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Frame-Semantic Parsing     Frame-Semantic  linguistics       2015/9/14
Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes l...
Discovering classes of attitude verbs using subcategorization frame distributions.
This functional magnetic resonance imaging (fMRI) study investigates a crucial parameter in spatial description, namely variants in the frame of reference chosen. Two frames of reference are available...
Recent advances in lexical semantic research have shown that finer distinctions in event structure are needed in characterizing verbal semantics (cf. Levin et al 1997). For example, the category ‘stat...
In many nations, the 21st century has been about women in politics. Not only are they running for prominent political offices, but they are winning them. The trend toward success for American female p...
A deep cognition with translators’ cultural frame of functionist reference can help instructors and teachers adjust and extend patterns and schemes of translation and generate the optimal classroom co...
From its beginning, film set forth a new scene for ethical and moral engagement. For more than a century, film’s frame and image have opened fresh space for enacting ethical and moral conflicts and di...
In inter-frame coding of H.264/AVC standard, not only seven inter-partition modes but also intra-modes are taken into account for seeking the best coding mode so as to maintain higher encoding efficie...
Coverage during conflicts with threatening potential put a pressing note on accurate information about and interpretation of events. When delivering news worldwide, national spotlights as well as cros...
As the title of the book Semantic Leaps: frame-shifting and conceptual blending in meaning construction suggests, the author uses the two concepts: frame-shifting and conceptual blending, to underst...
In this paper, we propose a novel and efficient search algorithm for the Continuous Speech Recognition (CSR). The proposed algorithm is on the basis of the traditional Frame Synchronous Search (FSS) a...
In this paper we present a novel method to incorporate temporal correlation into a speech recognition system based on conventional hidden Markov model (HMM). In our new model the probability of the cu...
In this paper we present a novel method to incorporate temporal correlation into a speech recognition system based on HMM. An obvious way to incorporate temporal correlation is to condition the probab...

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