On the Effectiveness of Information Retrieval Based Bug Localization for C Programs

For the modality classification and image retrieval tasks, our best results were obtained using mixed approaches, indicating the importance of both textual and visual features for

queries cbir without case backoff (mixed): Essie search like run (3) but form- ing the query using the captions of the top 3 images retrieved using a content- based

Table 2 instead presents the statistical correlation of the language used in the search query and the language used in the User Interface; from the experimental evidence emerges

To generate the feature vectors at different levels of abstraction, we extract both visual concept- based feature based on a “bag of concepts” model comprising color and texture

The indexing process is performed by means of the Lucene search engine, generating two index for each text: a geo index, containing all the geographical terms included in the text

Information retrieval, Stemming, Morphological Analysis, Hungarian Language.. 1 Background for the

We used the Systran ® translator to convert French and Spanish queries to English for our bilingual experiments and to convert English topics to French, German and Italian in

Performance on the Similar Seg- ments in Social Speech Task at MediaEval 2013 was well above baseline, showing the value of prosody for