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Found 4 papers, 0 papers with code
Monitoring Fact Preservation, Grammatical Consistency and Ethical Behavior of Abstractive Summarization Neural Models
The paper describes a system for automatic summarization in English language of online news data that come from different non-English languages.
The Bulgarian Event Corpus: Overview and Initial NER Experiments
It will be used for: extracting knowledge and making it available through the Bulgaria-centric Knowledge Graph; further developing an annotation scheme that handles multiple domains in SSH; training automatic modules for the most important knowledge-based tasks, such as domain-specific and nested NER, NEL, event detection and profiling.
Reconstructing NER Corpora: a Case Study on Bulgarian
The paper reports on the usage of deep learning methods for improving a Named Entity Recognition (NER) training corpus and for predicting and annotating new types in a test corpus.
Evaluation of Stacked Embeddings for Bulgarian on the Downstream Tasks POS and NERC
This paper reports on experiments with different stacks of word embeddings and evaluation of their usefulness for Bulgarian downstream tasks such as Named Entity Recognition and Classification (NERC) and Part-of-speech (POS) Tagging.
