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Found 6 papers, 0 papers with code
Exploring Linguistically-Lightweight Keyword Extraction Techniques for Indexing News Articles in a Multilingual Set-up
This paper presents a study of state-of-the-art unsupervised and linguistically unsophisticated keyword extraction algorithms, based on statistic-, graph-, and embedding-based approaches, including, i. a., Total Keyword Frequency, TF-IDF, RAKE, KPMiner, YAKE, KeyBERT, and variants of TextRank-based keyword extraction algorithms.
Recovering Text from Endangered Languages Corrupted PDF documents
In this paper we present an approach to efficiently recover texts from corrupted documents of endangered languages.
Team TMA at SemEval-2022 Task 8: Lightweight and Language-Agnostic News Similarity Classifier
We present our contribution to the SemEval 22 Share Task 8: Multilingual news article similarity.
Fine-grained Event Classification in News-like Text Snippets - Shared Task 2, CASE 2021
This paper describes the Shared Task on Fine-grained Event Classification in News-like Text Snippets.
Discovering Black Lives Matter Events in the United States: Shared Task 3, CASE 2021
Evaluating the state-of-the-art event detection systems on determining spatio-temporal distribution of the events on the ground is performed unfrequently.
Resources and Experiments on Sentiment Classification for Georgian
The results of various experiments on the performance of both lexicon- and machine learning-based models for Georgian sentiment classification are also reported.
