Совместное появление слов

We propose a novel method to predict the inter- paragraph discourse structure of text, i.e. to infer which paragraphs are related to each other and form larger segments on a …...

We aim to improve spoken term detec- tion performance by incorporating con- textual information beyond traditional N- gram language models. Instead of taking a broad view of topic context in …...

AbstractIn this paper we present three unsupervised models for capturing discriminative attributes based on information from word embeddings, WordNet, and sentence-level word co-occurrence frequency. We show that, of these approaches, …...

AbstractWe propose a novel tensor embedding method that can effectively extract lexical features for humor recognition. Specifically, we use word-word co-occurrence to encode the contextual content of documents, and then …...

AbstractAccurate detection of emotions in user- generated text was shown to have several applications for e-commerce, public well-being, and disaster management. Currently, the state-of-the-art performance for emotion detection in text …...

AbstractMultilingual pre-trained language models, such as mBERT and XLM-R, have shown impressive cross-lingual ability. Surprisingly, both of them use multilingual masked language model (MLM) without any cross-lingual supervision or aligned …...