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Found 35 papers, 9 papers with code
ParlaMint II: The Show Must Go On
In ParlaMint I, a CLARIN-ERIC supported project in pandemic times, a set of comparable and uniformly annotated multilingual corpora for 17 national parliaments were developed and released in 2021.
ParlaSpeech-HR - a Freely Available ASR Dataset for Croatian Bootstrapped from the ParlaMint Corpus
This paper presents our bootstrapping efforts of producing the first large freely available Croatian automatic speech recognition (ASR) dataset, 1, 816 hours in size, obtained from parliamentary transcripts and recordings from the ParlaMint corpus.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
The LiLaH Emotion Lexicon of Croatian, Dutch and Slovene
We further showcase the usage of the lexicons by calculating the difference in emotion distributions in texts containing and not containing socially unacceptable discourse, comparing them across four languages (English, Croatian, Dutch, Slovene) and two topics (migrants and LGBT).
A Report on the VarDial Evaluation Campaign 2020
This paper presents the results of the VarDial Evaluation Campaign 2020 organized as part of the seventh workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with COLING 2020.
HeLju@VarDial 2020: Social Media Variety Geolocation with BERT Models
This paper describes the Helsinki-Ljubljana contribution to the VarDial shared task on social media variety geolocation.
Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization
This paper describes the HEL-LJU submissions to the MultiLexNorm shared task on multilingual lexical normalization.
MultiLexNorm: A Shared Task on Multilingual Lexical Normalization
This task is beneficial for downstream analysis, as it provides a way to harmonize (often spontaneous) linguistic variation.
Cultural Topic Modelling over Novel Wikipedia Corpora for South-Slavic Languages
There is a shortage of high-quality corpora for South-Slavic languages.
BERTić - The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian
In this paper we describe a transformer model pre-trained on 8 billion tokens of crawled text from the Croatian, Bosnian, Serbian and Montenegrin web domains.
Extending the SSJ Universal Dependencies Treebank for Slovenian: Was It Worth It?
The process was based on the initial revision and documentation of the language-specific UD annotation guidelines for Slovenian and the corresponding modification of the original SSJ annotations, followed by a two-stage annotation campaign, in which two new subsets have been added, the previously unreleased sentences from the ssj500k corpus and the Slovenian subset of the ELEXIS parallel corpus.
Findings of the VarDial Evaluation Campaign 2021
This paper describes the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2021.
Social Media Variety Geolocation with geoBERT
This paper describes the Helsinki–Ljubljana contribution to the VarDial 2021 shared task on social media variety geolocation.
Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection
In this paper, we describe experiments designed to evaluate the impact of stylometric and emotion-based features on hate speech detection: the task of classifying textual content into hate or non-hate speech classes.
MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages
We introduce the project “MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages”, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages.
CLASSLA-Express: a Train of CLARIN.SI Workshops on Language Resources and Tools with Easily Expanding Route
This paper introduces the CLASSLA-Express workshop series as an innovative approach to disseminating linguistic resources and infrastructure provided by the CLASSLA Knowledge Centre for South Slavic languages and the Slovenian CLARIN. SI infrastructure.
LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification
To address this challenge, we propose a teacher-student framework based on large language models (LLMs) for developing multilingual news classification models of reasonable size with no need for manual data annotation.
The ParlaSpeech Collection of Automatically Generated Speech and Text Datasets from Parliamentary Proceedings
In this paper, we present our approach to building large and open speech-and-text-aligned datasets of less-resourced languages based on transcripts of parliamentary proceedings and their recordings.
Multilingual Power and Ideology Identification in the Parliament: a Reference Dataset and Simple Baselines
We introduce a dataset on political orientation and power position identification.
Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining
The world of language models is going through turbulent times, better and ever larger models are coming out at an unprecedented speed.
CLASSLA-web: Comparable Web Corpora of South Slavic Languages Enriched with Linguistic and Genre Annotation
This paper presents a collection of highly comparable web corpora of Slovenian, Croatian, Bosnian, Montenegrin, Serbian, Macedonian, and Bulgarian, covering thereby the whole spectrum of official languages in the South Slavic language space.
Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages
Large, curated, web-crawled corpora play a vital role in training language models (LMs).
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages.
Ranked #1 on
Named Entity Recognition (NER)
on UNER v1 (Danish)
The ParlaSent Multilingual Training Dataset for Sentiment Identification in Parliamentary Proceedings
The paper presents a new training dataset of sentences in 7 languages, manually annotated for sentiment, which are used in a series of experiments focused on training a robust sentiment identifier for parliamentary proceedings.
CLASSLA-Stanza: The Next Step for Linguistic Processing of South Slavic Languages
We present CLASSLA-Stanza, a pipeline for automatic linguistic annotation of the South Slavic languages, which is based on the Stanza natural language processing pipeline.
Findings of the VarDial Evaluation Campaign 2023
This report presents the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2023.
ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification
Results show that ChatGPT outperforms the fine-tuned model when applied to the dataset which was not seen before by either of the models.
Geographic Adaptation of Pretrained Language Models
While pretrained language models (PLMs) have been shown to possess a plethora of linguistic knowledge, the existing body of research has largely neglected extralinguistic knowledge, which is generally difficult to obtain by pretraining on text alone.
The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild
This paper presents a new training dataset for automatic genre identification GINCO, which is based on 1, 125 crawled Slovenian web documents that consist of 650 thousand words.
BERTić -- The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian
In this paper we describe a transformer model pre-trained on 8 billion tokens of crawled text from the Croatian, Bosnian, Serbian and Montenegrin web domains.
Findings of the 2020 Conference on Machine Translation (WMT20)
In the news task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting mainly of news stories.
CoSimLex: A Resource for Evaluating Graded Word Similarity in Context
State of the art natural language processing tools are built on context-dependent word embeddings, but no direct method for evaluating these representations currently exists.
The FRENK Datasets of Socially Unacceptable Discourse in Slovene and English
In this paper we present datasets of Facebook comment threads to mainstream media posts in Slovene and English developed inside the Slovene national project FRENK which cover two topics, migrants and LGBT, and are manually annotated for different types of socially unacceptable discourse (SUD).
KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning
This paper presents a dataset and supervised learning experiments for term extraction from Slovene academic texts.
Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
We show that the notions of concreteness and imageability are highly predictable both within and across languages, with a moderate loss of up to 20% in correlation when predicting across languages.
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction
Gender prediction has typically focused on lexical and social network features, yielding good performance, but making systems highly language-, topic-, and platform-dependent.
