DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...42
Hits 1 – 20 of 830

1
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
BASE
Show details
2
Signed Coreference Resolution ...
BASE
Show details
3
Backtranslation in Neural Morphological Inflection ...
BASE
Show details
4
Rule-based Morphological Inflection Improves Neural Terminology Translation ...
BASE
Show details
5
Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
BASE
Show details
6
A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ...
BASE
Show details
7
Automatic Error Type Annotation for Arabic ...
BASE
Show details
8
Developing Conversational Data and Detection of Conversational Humor in Telugu ...
BASE
Show details
9
Cross-document Event Identity via Dense Annotation ...
BASE
Show details
10
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.485/ Abstract: Irrespective of the success of the deep learning- based mixed-domain transfer learning approach for solving various Natural Language Processing tasks, it does not lend a generalizable solution for detecting misinformation from COVID-19 social media data. Due to the inherent complexity of this type of data, caused by its dynamic (context evolves rapidly), nuanced (misinformation types are often ambiguous), and diverse (skewed, fine-grained, and overlapping categories) nature, it is imperative for an effective model to capture both the local and global context of the target domain. By conducting a systematic investigation, we show that: (i) the deep Transformer- based pre-trained models, utilized via the mixed-domain transfer learning, are only good at capturing the local context, thus exhibits poor generalization, and (ii) a combination of shallow network-based domain-specific models and convolutional neural networks can efficiently ...
Keyword: Computational Linguistics; Covid-19; Deep Learning; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/yyza-sr36
https://underline.io/lecture/37959-navigating-the-kaleidoscope-of-covid-19-misinformation-using-deep-learning
BASE
Hide details
11
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys ...
BASE
Show details
12
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ...
BASE
Show details
13
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
BASE
Show details
14
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
BASE
Show details
15
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
BASE
Show details
16
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
BASE
Show details
17
Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
BASE
Show details
18
Detecting Gender Bias using Explainability ...
BASE
Show details
19
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
BASE
Show details
20
Blindness to Modality Helps Entailment Graph Mining ...
BASE
Show details

Page: 1 2 3 4 5...42

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
830
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern