lexical similarity
Evaluating Lexical Similarity to build Sentiment Similarity
... First, lexical similarity and sentiment similarity are not fully ...to lexical similarity (like word embed- ding or spectral representation) do not perform well to re- trieve words with ...
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Structured Lexical Similarity via Convolution Kernels on Dependency Trees
... neering lexical/syntactic features (or more in gen- eral syntactic/semantic ...encodes lexical similarity in such ...semantic similarity of the corresponding leaves in the syntactic ...
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Evaluating lexical similarity and modeling discrepancies in the procedure hierarchy of SNOMED CT
... The position of the matching and differing words be- tween the two concepts is not considered in a similarity set. This enables the methodology to consider more con- cepts than it would by taking into ...
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Lexical similarity can distinguish between automatic and manual translations
... The method of using phylogenetic trees to visualize the similarity between sentences may also be extended to use in automatic translation evaluation to judge the quality of an automatic translation. When one knows ...
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Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition
... measure lexical similarity for humor recogni- ...obtain lexical fea- tures of short humor texts. To capture lexical similarity for humor recognition, we propose to represent the tensor ...
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Using Lexical and Relational Similarity to Classify Semantic Relations
... Our implementation of the lexical similarity model uses the same feature set as ´ O S´eaghdha and Copestake (2008). Two corpora were used to extract co-occurrence information: the writ- ten component of the ...
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Co occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity
... distributional similarity between words have been proposed in many areas of Natural Language ...tional similarity is taken to be an approximation to semantic ...distributional similarity, many ...
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AUTOMATIC ANNOTATION AND RETRIEVAL SYSTEM (ILARS) FOR ENHANCING ORGANIZATIONAL E-LEARNING.
... Extending the reusability of LOsto satisfy user needs in a given domain can be achieved by semantically annotatingLO metadata with specific contextual informationrelated to the particular organization. However, given ...
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Intra Speaker Topic Modeling for Improved Multi Party Meeting Summarization with Integrated Random Walk
... Table 1 shows the performance achieved by all proposed approaches. In these experiments, the damping factor, (1 − α − β ) in (8), is empirically set to 0.1. Row (a) is the baseline, which use LTE-based statistical ...
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DKPro Similarity: An Open Source Framework for Text Similarity
... text similarity is key to several natu- ral language processing applications such as au- tomatic essay grading, paraphrase recognition, or plagiarism ...text similarity measures proposed in the literature ...
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Verb Classification using Distributional Similarity in Syntactic and Semantic Structures
... distributional lexical semantics, to train au- tomatic ...the similarity between two verbs in terms of all the possible substructures of their syn- tactic ...and lexical similarity so that ...
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Mining semantic networks of bioinformatics e-resources from the literature
... establish similarity between resources, their literature-based profiles are compared using three levels of representations: the lexical similarity between resource names (method 1); the ...
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Integrating Pattern Based and Distributional Similarity Methods for Lexical Entailment Acquisition
... The main contribution of this paper is a novel integration of the pattern-based and distributional approaches for lexical semantic acquisition, ap- plied to lexical entailment. Our investigation highlights ...
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SemSim: Resources for Normalized Semantic Similarity Computation Using Lexical Networks
... The network is a parsimonious representation of corpus statistics as they pertain to the estimation of semantic similarities between word-pairs in the lexicon. In addi- tion, the semantic network can be used to discover ...
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Computation of ontology resemblance coefficients for improving semantic interoperability
... Ontology alignment tools have benefited a lot from the use of lexical and structural similarity measures, in order to discover semantic correspondences between entities of different ontologies. Though ...
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Using Distributional Similarity for Lexical Expansion in Knowledge based Word Sense Disambiguation
... For our fine-grained experiments, we used the all-words and lexical sample tasks from Senseval-2 (Palmer et al., 2001; Kilgarriff, 2001) and Senseval-3 (Snyder and Palmer, 2004). With these data sets, however, ...
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“Let Everything Turn Well in Your Wife”: Generation of Adult Humor Using Lexical Constraints
... The procedure gets as input a segment of English text (e.g.: “Let everything turn well in your life!”). Then it performs a single word substitution (e.g: ‘life’ → ‘wife’), and returns the resulting text. To make it ...
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How Comparable are Parallel Corpora? Measuring the Distribution of General Vocabulary and Connectives
... In the field of natural language processing, several studies on parallel corpora have shown that when building a statistical machine translation system, knowing which texts have been originally written in a given ...
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Generalising and Normalising Distributional Contexts to Reduce Data Sparsity: Application to Medical Corpora
... In this paper, we address the reduction of data sparsity in matrices of context vectors used to imple- ment the distributional analysis. We proposed to generalise and normalise the distributional contexts with synonymy ...
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Electrophysiological studies of formal, derivational and repetition priming
... Rugg et al (1994) presented subjects with word pairs and required them to make a lexical decision to each word (experiment 1) or to decide whether the two words were semantically related (experiments 2 ,3 and 4). ...
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