Мәтіндік ендірулер
Related Papers
InFoBERT: Zero-Shot Approach to Natural Language Understanding Using Contextualized Word Embedding
AbstractNatural language understanding is an important task in modern dialogue systems. It becomes more important with the rapid extension of the dialogue systems’ functionality. In this work, we present an …...
Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction
AbstractOpen information extraction (OIE) is the task of extracting facts "(Subject, Relation, Object)” from natural language text. We propose several new methods for training neural OIE models in this paper. …...
DUTH at SemEval-2023 Task 9: An Ensemble Approach for Twitter Intimacy Analysis
AbstractThis work presents the approach developed by the DUTH team for participating in the SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. Our results show that pre-processing techniques do not affect …...
MTEB: Massive Text Embedding Benchmark
AbstractText embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on …...