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2.45k
S18.xml
Proceedings of the 12th International Workshop on Semantic Evaluation
2018
https://aclanthology.org/S18-1144
x
0
jailbreaking attacks
null
Flytxt_NTNU at SemEval-2018 Task 8: Identifying and Classifying Malware Text Using Conditional Random Fields and Naïve Bayes Classifiers
Cybersecurity risks such as malware threaten the personal safety of users, but to identify malware text is a major challenge. The paper proposes a supervised learning approach to identifying malware sentences given a document (subTask1 of SemEval 2018, Task 8), as well as to classifying malware tokens in the sentences ...
W18.xml
Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics (
2018
https://aclanthology.org/W18-0801
null
null
general safety, LLM alignment
null
On the Utility of Lay Summaries and AI Safety Disclosures: Toward Robust, Open Research Oversight
In this position paper, we propose that the community consider encouraging researchers to include two riders, a “Lay Summary” and an “AI Safety Disclosure”, as part of future NLP papers published in ACL forums that present user-facing systems. The goal is to encourage researchers–via a relatively non-intrusive mechanis...
W18.xml
Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics (
2018
https://aclanthology.org/W18-5207
null
null
others
null
Annotating Claims in the Vaccination Debate
In this paper we present annotation experiments with three different annotation schemes for the identification of argument components in texts related to the vaccination debate. Identifying claims about vaccinations made by participants in the debate is of great societal interest, as the decision to vaccinate or not ha...
W17.xml
Proceedings of the 2nd Workshop on the Use of Computational Methods in the Study of Endangered Languages
2017
https://aclanthology.org/W17-2316
null
null
others
null
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System
Social media sites (e.g., Twitter) have been used for surveillance of drug safety at the population level, but studies that focus on the effects of medications on specific sets of individuals have had to rely on other sources of data. Mining social media data for this in-formation would require the ability to distingui...
D17.xml
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
2017
https://aclanthology.org/D17-1234
null
null
others
null
Affordable On-line Dialogue Policy Learning
The key to building an evolvable dialogue system in real-world scenarios is to ensure an affordable on-line dialogue policy learning, which requires the on-line learning process to be safe, efficient and economical. But in reality, due to the scarcity of real interaction data, the dialogue system usually grows slowly. ...
D17.xml
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
2017
https://aclanthology.org/D17-1260
null
null
others
null
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning
Hand-crafted rules and reinforcement learning (RL) are two popular choices to obtain dialogue policy. The rule-based policy is often reliable within predefined scope but not self-adaptable, whereas RL is evolvable with data but often suffers from a bad initial performance. We employ a companion learning framework to in...
L16.xml
Proceedings of the Tenth International Conference on Language Resources and Evaluation (
2016
https://aclanthology.org/L16-1185
null
null
others
null
Detecting Implicit Expressions of Affect from Text using Semantic Knowledge on Common Concept Properties
Emotions are an important part of the human experience. They are responsible for the adaptation and integration in the environment, offering, most of the time together with the cognitive system, the appropriate responses to stimuli in the environment. As such, they are an important component in decision-making processe...
L12.xml
Proceedings of the Eighth International Conference on Language Resources and Evaluation (
2012
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1008_Paper.pdf
null
null
others
null
Foundations of a Multilayer Annotation Framework for Twitter Communications During Crisis Events
In times of mass emergency, vast amounts of data are generated via computer-mediated communication (CMC) that are difficult to manually collect and organize into a coherent picture. Yet valuable information is broadcast, and can provide useful insight into time- and safety-critical situations if captured and analyzed e...
L10.xml
Proceedings of the Seventh International Conference on Language Resources and Evaluation (
2010
http://www.lrec-conf.org/proceedings/lrec2010/pdf/137_Paper.pdf
null
null
others
null
Resources for Controlled Languages for Alert Messages and Protocols in the European Perspective
This paper is concerned with resources for controlled languages for alert messages and protocols in the European perspective. These resources have been produced as the outcome of a project (Alert Messages and Protocols: MESSAGE) which has been funded with the support of the European Commission - Directorate-General Jus...
2005.mtsummit.xml
Proceedings of Machine Translation Summit X: Invited papers
2005
https://aclanthology.org/2005.mtsummit-invited.4
null
null
others
null
Global Public Health Intelligence Network (GPHIN)
Accurate and timely information on global public health issues is key to being able to quickly assess and respond to emerging health risks around the world. The Public Health Agency of Canada has developed the Global Public Health Intelligence Network (GPHIN). Information from GPHIN is provided to the WHO, internationa...