Human-in-the-loop for data collection: a multi-target counter narrative dataset to fight online hate speech
Undermining the impact of hateful content with informed and non-aggressive responses,
called counter narratives, has emerged as a possible solution for having healthier online …
called counter narratives, has emerged as a possible solution for having healthier online …
Generating counter narratives against online hate speech: Data and strategies
Recently research has started focusing on avoiding undesired effects that come with content
moderation, such as censorship and overblocking, when dealing with hatred online. The …
moderation, such as censorship and overblocking, when dealing with hatred online. The …
Aya dataset: An open-access collection for multilingual instruction tuning
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many
recent achievements in the space of natural language processing (NLP) can be attributed to …
recent achievements in the space of natural language processing (NLP) can be attributed to …
Human-machine collaboration approaches to build a dialogue dataset for hate speech countering
Fighting online hate speech is a challenge that is usually addressed using Natural
Language Processing via automatic detection and removal of hate content. Besides this …
Language Processing via automatic detection and removal of hate content. Besides this …
[PDF][PDF] Exploiting objective annotations for minimising translation post-editing effort
L Specia - Proceedings of the 15th Annual conference of the …, 2011 - aclanthology.org
With the noticeable improvement in the overall quality of Machine Translation (MT) systems
in recent years, post-editing of MT output is starting to become a common practice among …
in recent years, post-editing of MT output is starting to become a common practice among …
Identifying the machine translation error types with the greatest impact on post-editing effort
Translation Environment Tools make translators' work easier by providing them with term
lists, translation memories and machine translation output. Ideally, such tools automatically …
lists, translation memories and machine translation output. Ideally, such tools automatically …
[PDF][PDF] Comparing human perceptions of post-editing effort with post-editing operations
M Koponen - Proceedings of the seventh workshop on statistical …, 2012 - aclanthology.org
Post-editing performed by translators is an increasingly common use of machine translated
texts. While high quality MT may increase productivity, post-editing poor translations can be …
texts. While high quality MT may increase productivity, post-editing poor translations can be …
Towards explainable evaluation metrics for machine translation
Unlike classical lexical overlap metrics such as BLEU, most current evaluation metrics for
machine translation (for example, COMET or BERTScore) are based on black-box large …
machine translation (for example, COMET or BERTScore) are based on black-box large …
Measuring user productivity in machine translation enhanced computer assisted translation
This paper addresses the problem of reliably measuring productivity gains by professional
translators working with a machine translation enhanced computer assisted translation tool …
translators working with a machine translation enhanced computer assisted translation tool …
Transformers go for the LOLs: Generating (humourous) titles from scientific abstracts end-to-end
We consider the end-to-end abstract-to-title generation problem, exploring seven recent
transformer based models (including ChatGPT) fine-tuned on more than 30k abstract-title …
transformer based models (including ChatGPT) fine-tuned on more than 30k abstract-title …