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Found 21 papers, 0 papers with code
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset
One of the processing tasks for large multimodal data streams is automatic image description (image classification, object segmentation and classification).
Multilingual Image Corpus: Annotation Protocol
The Multilingual Image Corpus consists of an ontology of visual objects (based on WordNet) and a collection of thematically related images annotated with segmentation masks and object classes.
Curated Multilingual Language Resources for CEF AT (CURLICAT): overall view
The work in progress on the CEF Action CURLICA T is presented.
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources
This article presents the current outcomes of the CURLICAT CEF Telecom project, which aims to collect and deeply annotate a set of large corpora from selected domains.
Automatic Prediction of Morphosemantic Relations
This paper presents a machine learning method for automatic identification and classification of morphosemantic relations (MSRs) between verb and noun synset pairs in the Bulgarian WordNet (BulNet).
Ontology Supported Frame Classification
We present BulFrame – a web-based system designed for creating, editing, validating and viewing conceptual frames.
Mapping WordNet Concepts with CPA Ontology
The paper discusses the enrichment of WordNet data through merging of WordNet concepts and Corpus Pattern Analysis (CPA) semantic types.
Categorisation of Bulgarian Legislative Documents
The evaluation shows slight overweight of the basic method, which makes it appropriate as the categorisation should be a module of a NLP Pipeline for Bulgarian that is continuously feeding and annotating the Bulgarian MARCELL corpus with newly issued legislative documents.
Ontology of Visual Objects
The definition of relations between dominant and attribute classes and formulations of axioms based on the properties of the relations offers a reliable means for automatic object or image classification and description.
Image Models for large-scale Object Detection and Classification
The development of an image dataset of object segmentation was accelerated by machine learning for automatic generation of objects’ boundaries and classes.
Natural Language Processing Pipeline to Annotate Bulgarian Legislative Documents
The paper presents the Bulgarian MARCELL corpus, part of a recently developed multilingual corpus representing the national legislation in seven European countries and the NLP pipeline that turns the web crawled data into structured, linguistically annotated dataset.
The MARCELL Legislative Corpus
This article presents the current outcomes of the MARCELL CEF Telecom project aiming to collect and deeply annotate a large comparable corpus of legal documents.
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality.
The Strategic Impact of META-NET on the Regional, National and International Level
This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and the situation of funding for LT topics.
Bulgarian X-language Parallel Corpus
The paper presents the methodology and the outcome of the compilation and the processing of the Bulgarian X-language Parallel Corpus (Bul-X-Cor) which was integrated as part of the Bulgarian National Corpus (BulNC).
