Different strategies to learn user semantic queries from dissimilarity representations of video audio-visual content are presented. When dealing with large corpora of videos documents, using a feature representation requires the online computation of distances between all documents and a query. Hence, a dissimilarity representation may be preferred because its offline computation speeds up the ...

We study the task of automatically disambiguating word combinations such as jump the gun which are ambiguous between a literal and MWE interpretation, focusing on the utility of type-level features from an MWE lexicon for the disambiguation task. To this end we combine gold-standard idiomaticity of tokens in the OpenMWE corpus with MWE-type-level information drawn from the recently-published JD...

Robust programming lies at the heart of the type of coding called “secure programming”. Yet it is rarely taught in academia. More commonly, the focus is on how to avoid creating well-known vulnerabilities. While important, that misses the point: a well-structured, robust program should anticipate where problems might arise and compensate for them. This paper discusses one view of robust program...

In [6] a general notion of perfect Bayesian equilibrium (PBE) for extensive-form games was introduced and shown to be intermediate between subgame-perfect equilibrium and sequential equilibrium. Besides sequential rationality, the ingredients of the proposed notion are (1) the existence of a plausibility order on the set of histories that rationalizes the given assessment and (2) the notion of ...

This paper examines video retrieval based on Query-By-Example (QBE) approach, where shots relevant to a query are retrieved from large-scale video data based on their similarity to example shots. This involves two crucial problems: The first is that similarity in features does not necessarily imply similarity in semantic content. The second problem is an expensive computational cost to compute ...

emerged as one of the most versatile, computationally simple and accurate approaches for machine translation in comparison to rule based machine translation (RBMT) and statistical based machine translation (SBMT). In this paper, a comparative view of EBMT and RBMT is presented on the basis of some specific features. This paper describes the various research efforts on Example based machine tran...

Multi Sentence Compression (MSC) is of great value to many real world applications, such as guided microblog summarization, opinion summarization and newswire summarization. Recently, word graph-based approaches have been proposed and become popular in MSC. Their key assumption is that redundancy among a set of related sentences provides a reliable way to generate informative and grammatical se...

We describe an Example-Based Machine Translation (EBMT) system and the adaptations and enhancementsmade to create a ChineseEnglish translation system from the Hong Kong legal code and various other bilingual resources available from the Linguistic Data Consortium (LDC).

In this paper, we investigate various strategies to predict both syntactic dependency parsing and contiguous multiword expression (MWE) recognition, testing them on the dependency version of French Treebank (Abeillé and Barrier, 2004), as instantiated in the SPMRL Shared Task (Seddah et al., 2013). Our work focuses on using an alternative representation of syntactically regular MWEs, which capt...

There has been work on database systems that can retrieve multimedia objects by their content. We are extending this work by using the World Wide Web as source and storage for multimedia objects much like current text search engines do for textual information. A system that can access all types of multimedia objects by their content is a formidable task and improvements are constantly being mad...