1 |
How does the pre-training objective affect what large language models learn about linguistic properties? ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Automatic Identification and Classification of Bragging in Social Media ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Analyzing Online Political Advertisements ...
|
|
|
|
Abstract:
Read paper: https://www.aclanthology.org/2021.findings-acl.321 Abstract: Online political advertising is a central aspect of modern election campaigning for influencing public opinion. Computational analysis of political ads is of utmost importance in political science to understand the characteristics of digital campaigning. It is also important in computational linguistics to study features of political discourse and communication on a large scale. In this work, we present the first computational study on online political ads with the aim to (1) infer the political ideology of an ad sponsor; and (2) identify whether the sponsor is an official political party or a third-party organization. We develop two new large datasets for the two tasks consisting of ads from the U.S.. Evaluation results show that our approach that combines textual and visual information from pre-trained neural models outperforms a state-of-the-art method for generic commercial ad classification. Finally, we provide an in-depth analysis ...
|
|
URL: https://dx.doi.org/10.48448/q73b-eh05 https://underline.io/lecture/26412-analyzing-online-political-advertisements
|
|
BASE
|
|
Hide details
|
|
9 |
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Machine Extraction of Tax Laws from Legislative Texts
|
|
|
|
In: Proceedings of the Natural Legal Language Processing Workshop 2021 (2021)
|
|
BASE
|
|
Show details
|
|
17 |
Point-of-Interest Type Prediction using Text and Images ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Point-of-Interest Type Prediction using Text and Images ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|