negative-maker affixes are those linguistic elements that are widely used in word making. the function and the type of each of these affixes are unique and different from others. the russian affix ??-, for example, in its combination with pronouns and adverbs, makes non-referential sentences that use the infinitive form of the verb, while the affix ??- in its combination with pronouns and adver...

The semantic Web will bring meaning to the Internet, making it possible for web agents to understand the information it contains. However, current trends seem to suggest that it is not likely to be adopted in the forthcoming years. In this sense, meaningful information extraction from the web becomes a handicap for web agents. In this article, we present a framework for automatic extraction of ...

The main goal of this paper is to explore the predictive power of dialogue context on Dialogue Act classification, both as concerns the linear context provided by previous dialogue acts, and the hierarchical context specified by conversational games. As our learning approach, we extend Latent Semantic Analysis (LSA) as Feature LSA (FLSA), and combine FLSA with the k-Nearest Neighbor algorithm. ...

We present a novel application of the chunking parser for data-driven semantic interpretation of spoken route directions into route graphs that are useful for robot navigation. Various sets of features and machine learning algorithms were explored. The results indicate that our approach is robust to speech recognition errors, and could be easily used in other languages using simple features.

Real-world scenes contain low-level visual features (e.g., edges, colors) and high-level semantic features (e.g., objects and places). Traditional visual perception models assume that integration of low-level visual features and segmentation of the scene must occur before high-level semantics are perceived. This view implies that low-level visual features of a scene alone do not carry semantic ...

In this paper we present an extension of a machine learning based coreference resolution system which uses features induced from different semantic knowledge sources. These features represent knowledge mined from WordNet and Wikipedia, as well as information about semantic role labels. We show that semantic features indeed improve the performance on different referring expression types such as ...

Many psychologically interesting tasks (e.g., reading, lexical decision, semantic categorisation and synonym judgement) require the manipulation of semantic representations. To produce a good computational model of these tasks, it is important to represent semantic information in a realistic manner. This paper aimed to find a method for generating artificial semantic codes, which would be suita...

Commercials (ads) identification and measure their statistics from a video stream is an essential requirement. The duration of a commercial and the timing on which the commercial runs on TV cost differently to the ads owner. Automatic systems that measure these statistics will facilitate the ad owner. This research presents a system that segment semantic videos and identify commercials automati...

The semantic Web will bring meaning to the Internet, making it possible for web agents to understand the information it contains. However, current trends seem to suggest that the semantic web is not likely to be adopted in the forthcoming years. In this sense, meaningful information extraction from the web becomes a handicap for web agents. In this article, we present a framework for automatic ...

A central topic of discussion in the exploration of semantic disturbance in Alzheimer's disease (AD) concerns the relative contribution of semantic content (e.g., semantic features) and semantic process. Studies have suggested that semantic dysfunction in AD is the result of deficits to either semantic process, semantic content or both. Studies that have supported the loss of semantic content h...