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Found 23 papers, 5 papers with code
LeaningTower@LT-EDI-ACL2022: When Hope and Hate Collide
Task Hope Speech Detection required models for the automatic identification of hopeful comments for equality, diversity, and inclusion.
Misogyny and Aggressiveness Tend to Come Together and Together We Address Them
We target the complementary binary tasks of identifying whether a tweet is misogynous and, if that is the case, whether it is also aggressive.
UniBO at SemEval-2022 Task 5: A Multimodal bi-Transformer Approach to the Binary and Fine-grained Identification of Misogyny in Memes
We present our submission to SemEval 2022 Task 5 on Multimedia Automatic Misogyny Identification.
A Checkpoint on Multilingual Misogyny Identification
We address the problem of identifying misogyny in tweets in mono and multilingual settings in three languages: English, Italian, and Spanish.
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
Disambiguating the meaning of such terms might help the detection of misogyny.
A Corpus for Sentence-level Subjectivity Detection on English News Articles
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues.
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims
We present an overview of the second edition of the CheckThat!
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
We describe the fourth edition of the CheckThat!
Automated Fact-Checking for Assisting Human Fact-Checkers
The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism.
Prta: A System to Support the Analysis of Propaganda Techniques in the News
However, little attention has been paid to the specific rhetorical and psychological techniques used to convey propaganda messages.
Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction
Our best metric for domainness shows a strong correlation with the human-judged precision, representing a reasonable automatic alternative to assess the quality of domain-specific corpora.
A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates
In the context of investigative journalism, we address the problem of automatically identifying which claims in a given document are most worthy and should be prioritized for fact-checking.
Proppy: A System to Unmask Propaganda in Online News
We present proppy, the first publicly available real-world, real-time propaganda detection system for online news, which aims at raising awareness, thus potentially limiting the impact of propaganda and helping fight disinformation.
Global Thread-Level Inference for Comment Classification in Community Question Answering
Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly consult the opinion of a number of people on a particular topic, thus taking advantage of the wisdom of the crowd.
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection
FLC is a fragment-level task that asks for the identification of propagandist text fragments in a news article and also for the prediction of the specific propaganda technique used in each such fragment (18-way classification task).
Fine-Grained Analysis of Propaganda in News Articles
Propaganda aims at influencing people's mindset with the purpose of advancing a specific agenda.
Tanbih: Get To Know What You Are Reading
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story.
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction
We propose a multi-task deep-learning approach for estimating the check-worthiness of claims in political debates.
Automatic Fact-Checking Using Context and Discourse Information
We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information.
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection
In this paper, we describe our submission to SemEval-2019 Task 4 on Hyperpartisan News Detection.
Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus
Arabic is a widely-spoken language with a long and rich history, but existing corpora and language technology focus mostly on modern Arabic and its varieties.
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification
First, we systematically study the NMT context vectors, i. e. output of the encoder, and their power as an interlingua representation of a sentence.
Addressing Community Question Answering in English and Arabic
In the case of the Arabic question re-ranking task, for the first time we applied tree kernels on syntactic trees of Arabic sentences.
