Papers
103 papers found
Multitask Adaptation with Lattice-Free MMI for Multi-Genre Speech Recognition of Low Resource Languages
Srikanth Madikeri, Petr Motlicek, Hervé Bourlard
Toward Genre Adapted Closed Captioning
François Buet, François Yvon
CN-Celeb-AV: A Multi-Genre Audio-Visual Dataset for Person Recognition
Lantian Li, Xiaolou Li, Haoyu Jiang et al.
Multi-lingual and Cross-genre Discourse Unit Segmentation
Peter Bourgonje, Robin Schäfer
Stylometric Classification of Ancient Greek Literary Texts by Genre
Efthimios Gianitsos, Thomas Bolt, Pramit Chaudhuri et al.
Multimodal Weighted Fusion of Transformers for Movie Genre Classification
Isaac Rodríguez Bribiesca, Adrián Pastor López Monroy, Manuel Montes-y-Gómez
MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)
Simone Tedeschi, Roberto Navigli
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang et al.
FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking
Jabez Magomere, Elena Kochkina, Samuel Mensah et al.
Generation of Russian Poetry of Different Genres and Styles Using Neural Networks with Character-Level Tokenization
Ilya Koziev, Alena Fenogenova
Classifying Textual Genre in Historical Magazines (1875-1990)
Vera Danilova, Ylva Söderfeldt
A Bit of This, a Bit of That: Building a Genre and Topic Annotated Dataset of Historical Newspaper Articles with Soft Labels and Confidence Scores
Karin Stahel, Irenie How, Lauren Millar et al.
Synthetic Lyrics Detection Across Languages and Genres
Yanis Labrak, Markus Frohmann, Gabriel Meseguer-Brocal et al.
UMUTeam at SemEval-2023 Task 3: Multilingual transformer-based model for detecting the Genre, the Framing, and the Persuasion Techniques in Online News
Ronghao Pan, José Antonio García-Díaz, Miguel Ángel Rodríguez-García et al.
UM6P at SemEval-2023 Task 3: News genre classification based on transformers, graph convolution networks and number of sentences
Hamza Alami, Abdessamad Benlahbib, Abdelkader El Mahdaouy et al.
HHU at SemEval-2023 Task 3: An Adapter-based Approach for News Genre Classification
Fabian Billert, Stefan Conrad
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection Using Multilingual Models
Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi et al.
DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation
Arkadiusz Modzelewski, Witold Sosnowski, Magdalena Wilczynska et al.
Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News
Yuta Koreeda, Ken-ichi Yokote, Hiroaki Ozaki et al.
SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification
Ben Wu, Olesya Razuvayevskaya, Freddy Heppell et al.
SinaAI at SemEval-2023 Task 3: A Multilingual Transformer Language Model-based Approach for the Detection of News Genre, Framing and Persuasion Techniques
Aryan Sadeghi, Reza Alipour, Kamyar Taeb et al.