Когнитивті ерекшеліктер

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 …...

Sentiments expressed in user-generated short text and sentences are nuanced by subtleties at lexical, syntactic, semantic and pragmatic levels. To address this, we propose to augment traditional features used for …...

For simultaneous interpretation, it is very important to identify appropriate segmentation boundaries so that the source text can be translated accurately and promptly. This paper proposes four different segmentation methods …...

AbstractAutomatic detection of cognates helps downstream NLP tasks of Machine Translation, Cross-lingual Information Retrieval, Computational Phylogenetics and Cross-lingual Named Entity Recognition. Previous approaches for the task of cognate detection use …...

AbstractWe study the problem of integrating cognitive language processing signals (e.g., eye-tracking or EEG data) into pre-trained language models like BERT. Existing methods typically fine-tune pre-trained models on cognitive data, …...