word co-occurrences
Word Node2Vec: Improving Word Embedding with Document Level Non Local Word Co occurrences
... document-level co-occurrences between words have been widely used to estimate semantic similarities between ...a word distribution over the vocabu- ...document-level word co- ...
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Studying the Temporal Dynamics of Word Co occurrences: An Application to Event Detection
... of word co-occurrences over time using social media ...that co-occurrences between words will change over time as a response to real world ...analyse co-occurrence statistics ...
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Automatic Identification of Word Translations from Unrelated English and German Corpora
... Based on the word co-occurrences in the English corpus, an association matrix was computed whose rows were all word types of the corpus with a frequency of 100 or higher 3 and whose colu[r] ...
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Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts
... of word co-occurrences at the document ...using word co-occurrences at the corpus ...i.e., word co-occurrence patterns, extracted from ...by word embeddings ...
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Structural Disambiguation Based on Reliable Estimation of Strength of Association
... We proposed a class-based method that selects classes to be used to estimate the strength of association for word co-occurrences.. The classes selected by our method can be used to estim[r] ...
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AN APPROACH TO EXTRACT ALIASES OF A GIVEN PERSONAL NAME
... frequency, word co-occurrences in an anchor text graph [2], and page counts on the ...while co-occurrence is defined as number of different urls in which they ...
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Improving Collocation Correction by Ranking Suggestions Using Linguistic Knowledge
... a word co- occurrence with respect to its correctness as collocation and obtain suggestions for its correction in case it is determined to be a miscollocation; ...isolated word co-occurrence; ...
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Combining Discourse Markers and Cross lingual Embeddings for Synonym–Antonym Classification
... cross-lingual word embeddings to distin- guish lexical relations in other ...and word co-occurrences with discourse markers that indicate ...
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Optimized Event Storyline Generation based on Mixture Event Aspect Model
... little word co-occurrences and distinctive event body informa- tion to each other, while the process and result of this tragedy can be regarded as global-sub-events which have a lot of word ...
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Capturing Word Semantics From Co-occurrences Using Dynamic Mutual Information
... uses word co-occurrence count directly as the word vector. Word co-occurrences are recorded by moving a window over the corpus in one word increment, and for each ...
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Machine Learning Approach by Document Clustering using Probability of Word Occurrences
... Abstract - Now a day the rapid increase in the fields of internet, data science, big data and data mining the extraction of hidden information from the documents become a challenging task. The text document doesn’t have ...
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Combining Syntactic Co occurrences and Nearest Neighbours in Distributional Methods to Remedy Data Sparseness
... syntactic co-occurrences (that are usually input to distribu- tional methods) with nearest neighbours (the output of the system from a previous round) we are able to improve the performance on low- and ...
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Word Association Profiles and their Use for Automated Scoring of Essays
... We also explored a feature that captured the area with the negative correlations identified in section 4.2. This feature did not succeed in im- proving the performance over the baseline on setA p1-p6; we tentatively ...
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Selective Co occurrences for Word Emotion Association
... a word exists in an emotion cate- gory, we assign +1 for that ...a word and all the emotion ...the word “awful” and 8 emotions (anger, anticipation, disgust, fear, joy, sadness, surprise, trust) as: ...
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Image Steganalysis Based on Co-Occurrences of Integer Wavelet Coefficients
... obtaining co-occurrence matrix of them. In the other word, we consider only four least significant bitplanes of the coefficients and clip the other most significant ...
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WithOurOwnWords_Sturm_Nelson.pdf
... the word books (with 36 occurrences) was the most common word once stop- words and the words children, story, stories, and storytelling were removed from the ...
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Lexical access via a simple co occurrence network (Trouver les mots dans un simple réseau de co occurrences) [in French]
... Zock et al. (2010) propose an association-based index to support interactive lexical access for language producers. To this end they suggest to build a matrix on the basis of co-occurrences. Put ...
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A Novel Approch Automatically Categorizing Software Technologies
... 4. Current system that calculates the textual similarity based on the similarity of grams between the first paragraph of the section of the selected article and the extract of the label. This metric calculates the ...
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Addressing Ambiguity in Unsupervised Part of Speech Induction with Substitute Vectors
... We study substitute vectors to solve the part-of-speech ambiguity problem in an unsupervised setting. Part-of-speech tag- ging is a crucial preliminary process in many natural language processing applica- tions. Because ...
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Pattern-avoiding alternating words
... several occurrences of the pattern 123, for example, the subsequences 356 and 157, while this permutation avoids the pattern ...321. Occurrences of a pattern in words are defined similarly as subsequences ...
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