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Found 23 papers, 2 papers with code
Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages
Seven teams covered all six languages, and five teams participated in the cross-lingual entity linking task.
Czech Dataset for Cross-lingual Subjectivity Classification
Our prime motivation is to provide a reliable dataset that can be used with the existing English dataset as a benchmark to test the ability of pre-trained multilingual models to transfer knowledge between Czech and English and vice versa.
Ranked #1 on
Subjectivity Analysis
on Czech Subjectivity Dataset
Are the Multilingual Models Better? Improving Czech Sentiment with Transformers
Our experiments show that the huge multilingual models can overcome the performance of the monolingual models.
Machine Learning Approach to Fact-Checking in West Slavic Languages
Fake news detection and closely-related fact-checking have recently attracted a lot of attention.
The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages
The task is recognizing mentions of named entities in Web documents, their normalization, and cross-lingual linking.
UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions
We show the word distribution in the corpus has potential for detecting discriminative attributes.
Ranked #4 on
Relation Extraction
on SemEval 2018 Task 10
Pyramid-based Summary Evaluation Using Abstract Meaning Representation
We propose a novel metric for evaluating summary content coverage.
Cross-lingual Flames Detection in News Discussions
We introduce Flames Detector, an online system for measuring flames, i. e. strong negative feelings or emotions, insults or other verbal offences, in news commentaries across five languages.
MultiLing 2017 Overview
In this brief report we present an overview of the MultiLing 2017 effort and workshop, as implemented within EACL 2017.
The First Cross-Lingual Challenge on Recognition, Normalization, and Matching of Named Entities in Slavic Languages
The reported evaluation figures reflect the relatively higher level of complexity of named entity-related tasks in the context of processing texts in Slavic languages.
Stance detection in online discussions
This paper describes our system created to detect stance in online discussions.
The OnForumS corpus from the Shared Task on Online Forum Summarisation at MultiLing 2015
In this paper we present the OnForumS corpus developed for the shared task of the same name on Online Forum Summarisation (OnForumS at MultiLing{'}15).
