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An Information Theoretic Approach to Automatic Evaluation of Summaries
... Proceedings of the Human Language Technology Conference of the North American Chapter of the ACL, pages 463–470, New York, June 2006.c©2006 Association for Computational Linguistics.[r] ... See full document
8
Automatic Evaluation of Summaries Using N gram Co occurrence Statistics
... manual summaries and evaluation results, not only in the formal evaluation every year but also in developing systems and designing automatic evaluation ...annual automatic ... See full document
8
Automatic evaluation of spoken summaries: the case of language assessment
... 1 computed over the output of the au- tomated speech recognizer has a Spear- man correlation of ρ = 0.55 with experts’ scores of speakers’ proficiency (ρ = 0.51 for a content-vector baseline). Further in- creases in ... See full document
11
Pruning Basic Elements for Better Automatic Evaluation of Summaries
... BE was proposed to compensate some of the short- comings of ngrams (Hovy et al., 2006). ROUGE usually uses short ngrams such as unigrams and bigrams, but these can be low-information con- tent because they are ... See full document
6
Discrepancy Between Automatic and Manual Evaluation of Summaries
... our evaluation, BlogSum-generated summaries were compared with the original candidate list gen- erated by our approach without the discourse re- ordering ...this evaluation, we have gener- ... See full document
9
An Automatic Method for Summary Evaluation Using Multiple Evaluation Results by a Manual Method
... computer-produced summaries, a number of automatic and manual methods have been ...evaluate summaries correctly, because humans evaluate them, but are ...hand, automatic methods, which use ... See full document
8
A Decade of Automatic Content Evaluation of News Summaries: Reassessing the State of the Art
... are automatic content metrics for news summary evaluation? Here we provide a detailed answer to this question, with a particular focus on assessing the ability of automatic evaluations to identify ... See full document
6
Automatically Assessing Machine Summary Content Without a Gold Standard
... system summaries using manual and automatic ...an evaluation metric to identify good and poor quality system summaries produced for a specific input and this task is bound to be harder than ... See full document
34
Better Summarization Evaluation with Word Embeddings for ROUGE
... ROUGE is a widely adopted, automatic evaluation measure for text summariza- tion. While it has been shown to corre- late well with human judgements, it is bi- ased towards surface lexical similarities. This ... See full document
6
Categorical Database Information-Theoretic Approach of Outlier Detection Model
... Here evaluations on a small real data set and a bundle of synthetic data sets shows that the proposed algorithms do tend to optimize the selection of candidates as outliers. Moreover, our experiments on real and ... See full document
8
Update summarization: building from scratch for Portuguese and comparing to English
... Pyramid evaluation, automatic summaries are scored by their content units (which usu- ally are manually identified concepts represented by the occurring n-grams), which are weighted by the number of ... See full document
12
Automatic generation of short informative sentiment summaries
... our approach to these two ...our approach is unsupervised and does not require manual an- notation of a training set of supporting ...novel evaluation measure for summarization based on crowdsourcing ... See full document
10
An Information Theoretic Approach to Bilingual Word Clustering
... our evaluation on the latter prob- lem. For our evaluation, we use our word clusters as an input to a named entity recognizer which uses these clusters as a source of ...Our evaluation task is the ... See full document
7
Automatic Threshold Selection in Os-CFAR Radar Detection Using Information Theoretic Criteria
... new approach for efficiently determining the unwanted interfering samples in the reference window, for the ordered statistics constant false alarm rate detector, based on the application of the information ... See full document
19
Image Information Mining System Evaluation Using Information-Theoretic Measures
... image information mining depends on the capability to carefully evaluate the image retrieval and image understanding func- tions and ...an evaluation should include the technical (objective) quality of a ... See full document
11
DEPEVAL(summ): Dependency based Evaluation for Automatic Summaries
... for automatic systems, but not for both at the same ...dard summaries and automatically generated sum- maries of poor-to-medium quality is, in a way, not the same ...conceptual information expressed ... See full document
9
An information theoretic approach for knowledge representation using Petri nets
... of information theory for knowledge represen- ...(plausible) information about the system using states of ...uncertain information exchange about a state variable within the system ... See full document
8
Using Leading Text for News Summaries: Evaluation Results and Implications for Commercial Summarization Applications
... Using Leading Text for News Summaries Evaluation Results and Implications for Commercial Summarization Applications Using Leading Text for News Summaries Evaluation Results and Implications for Commer[.] ... See full document
5
An information theoretic approach to speech feature selection applied to speech detection
... Computation of this information metric for speech training sets has shown the first adaptive linear prediction coefficient from the stochastic gradient algorithm to be the optimal single[r] ... See full document
28
Predicting the Profit Potential of a Microeconomic Process: An Information Theoretic/Thermodynamic Approach
... inject Information into the process, and that Information is in fact Negative Entropy which reduces ...by Information. Information tells us something unexpected, ...no information was ... See full document
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