We present a machine learning approach for classifying sentences as one-liner jokes or normal sentences. We use no deep analysis of the meaning to try to see if it is humorous, instead we rely on a combination of simple features to see if these are enough to detect humor. Features such as word overlap with other jokes, presence of words common in jokes, ambiguity and word overlap with common id...

in this research we seek to recognize the status of marketing information systems and its weaknesses in medium and large size food industries. we abandoned all organization diagnosis models and conducted mcleod and rogers model as one of the most popular models in similar researches. since marketing affairs is more important and sensible in food industry than others, the research was done in th...

Architectural research is increasingly driven by application needs in different domains. Research and development efforts must systematically identify the prominent properties, especially the amount of inherent parallelism and memory access/structural patterns for a wide range of emerging applications. One such application domain is recognition. Machine vision, object/scene understanding, and n...

This paper describes NTT DATA’s recognizing textual entailment(RTE) systems for NTCIR10 RITE2. We participate in four Japanese tasks, BC Subtask, Unit Test, Exam BC and Exam Search[5]. Our approach uses a ratio with the same semantic relations between words. It is necessary to recognize two semantic viewpoints, which are the semantic relation and the meaning between words in a sentence, in orde...

Emotion recognition from facial and non-facial stimuli was investigated in two post-encephalitic patients a few months after the onset of the disease. One patient who had a lesion relatively restricted to the amygdala and hippocampus experienced difficulty in recognizing fear from facial expressions. In contrast, the other patient who had a lesion that extended beyond the amygdala experienced d...