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[PDF] Top 20 Automatic Evaluation of Topic Coherence

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Automatic Evaluation of Topic Coherence

Automatic Evaluation of Topic Coherence

... 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 task, drawing ... See full document

9

Automatic Evaluation of Local Topic Quality

Automatic Evaluation of Local Topic Quality

... global topic distributions that they generate, using metrics such as coherence, but without regard to local (token-level) topic as- ...token-level topic assignments, are only validated on ... See full document

9

Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison

Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison

... document– topic matrix to learn topic domain distinctions for the documents from their assignment to the topics in a supervised ...Some topic domains occurred only rarely in the gold standard, and we ... See full document

6

Evaluating Topic Coherence Using Distributional Semantics

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

Using Encyclopedic Knowledge for Automatic Topic Identification

Using Encyclopedic Knowledge for Automatic Topic Identification

... on topic identifica- tion (Medelyan and Witten, 2008), where 20 doc- uments in the field of computer science were inde- pendently annotated by 15 teams of two computer science ... See full document

9

A Novel Measure for Coherence in Statistical Topic Models

A Novel Measure for Coherence in Statistical Topic Models

... “between- topic” ...the topic interpretabil- ity by examining the “coherence” of a topic gener- ated by topic modeling algorithms, ...close topic words are within a ...of ... See full document

6

Learning to Rank Semantic Coherence for Topic Segmentation

Learning to Rank Semantic Coherence for Topic Segmentation

... Topic segmentation plays an important role for discourse parsing and information retrieval. Due to the absence of train- ing data, previous work mainly adopts un- supervised methods to rank semantic co- herence ... See full document

5

Automatic Keyphrase Extraction via Topic Decomposition

Automatic Keyphrase Extraction via Topic Decomposition

... the topic distribution of the document, we fur- ther calculate the ranking scores of words and extract the top ranked ones as ...various evaluation met- ... See full document

11

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

... semantic coherence, replac- ing PMI with log conditional ...the topic-modelled documents, and found that their measure correlates well with human judgements of observed coherence (where topics were ... See full document

10

Optimizing Semantic Coherence in Topic Models

Optimizing Semantic Coherence in Topic Models

... The evaluation of statistical topic models has tra- ditionally been dominated by either extrinsic meth- ods ...on evaluation of topics as semantically- coherent ...automated evaluation metric ... See full document

11

Exploring Topic Coherence over Many Models and Many Topics

Exploring Topic Coherence over Many Models and Many Topics

... When using 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 ideas. But until recently, the evalua- tion of these ... See full document

10

Using Latent Dirichlet Allocation for Child Narrative Analysis

Using Latent Dirichlet Allocation for Child Narrative Analysis

... tasks: automatic prediction of coherence and language im- ...the automatic prediction of coherence and lan- guage impairment when we use features derived from the topic words provided ... See full document

5

An Automatic Approach for Document level Topic Model Evaluation

An Automatic Approach for Document level Topic Model Evaluation

... and topic allocations to individual documents (in the form of multinomial distributions over top- ics), and provide a powerful means of document collection navigation and visualisation (Newman et ...LDA-style ... See full document

10

The Sensitivity of Topic Coherence Evaluation to Topic Cardinality

The Sensitivity of Topic Coherence Evaluation to Topic Cardinality

... measured topic coherence correlates negatively with model ...given topic and users are asked to identify the intruder ...low coherence (and vice versa), based on the in- tuition that the more ... See full document

5

Automatic evaluation of surface coherence in L2 texts in Czech

Automatic evaluation of surface coherence in L2 texts in Czech

... text coherence) for distinguishing the individual CEFR levels ...text coherence concerning various discourse phenomena (like the use and frequency of connectives ...their automatic monitoring and ... See full document

15

Applicability of automatic spectral domain optical coherence tomography for glaucoma mass screening

Applicability of automatic spectral domain optical coherence tomography for glaucoma mass screening

... Purpose: To perform a preliminary evaluation of the applicability of automatic spectral domain optical coherence tomography (ASD-OCT) for glaucoma mass screening in a population-based [r] ... See full document

7

Distributional Lexical Entailment by Topic Coherence

Distributional Lexical Entailment by Topic Coherence

... This paper starts from the assumption that the DIH sometimes fails, and investigates not the amount of containment of A’s features in B’s fea- tures, but rather the nature of the non-contained features. We consider the ... See full document

9

Topic Specific Sentiment Analysis Can Help Identify Political Ideology

Topic Specific Sentiment Analysis Can Help Identify Political Ideology

... We used the publicly available Convote dataset 2 (Thomas et al., 2006) for our exper- iments. The dataset provides transcripts of debates in the House of Representatives of the U.S Congress for the year 2005. Each file ... See full document

6

Experimental Design to Improve Topic Analysis Based Summarization

Experimental Design to Improve Topic Analysis Based Summarization

... likelihoods. Topic word distributions, Φ, from training are used to infer document mixtures, Θ, on the held- out data, and the log P (w) is calculated (Teh et ... See full document

9

Towards an Automatic Identification of Topic and Focus

Towards an Automatic Identification of Topic and Focus

... i The following requirements on the output of an automatic analysis are significant: a in the output of the analysis it should be marked which elements of the analyzed sentence belong to[r] ... See full document

5

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