Titlebook: Information Retrieval Technology; 5th Asia Information Gary Geunbae Lee,Dawei Song,Tetsuya Sakai Conference proceedings 2009 Springer-Verla

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CLOWN

輕浮思想

Weighted Rank Correlation in Information Retrieval Evaluationings is called rank correlation. Rank correlation helps decide the success of new systems, models and techniques. To measure rank correlation, the most used coefficient is Kendall’s .. However, in IR, when computing the correlations, the most relevant, useful or interesting items should often be con

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Extractive Summarization Based on Event Term Temporal Relation Graph and Critical Chainmachine-generated summaries. Using the verb semantic relation, namely . provided by VerbOcean, we construct an event term temporal relation graph for source documents. We assume that the maximal weakly connected component on this graph represents the main topic of source documents. The event terms i

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Palate

Automatic Extraction for Product Feature Words from Comments on the Web find out the advantages and disadvantages of the product of his interest. How to automatically manage the numerous opinionated documents and then to give suggestions to the potential customers is becoming a research hotspot recently. Constructing a sentiment resource is one of the vital elements of

潛移默化

Image Sense Classification in Text-Based Image Retrievalt the sense descriptions, and employ them to disambiguate the image senses in text-based image retrieval. In the experiments on 10 ambiguous terms, 97.12% of image senses returned by a search engine are covered. The average precision of sample images is 68.26%. We propose four kinds of classifiers u

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A Subword Normalized Cut Approach to Automatic Story Segmentation of Chinese Broadcast Newscognition transcript using a weighted undirected graph, where the nodes correspond to sentences and the weights of edges describe inter-sentence similarities. Story segmentation is formalized as a graph-partitioning problem under the N-cut criterion, which simultaneously minimizes the similarity acr

漂亮

Japanese Spontaneous Spoken Document Retrieval Using NMF-Based Topic Modelsntaneous spoken document retrieval. Each document is interpreted as a generative topic model, belonging to many topics. The relevance of a document to a query is expressed by the probability of a query word being generated by the model. Different from the conventional vector space model where the ma

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Finding ‘Lucy in Disguise’: The Misheard Lyric Matching Problemique challenges that are different to related problems such as name search. We compared three techniques, each configured for local rather than global matching: edit distance, Editex, and SAPS-L — a technique derived from Syllable Alignment Pattern Searching. Each technique was selected based on eff