We present a visualization oriented data mining tool designed for biomedical images with focus objects. The main functions of the tool are accessible via two interfaces: Query by Example and Query by Features. Each interface has visual feedback functions associated with it. The query-by-example interface allows the user to do similarity search using multiple image features. The visual feedback ...

This paper describes an effective unsupervised method for query-by-example speaker retrieval. We suppose that only one speaker is in each audio file or in audio segment. The audio data are modeled using a common universal codebook. The codebook is based on bag-of-frames (BOF). The features corresponding to the audio frames are extracted from all audio files. These features are grouped into clus...

This paper describes “Kyoto-U” MT system that attended the patent translation task at NTCIR-7. Example-based machine translation is applied in this system to integrate our study on both structural NLP and machine translation. In the alignment step, consistency criteria are applied to solve the alignment ambiguities and to discard incorrect alignment candidates. In the translation step, translat...

This paper presents a content-based interactive video browsing system to address the challenge in a live video search competition to find specific video clips from a large video collection under time constraints. Since the target of this evaluation forum is to evaluate and demonstrate the development of interactive video search tools, we do not need to consider if the most commonly used query-b...

This paper presents a methodology for identifying and resolving various kinds of inconsistency in the context of merging dependency and multiword expression (MWE) annotations, to generate a dependency treebank with comprehensive MWE annotations. Candidates for correction are identified using a variety of heuristics, including an entirely novel one which identifies violations of MWE constituency...

Software agents are intended to perform certain tasks on behalf of their users. In many cases, however, the agent’s competence is not sufficient to produce the desired outcome. This chapter presents an approach to cooperative problem solving in which an information agent and its user try to support each other in achieving a particular goal. As a side effect the user can extend the agent’s capab...

Translating documents from a source to a target language is a repetitive activity. The attempt to automate such a difficult task has been a long-term scientific dream. Among the several types of approaches in Machine Translation (MT), one of the most promising paradigms is ExampleBased Machine Translation (EBMT). An EBMT system translates by analogy, using past translations to translate other, ...

We introduce a list of Arabic multiword expressions (MWE) collected from various dictionaries. The MWEs are grouped based on their syntactic type. Every constituent word in the expressions is manually annotated with its full context-sensitive morphological analysis. Some of the expressions contain semantic variables as place holders for words that play the same semantic role. In addition, we ha...

In this paper, we focus on the problem of content-based retrieval for audio, which aims to retrieve all semantically similar audio recordings for a given audio clip query. This problem is similar to the problem of query by example of audio, which aims to retrieve media samples from a database, which are similar to the user-provided example. We propose a novel approach which encodes the audio in...

We present a transition-based system that jointly predicts the syntactic structure and lexical units of a sentence by building two structures over the input words: a syntactic dependency tree and a forest of lexical units including multiword expressions (MWEs). This combined representation allows us to capture both the syntactic and semantic structure of MWEs, which in turn enables deeper downs...