24 citations · 46 across the 7 of their papers we have counts for
7 papers
A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity Understanding
Dilara Torunoğlu-Selamet, Dogukan Arslan, Rodrigo Wilkens +75
Potentially idiomatic expressions (PIEs) construe meanings inherently tied to the everyday experience of a given language community. As such, they constitute an interesting challen…
CLASSLA-Express: a Train of CLARIN.SI Workshops on Language Resources and Tools with Easily Expanding Route
Nikola Ljubešić, Taja Kuzman, Ivana Filipović Petrović +2
This paper introduces the CLASSLA-Express workshop series as an innovative approach to disseminating linguistic resources and infrastructure provided by the CLASSLA Knowledge Centr…
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark
Momchil Hardalov, Pepa Atanasova, Todor Mihaylov +7
We present bgGLUE(Bulgarian General Language Understanding Evaluation), a benchmark for evaluating language models on Natural Language Understanding (NLU) tasks in Bulgarian. Our b…
Multi-aspect Multilingual and Cross-lingual Parliamentary Speech Analysis
Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova +2
Parliamentary and legislative debate transcripts provide informative insight into elected politicians' opinions, positions, and policy preferences. They are interesting for politic…
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields
Georgi Georgiev, Preslav Nakov, Kuzman Ganchev +2
The paper presents a feature-rich approach to the automatic recognition and categorization of named entities (persons, organizations, locations, and miscellaneous) in news text for…
Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian
Georgi Georgiev, Valentin Zhikov, Petya Osenova +2
We present experiments with part-of-speech tagging for Bulgarian, a Slavic language with rich inflectional and derivational morphology. Unlike most previous work, which has used a…
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition
Lilia Simeonova, Kiril Simov, Petya Osenova +1
We propose a morphologically informed model for named entity recognition, which is based on LSTM-CRF architecture and combines word embeddings, Bi-LSTM character embeddings, part-o…