co-occurrences
Selective Co occurrences for Word Emotion Association
... Emotion classification from text typically requires some degree of word-emotion association, either gathered from pre-existing emotion lexicons or calculated using some measure of semantic relatedness. Most emotion ...
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Word Node2Vec: Improving Word Embedding with Document Level Non Local Word Co occurrences
... Local Co-occurrence approaches. As ap- proaches that use local co-occurrence infor- mation, we use three state-of-the-art embedding approaches namely skip-gram word2vec with neg- ative sampling (SGNS) ...
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Combining Syntactic Co occurrences and Nearest Neighbours in Distributional Methods to Remedy Data Sparseness
... (third-order co-occurrences) and so ...both co- occur with for example to ...should co-occur with ...higher-order co- occurrence, that of connectivity paths in networks, is taken in ...
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Automatic Discovery of Association Orders between Name and Aliases from the Web using Anchor Texts based Co occurrences
... texts-based co-occurrences between name and aliases in order to help the search engine tag the aliases according to the order of ...texts-based co-occurrence graph between name and ...texts-based ...
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Acquiring Inference Rules with Temporal Constraints by Using Japanese Coordinated Sentences and Noun Verb Co occurrences
... on occurrences of the events described in the ...word co-occurrence was proposed by Geffet and Dagan (Geffet and Da- gan, 2005) but our method is simpler and we expect it to be applicable to a wider range ...
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Filling Missing Paths: Modeling Co occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations
... One of the most popular approaches is based on patterns that encode a specific kind of relation- ship (synonym, hypernym, etc.) between adjacent words. This type of approach is called a path- based method. ...
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Lexical access via a simple co occurrence network (Trouver les mots dans un simple réseau de co occurrences) [in French]
... de co-occurrences à partir des résumés de Wikipedia, le but étant de vérifier jusqu'où l'on pouvait pousser une telle ressource pour trouver un mot, sachant que la ressource ne contient pas de liens ...
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Studying the Temporal Dynamics of Word Co occurrences: An Application to Event Detection
... We use our best performing method on previous evalua- tions (S-s) – here denoted SCT (Spectral Clustering with Time partitioning) – and compare it to the state-of-the-art approach of Petrovi´c et al. (2010). This method ...
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Text Retrieval by Term Co occurrences in a Query based Vector Space
... term co-occurrence in a limited text chunk (a sentence or a paragraph), yet without the complexity of good text ...term co-occurrence in text matching over matching of document-size bags-of- words, and (ii) ...
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Unraveling human protein interaction networks underlying co occurrences of diseases and pathological conditions
... disease co-occurrences in a human population were also inter- rogated using onset co-occurrence relationships based on 31 million patients [11] ...
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Image Steganalysis Based on Co-Occurrences of Integer Wavelet Coefficients
... This paper has discussed a new steganalysis method based on features which were extracted from co- occurrence matrices of integer wavelet coefficients which some of its most significant bitplanes are deleted. We ...
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How well can a corpus derived co occurrence network simulate human associative behavior?
... In this paper, we are mainly interested in the automatic acquisition of associations by com- puter. More precisely, we want to check whether a corpus-based method allows us to build auto- matically an associative network ...
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Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis
... In order to understand what the linguistic mark- ers found by the convolutional neural network ap- proach are, we conducted several tests on different languages and our model seems to get the same behavior in all of ...
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AN APPROACH TO EXTRACT ALIASES OF A GIVEN PERSONAL NAME
... Abstract: A person may have multiple personal name aliases i.e. nick names on web. It is important to find aliases in order to get the complete information about particular entity. In various task such as relation ...
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Managing and coping with names of pleomorphic fungi in a period of transition
... & co-occurrences, particularly as fungicolous fungi have sometimes been misinterpreted as anamorphs of their &Code itself provides no guidance as to proofs of holomorphy, and this remains a ...
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Hypertextuality, Complexity, Creativity: Using Linguistic Software Tools to Uncover New Information about the Food and Drink of Historic Mayans
... the co-occurrences revealed by Tropes between hypertextual elements, as well as the contexts where they occur, provide illustrations of the precise meaning of words referring to food and drink in those ...
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Frequent mutations in acetylation and ubiquitination sites suggest novel driver mechanisms of cancer
... Several considerations limit the interpretation of our findings. First, as PTMs occur tissue-specifically and are mostly discovered through high-throughput technologies, our site collection is incomplete and is expected ...
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Resolving Referential Ambiguity on the Web Using Higher Order Co-occurrences in Anchor-Texts
... order co-occurrences but also the higher order co-occurrences among the anchor texts for a given name and alias which will help in the expansion of a query for retrieval of relevant ...The ...
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Improving Collocation Correction by Ranking Suggestions Using Linguistic Knowledge
... the co-occurrences from a learner text, variegate them and then look up the original co-occurrence and its variants in a reference list to decide on its ...
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A Study on the Interplay Between the Corpus Size and Parameters of a Distributional Model for Term Classification
... (i.e., co-hyponym ...Since co-hyponymy is an inheritable relationship, terms under each category, disregarding the subcategory that they belong to, are still ...
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