[PDF] Top 20 A Novel Measure for Coherence in Statistical Topic Models
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A Novel Measure for Coherence in Statistical Topic Models
... “between- topic” measure. In this paper, we hypothesize that this measure considers just one important as- pect in assessing the quality of statistical ...the topic interpretabil- ity ... See full document
6
Optimizing Semantic Coherence in Topic Models
... of statistical topic models has tra- ditionally been dominated by either extrinsic meth- ods ...of topic quality. AlSumait et al. (2009) used differences between topic-specific dis- ... See full document
11
A Graph Theoretic Framework for Semantic Distance
... new measure in several different types of NLP text comparison tasks, in order to explore the situations in which such an approach can be ...distance measure, the measure is less effective when the ... See full document
40
Automatic Evaluation of Topic Coherence
... the novel task of topic coherence evaluation, whereby a set of words, as generated by a topic model, is rated for coherence or ...of topic scoring models to the evaluation ... See full document
9
Evaluating Topic Coherence Using Distributional Semantics
... the coherence of topics. We propose a novel approach for measuring topic coherence based on the distributional hypothesis which states that words with similar meanings tend to occur in similar ... See full document
9
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
... Ultimately, all these methodologies, and also the word intrusion approach, attempt to assess the same quality: the human-interpretability of top- ics. The relationship between these methodolo- gies, however, is poorly ... See full document
10
Document Informed Neural Autoregressive Topic Models with Distributional Prior
... (Topic Coherence) Beyond PPL, we compute topic coherence (Chang et ...the coherence measure proposed by R¨oder, Both, and Hinneburg (2015) that iden- tifies context features for ... See full document
8
Measuring Topic Coherence through Optimal Word Buckets
... based topic modelling uses statistical relations between words like word co-occurrence while inferring topics and not semantic ...of topic models like LDA in text mining techniques and ... See full document
6
Exploring Topic Coherence over Many Models and Many Topics
... a topic model, we are primarily con- cerned with the degree to which the learned top- ics match human judgments and help us differen- tiate between ...these models has been ad hoc and applica- tion ... See full document
10
Learning to Rank Semantic Coherence for Topic Segmentation
... unsupervised models make progress in modeling text coherence, they mostly suffer from one of the following two ...to measure coherence with text sim- ilarity, since text similarity is just one ... See full document
5
Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?
... perspective, topic models seem attractive in the sense that they can provide a descriptive and intu- itive representation of ...semantic coherence of topic models (Newman et ...semantic ... See full document
5
Sensor based human activity mining using Dirichlet process mixtures of directional statistical models
... Abstract—We have witnessed an increasing number of activity- aware applications being deployed in real-world environments, including smart home and mobile healthcare. The key enabler to these applications is sensor-based ... See full document
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Polylingual Topic Models
... affect topic model ...in topic emphasis between ...polylingual topic mod- els can increase cross-cultural understanding by providing readers with the ability to ... See full document
10
Genuine correlated coherence
... correlated coherence C GCC , an analytical proof is ...correlated coherence that involves only a limited number of parties, and coherence that involves many or all ...correlated coherence like ... See full document
17
Optinalytic (Statistical) Mirroring: A New Novel Approach of Measure of Dispersion
... proposed statistical tools are not very efficient with large outliers except meanic ...considered statistical tools considered are sensitive to outliers, only meanic deviation shown a less sensitivity and ... See full document
18
Coherence models in schizophrenia
... compute coherence metrics for spontaneous speech in ...improving coherence models in ...and coherence metrics derived from different ...higher coherence metrics for controls than ... See full document
11
A Neural Network Approach to Verb Phrase Ellipsis Resolution
... under statistical models on both two separate tasks and the end-to-end ...neural models for modeling the deep semantics across a sentence on all the 3 ... See full document
8
Autobiography of Roberto Todeschini
... The interests of Todeschini about chemometrics include all its theoretical aspects. Critical reviews about Q 2 metrics proposed in literature for evaluating prediction ability of regression models were published ... See full document
13
Modelling student performance in a tertiary preparatory course
... model (influential points are labelled 1 to 5) shown on the top graph. Plot of residual quantiles against theoretical quantiles shown on the lower graph. . . . . . . . . . . . . . . . . . . . . 85 4.11 Comparison of ... See full document
12
Topic Identification in Discourse
... Under the topic coherence postulation, the nouns that have the strongest connectivities with the other nouns and verbs in the discourse form the preferred topic set.. The collocational s[r] ... See full document
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