Бәсекеге қабілетті өнімділік

This work, concerning paraphrase identifica- tion task, on one hand contributes to expand- ing deep learning embeddings to include con- tinuous and discontinuous linguistic phrases. On the other hand, it …...

AbstractVery recently, some studies on neural dependency parsers have shown advantage over the traditional ones on a wide variety of languages. However, for graph-based neural dependency parsing systems, they either …...

AbstractIn this paper, we describe our proposal for the task of Semantic Extraction from Cybersecurity Reports. The goal is to explore if natural language processing methods can provide relevant and …...

We propose the first multi-task learning model for joint Vietnamese word segmentation, part- of-speech (POS) tagging and dependency parsing. In particular, our model extends the BIST graph-based dependency parser (Kiper- …...

AbstractA meme is a pictorial representation of an idea or theme. In the age of emerging volume of social media platforms, memes are spreading rapidly from person to person and …...

AbstractOne of the biggest bottlenecks in building accurate, high coverage neural open IE systems is the need for large labelled corpora. The diversity of open domain corpora and the variety …...

AbstractRecognizing lexical relationships between words is one of the formidable tasks in computational linguistics. It plays a vital role in the improvement of various NLP tasks. However, the diversity of …...

AbstractHuman values identification from a set of argument is becoming a prominent area of research in argument mining. Among some options, values convey what may be the most desirable and …...