Ерекшелік векторы

This paper describes the evaluation of differ- ent kinds of textual features for the Cross- Lingual Textual Entailment Task of SemEval 2013. We have counted the number of N- grams …...

In Japanese, zero references often occur and many of them are categorized into zero ex- ophora, in which a referent is not mentioned in the document. However, previous studies have …...

This paper investigates the problem of automated text aesthetics prediction. The avail- ability of user generated content and ratings, e.g. Flickr, has induced research in aesthet- ics prediction for non-text …...

AbstractDeriving the emotion of a human speaker is a hard task, especially if only the audio stream is taken into account. While state-of-the-art approaches already provide good results, adaptive methods …...

We develop an instance (token) based extension of the state of the art word (type) based part-of- speech induction system introduced in (Yatbaz et al., 2012). Each word instance is …...

AbstractInference rule discovery aims to identify entailment relations between predicates, e.g., ‘X acquire Y –> X purchase Y’ and ‘X is author of Y –> X write Y’. Traditional methods …...

In this paper, we propose a novel mecha- nism for enriching the feature vector, for the task of sarcasm detection, with cogni- tive features extracted from eye-movement patterns of human …...

This study investigates how the reliability of likelihood ratio (LR)-based forensic text comparison (FTC) systems is affected by the sampling variability regarding author numbers in databases. When 30–40 authors (each …...