Learning word categories is a fundamental task in language acquisition. Previous studies show that co-occurrence patterns of preceding and following words are essential to group words into categories. However, the neighboring words, or frames, are rarely repeated exactly in the data. This creates data sparsity and hampers learning for frame based models. In this work, we propose a paradigmatic ...

We study effects of additive white noise on the cepstral representation of speech signals. Distribution of each individual cepstrum coefficient of speech is shown to depend strongly on noise and to overlap significantly with the cepstrum distribution of noise. Based on these studies, we suggest a scalar quantity, V, equal to the sum of weighted cepstral coefficients, which is able to classify f...

Much recent work in computational linguistics emphasizes the role of lexical information in syntactic representation and processing. In this paper, I propose to represent syntax as an abstraction of subcategorization frames, from a word-speciic level to a general, abstract level (syntactic categories). The representation is linguistically perspicuous, and useful for processing. I deene a parsin...

Key frames play an important role in video annotation. It is one of the widely used methods for video abstraction as this will help us for processing a large set of video data with sufficient content representation in faster way. In this paper a novel approach for key-frame extraction using entropy value is proposed. The proposed approach classifies frames based on entropy values as global feat...

We show how principles of separation of Coordination from Computation can be used to endow the Problem Frames approach to problem analysis with representation schemes. These representation schemes facilitate the way evolution of requirements or of the application domain can be reflected in the decomposition structure, making it easier to change.

This paper contributes a formalization of frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a frame-semantic representation. It finds words that evoke FrameNet frames, selects frames for them, and locates the arguments for each frame. The system uses two featurebased, discriminative probabilistic (log-linear) mo...

In recent years, with the amount of video data increasing rapidly, automatic methods are needed to deal with large-scale video data sets in various applications. A common and fundamental preprocess for these applications is video segmentation. Based on the segmentation results, video has a hierarchical representation structure of frames, shots, and scenes from the low level to high level. And f...

This paper attempts to bridge the gap between FrameNet frames and inference. We describe a computational formalism that captures structural relationships among participants in a dynamic scenario. This representation is used to describe the internal structure of FrameNet frames in terms of parameters for event simulations. We apply our formalism to the commerce domain and show how it provides a ...

In this paper, we introduce the concept of $g$-dual frames for Hilbert $C^{*}$-modules, and then the properties and stability results of $g$-dual frames  are given.  A characterization of $g$-dual frames, approximately dual frames and dual frames of a given frame is established. We also give some examples to show that the characterization of $g$-dual frames for Riesz bases in Hilbert spaces is ...

A theory of frames that extend Gabor analysis by including chirping is discussed. The chirping parameter in thesètime-frequency localization frames' depends on time and/or frequency shift parameters that can be adapted to analyze and detect chirps in noisy signals. Radar/sonar applications are outlined. The frame theory is motivated by a generalized notion of square-integrable group representat...