A primer on contrastive pretraining in language processing: Methods, lessons learned, and perspectives
N Rethmeier, I Augenstein - ACM Computing Surveys, 2023 - dl.acm.org
Modern natural language processing (NLP) methods employ self-supervised pretraining
objectives such as masked language modeling to boost the performance of various …
objectives such as masked language modeling to boost the performance of various …
A survey on stance detection for mis-and disinformation identification
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
important role in systems for detecting false information online, be it misinformation …
[HTML][HTML] A survey on political viewpoints identification
Political viewpoints identification (PVI) is a task in Natural Language Processing that takes
political texts and recognizes the writer's opinions towards a political matter. PVI reduces the …
political texts and recognizes the writer's opinions towards a political matter. PVI reduces the …
Cross-domain label-adaptive stance detection
Stance detection concerns the classification of a writer's viewpoint towards a target. There
are different task variants, eg, stance of a tweet vs. a full article, or stance with respect to a …
are different task variants, eg, stance of a tweet vs. a full article, or stance with respect to a …
Few-shot stance detection via target-aware prompt distillation
Y Jiang, J Gao, H Shen, X Cheng - … of the 45th International ACM SIGIR …, 2022 - dl.acm.org
Stance detection aims to identify whether the author of a text is in favor of, against, or neutral
to a given target. The main challenge of this task comes two-fold: few-shot learning resulting …
to a given target. The main challenge of this task comes two-fold: few-shot learning resulting …
Prompt-and-align: prompt-based social alignment for few-shot fake news detection
Despite considerable advances in automated fake news detection, due to the timely nature
of news, it remains a critical open question how to effectively predict the veracity of news …
of news, it remains a critical open question how to effectively predict the veracity of news …
Exploiting sentiment and common sense for zero-shot stance detection
The stance detection task aims to classify the stance toward given documents and topics.
Since the topics can be implicit in documents and unseen in training data for zero-shot …
Since the topics can be implicit in documents and unseen in training data for zero-shot …
Improved multi-label classification under temporal concept drift: Rethinking group-robust algorithms in a label-wise setting
I Chalkidis, A Søgaard - arXiv preprint arXiv:2203.07856, 2022 - arxiv.org
In document classification for, eg, legal and biomedical text, we often deal with hundreds of
classes, including very infrequent ones, as well as temporal concept drift caused by the …
classes, including very infrequent ones, as well as temporal concept drift caused by the …
Explainable cross-topic stance detection for search results
One way to help users navigate debated topics online is to apply stance detection in web
search. Automatically identifying whether search results are against, neutral, or in favor …
search. Automatically identifying whether search results are against, neutral, or in favor …
Knowledge-enhanced prompt-tuning for stance detection
Investigating public attitudes on social media is important in opinion mining systems. Stance
detection aims to analyze the attitude of an opinionated text (eg, favor, neutral, or against) …
detection aims to analyze the attitude of an opinionated text (eg, favor, neutral, or against) …