topic distribution
Bilingual LSA Based LM Adaptation for Spoken Language Translation
... to-one topic correspondence between monolingual LSA models, each of which can be modeled using an LDA-style ...latent topic distribution from the source language to the target language as- suming ...
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A preliminary study on automatic identification of patient smoking status in unstructured electronic health records
... using topic modelling and SVMs to automatically identify patients smoking status in unstructured ...Per-document topic distribution weights obtained from unsupervised topic modelling technique ...
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A Topic Similarity Model for Hierarchical Phrase based Translation
... using topic model for statis- tical machine translation (SMT) explore top- ic information at the word ...a topic similarity model to exploit topic information at the synchronous rule level for ...
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Supporting systematic reviews using LDA-based document representations
... modelling topic distribution in the datasets, followed by the training of an SVM-based classifier using the topic distribution as fea- ...The topic-based approach applies LDA to produce ...
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Data point selection for genre aware parsing
... one topic but can also belong to multiple genres, which makes the genre concept even more complex and also casts some doubt on the validity of the task of genre classification on the docu- ment ...and topic ...
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WikiKreator: Improving Wikipedia Stubs Automatically
... Our proposed approach consists of two stages. First, a text classifier assigns content retrieved from the web into specific sections of the Wikipedia article. We train the classifier using a set of articles within the ...
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Sentiment Independent Topic Detection in Rated Hospital Reviews
... joint topic-sentiment models, usually to improve sentiment ...the topic distribution is different for positive and negative documents and in fact use the polarity of topics to enhance the sentiment ...
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MALLET-Privacy Preserving Influencer Mining in Social Media Networks via Hypergraph
... using Topic distribution learning ...Novel Topic- Sensitive Influencer Mining (TSIM) framework in interest-based social media networks aims to find topical influential nodes among users and ...
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Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets
... 256-dimensional topic distributions using Latent Dirichlet Allocation (LDA) (Blei et ...BL, topic distributions are derived from text in the aforementioned 3 page window; for Wiki, for each image, we ...
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Topic Models for Dynamic Translation Model Adaptation
... 2003). Topic modeling has received some use in SMT, for in- stance Bilingual LSA adaptation (Tam et ...bilingual topic model for learning alignment. In our case, by building a topic distri- bution ...
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Incremental Topic Based Translation Model Adaptation for Conversational Spoken Language Translation
... LDA topic models are used to ob- tain a topic distribution over the training data, fol- lowed by dynamic adaptation of the phrase table based on the inferred topic of the test ...LDA ...
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Using LDA to detect semantically incoherent documents
... variations The texts generated with a Markov model, no matter the order, have the highest en- tropy, reflecting the absence of long range corre- lation in the generation model. Though the texts generated by mixing ...
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Authorship Attribution with Author aware Topic Models
... the topic models (Griffiths and Steyvers, 2004), run- ning 4 chains with a burn-in of 1,000 ...average topic distribution estimates obtained from training sam- ples due to topic ...
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The Sensitivity of Topic Coherence Evaluation to Topic Cardinality
... Since then, several methodologies have been in- troduced to automate the evaluation of topic coher- ence. Newman et al. (2010) found that aggregate pairwise PMI scores over the top-N topic words correlated ...
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Structural Topic Model for Latent Topical Structure Analysis
... structural topic model (strTM) to identify the latent topical struc- ture in ...traditional topic models, in which exchangeability assumption precludes them to capture the structure of a docu- ment, strTM ...
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Topic Segmentation with a Structured Topic Model
... or topic distributions instead of word frequency can significantly improve segmen- tation ...vanced topic models that model dependencies be- tween (sub-)sections in a document, such as struc- tured ...
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How patients understand depression associated with chronic physical disease - A systematic review
... Topic = attitude to mental illness Topic = patient attitudes Topic = attitude to health Topic = health knowledge Topic = patient acceptance of healthcare Topic = illness SAME cognit* OR [r] ...
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Best Topic Word Selection for Topic Labelling
... independent topic model (based on a completely unrelated document col- lection), and apply them to successfully model the best topic word for a new topic model, without requiring any additional ...
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Extreme behavior of multivariate phase-type distributions
... phase-type distribution and the bivariate special case, and gives the main results of the paper - the limiting distributions of normalized componentwise maxima and minima along with the norming ...
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Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input
... The algorithm presented in this paper demon- strates the feasibility of topic segmentation over raw acoustic input corresponding to a single speaker. We first apply a variant of the dynamic time warping al- ...
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