that can be grouped into five classes. One of them is homonymy that refers to the cases, where the meanings of a term are unrelated, and three of the classes refer to the polysemy cases, where the meanings of a term are …
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Parse reranking with WordNet using a hidden variable model
… Collins and Terry Koo 2004) by incorporating WordNet (Miller et al. 1993) word senses. Instead of attempting explicit word sense disambiguation, we retain word sense ambiguity in a hidden variable model. We define a probability distribution over candidate parses and word sense assignments with …
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A General Purpose Semantic Parser Using FrameNet and WordNet®.
… parser which utilizes a semantic network (WordNet), and a frame dataset (FrameNet). Semantic relations recognized by the parser are based on how human beings represent knowledge of the world. Parsing semantic structure allows semantic units and constituents to be accessed and processed in a …
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STaRS.sys: designing and building a commonsense-knowledge enriched wordnet for therapeutic purposes
… resource we chose to exploit the Italian MultiWordNet lexicon derived from the original Princeton WordNet. We show that the WordNet model is relatively well suited for our needs, but that an extension of its semantic model is nevertheless needed. Starting from the assumption that the kinds …
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Extracting conceptual structures from multiple sources
… conceptual structures from multiple sources: Wordnet, Web Corpora and Wikipedia. The conceptual structures extracted from Wordnet and Web Corpora are inspired by the feature norm effort in cognitive psychology. The conceptual structure extracted from Wikipedia makes the transition between …
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Similarity Detection Based on Semantic Distance
… methodologies with the conceptual framework of WordNet, semantic distance is used to measure the similarity between documents. Noun and verb word concepts are transformed into paths that represent their physical location within the WordNet hierarchy. Path prefixes are compared using three …
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Knowledge-based methods for automatic extraction of domain-specific ontologies
… retrieval metrics, lexical knowledge-base(like WordNet), machine learning techniques, heuristics, and statistical approaches to meet the challenge of the task. These methods are domain-independent and automatic approaches. For extraction of concepts, the proposed WNSCA+{PE, POP} method utilizes …
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Improving Topic Tracking with Domain Chaining
… chainer. This chainer relies not only on the WordNet database for semantic relationships but also on Magnini's semantic domain database, which is an extension of WordNet. The domain-chaining algorithm is a linear algorithm. Second, to handle proper nouns, we gather all of the ones that occur …
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A query language for information graphs
… techniques have been demonstrated using the WordNet database. Queries for the database have been identified and formulated using GOAL. The effectiveness of the optimization techniques has been demonstrated for six typical query forms with randomly selected words.
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Modelling Metaphorical Extension
… task, which classifies senses in the English WordNet as metaphorical or literal. To train this model, I design a procedure that combines token-based metaphor identification with word sense disambiguation. I collect evaluation data for this task and find that my model significantly outperforms …
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Concept challenge game: a game used to find errors from a multilangual linguistic resource
… errors as the side effect. For example, Chinese WordNet follows the WordNet structure and is generated via several algorithms. This automatic generation of resources introduces many kinds of errors such as wrong translation, typos and false mapping between multilingual terms. The quality of a …
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Domain adaptation with minimal training
… show how resources like Wikipedia, VerbNet and WordNet that contain comprehensive coverage of entities, semantic roles and words in English can help a model adapt to the target domain. For the task of semantic role labeling, we show that in the decision phase, we can replace a linguistic unit …
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PoEM : a parser of emotion metaphors
… and interpretation rules in PoEM, using the WordNet lexical database for supplemental semantic information. Evaluation of PoEM demonstrates fairly high accuracy but low recall.
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Lexical entailment
… those that make use of knowledge bases such as WordNet. Interestingly, these methods make very different kinds of mistakes and so in this thesis, we construct a new entailment measure by combining these two paradigms in such a way that exploits their differences. We also experiment with …
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Ontology learning for the semantic deep web
… to several major, popular ontologies, such as WordNet, OpenCyc and the UMLS. Subsequently the domain ontologies developed in this research were evaluated from the naturalness perspective.
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Performance evaluation of text augmentation methods with BERT on imbalanced datasets
… study examines the effectiveness of Word2Vec and WordNet augmentation methods with BERT fine-tuning on datasets of various sizes (e.g., 500, 1,000, and 5,000 training documents) and imbalance ratios (e.g., 4:1 and 9:1). It compares them with other methods for imbalanced data, including boosting, …
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Word sense disambiguation through lattice learning
… to its meaning is an open and difficult one. The WordNet[3] lexical database uses a system of nested supersets to allow programs to be specific as to what meaning of a word they are using, but a system that picks the correct meaning is still necessary. In an attempt to capture the human …
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Computational Production of Affect-Based Verbal Humorous Expressions
… We have developed some of these resources (WordNet-Affect and Affective-Weight) in an early stage of the research. The system can be used as a testbed for the empirical investigation of various aspects of verbal humor. More specifically, it can be used to study the correlation between …
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Context Aware Textual Entailment
… background knowledge from sources (VerbOcean and WordNet), with resolution of conflicts between extracted clauses, and handling the role of context in resolving uncertain truth.
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