Search Results for author:
Found 11 papers, 7 papers with code
Cross-Domain Robustness of Transformer-based Keyphrase Generation
In our experiments, abstractive text summarization models fine-tuned for keyphrase generation show quite high results for a target text corpus.
tmn at #SMM4H 2023: Comparing Text Preprocessing Techniques for Detecting Tweets Self-reporting a COVID-19 Diagnosis
The paper describes a system developed for Task 1 at SMM4H 2023.
tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection using XLM-T, Google Translate, and Ensemble Learning
Our solution ranked 4th on the leaderboard while achieving an overall Pearson's r of 0. 599 over the test set.
Detecting Generated Scientific Papers using an Ensemble of Transformer Models
The paper describes neural models developed for the DAGPap22 shared task hosted at the Third Workshop on Scholarly Document Processing.
Applying Transformer-based Text Summarization for Keyphrase Generation
In this paper, we experiment with popular transformer-based models for abstractive text summarization using four benchmark datasets for keyphrase extraction.
Fine-tuning of Pre-trained Transformers for Hate, Offensive, and Profane Content Detection in English and Marathi
Our team called neuro-utmn-thales participated in two tasks on binary and fine-grained classification of English tweets that contain hate, offensive, and profane content (English Subtasks A & B) and one task on identification of problematic content in Marathi (Marathi Subtask A).
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection
This paper describes our system for SemEval-2021 Task 5 on Toxic Spans Detection.
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
In this paper, we present our results at the Constraint@AAAI2021 Shared Task: COVID-19 Fake News Detection in English.
A Comparative Study of Feature Types for Age-Based Text Classification
The ability to automatically determine the age audience of a novel provides many opportunities for the development of information retrieval tools.
UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection
The article describes a fast solution to propaganda detection at SemEval-2020 Task 11, based onfeature adjustment.
A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification
In the paper, the authors compared the basic SMOTE method with its two modifications (Borderline SMOTE and ADASYN) and random oversampling technique on the example of one of text classification tasks.
