[PDF] Top 20 Re-ranking Method Based on Topic Word Pairs

... a re-ranking approach based on topic words pair is proposed to improve precision while recall is ...The topic word pairs contain two correlated words, one of which is the ... See full document

... This method relies on a col- lection of documents and assumes that the k keyphrase candidates containing words with the highest TF-IDF weights are the keyphrases of the ...created based on the co- ... See full document

... of word-pairs, humans can rank them in or- der of their distance—placing near-synonyms on one end of the ranking and unrelated pairs on the ...human-ranked word-pairs ... See full document

... the topic of capabilities for powerful visual protest acknowledgment, receiving direct SVM based human recognition as an ...angle based descriptors, it demonstrates tentatively that matrices of ... See full document

... Here the user given query relevant words are searched and it provides an easy access for relevant images. It will contain maximum of three relevant words which is relevant to the query word. This process contains ... See full document

... mostly based on the distributional hypothesis [9], which states that words in similar contexts have similar ...a word or term and each column corresponds to an individual document in the ...given ... See full document

... the method of word embedding based on neural network shows its outperfor- mance in semantic expression and has attracted widespread attention paid to it(Tomas, ...of word embedding is to ... See full document

... of ranking pairs of sentences. This method iteratively generates lists of “k-best” candidate translations for each sentence, and tunes the weight vector for those ...classifies pairs of ... See full document

... best word here, despite the topic again being ...the topic words ...best word la- belling — there are certainly many topics where best word labelling works, as our upper bound analysis ... See full document

... the re- ranking of the tag-based social image retrieval is how to reliably solve these ...relevance ranking and image relevance ranking approach have been dedicated to overcome these ... See full document

... the method of reclassification within the user to achieve a good differentiation between the performance of diversity and ...concurrent word set of the specified query to estimate the semantic link ... See full document

... individual word, we therefore suggest to include information on word reordering and word sense disambiguation in the lexicon, thereby considerably expanding its information ...not based on ... See full document

... the word “compute” were actually related to computing as found by human ...the word secu- larism – since our method searches for adjective secular and adverb secularly in case of secular- ism not ... See full document

... effective method when text description and query examples are ...Sketch based image retrieval (SBIR) method use a hand drawn sketch composed of simple strokes or lines to fulfill the image retrieval ... See full document

... the Word Posterior Probability (WPP) as suggested by Ueffing et ...IBM-model based features (Blatz et ...the word-aligned bilingual training corpus. The confidence value of each word is then ... See full document

... sources. Such intermittent pictures or recordings as often as possible show up in picture web indexes, (for example, Yahoo or Google) and photograph sharing locales, (for example, Flickr). In prior work, ten we broke ... See full document

... rigidity and diversity of the performance of initial retrieval results, the problem of classification in the retrieval of tag-based images has gained wide interest among researchers [42, 43, 47-50]. However, the ... See full document

... several word ranking methods and evaluate them using two ...is based on a crowdsourcing task in which participants are provided with a document and a list of topics then asked to identify the correct ... See full document

... tence pairs and the evaluation data were selected from the Hansards data ...sentence pairs was more effective in improving word alignment performance when the sentence pairs were col- lected ... See full document

... relevance based image retrieval approaches can boost the relevance performance, but the diversity performance of searching is also very ...diverse ranking methods to re-rank the search results ...a ... See full document