Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleAugust 2024
HindiPersonalityNet: Personality Detection in Hindi Conversational Data Using Deep Learning with Static Embedding
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 8Article No.: 117, Pages 1–13https://doi.org/10.1145/3625228Personality detection along with other behavioral and cognitive assessment can essentially explain why people act the way they do and can be useful to various online applications such as recommender systems, job screening, matchmaking, and counseling. ...
- research-articleJuly 2024
Understanding User Preferences of Voice Assistant Answer Structures for Personal Health Data Queries
CUI '24: Proceedings of the 6th ACM Conference on Conversational User InterfacesArticle No.: 17, Pages 1–15https://doi.org/10.1145/3640794.3665552Voice assistants (VAs) are becoming ubiquitous within daily life, residing in homes, personal smart-devices, vehicles, and many other technologies. Designed for seamless natural language interaction, VAs empower users to ask questions and execute tasks ...
- research-articleMay 2024
BDI Agents in Natural Language Environments
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent SystemsPages 880–888Developing autonomous agents to deal with real-world problems is challenging, especially when developers are not necessarily specialists in artificial intelligence. This poses two key challenges regarding the interface of the programming with the ...
- research-articleMarch 2024
Network bullying detection based on deep learning
Journal of Computational Methods in Sciences and Engineering (JOCMSE), Volume 24, Issue 1Pages 183–192https://doi.org/10.3233/JCM-237088The rise of social networking in today’s society has brought convenience to people’s lives, but at the same time people are also suffering from cyberbullying. How to check these bullying languages has become a popular problem. As text is an important ...
- research-articleMarch 2024
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language
CSAI '23: Proceedings of the 2023 7th International Conference on Computer Science and Artificial IntelligencePages 46–52https://doi.org/10.1145/3638584.3638661Reinforcement learning is a powerful technique for learning from trial and error, but it often requires a large number of interactions to achieve good performance. In some domains, such as sparse-reward tasks, an oracle that can provide useful feedback ...
-
- research-articleJanuary 2024
Classification of Non-functional Requirements Using Convolutional Neural Networks
Programming and Computing Software (KLU-PACS), Volume 49, Issue 8Pages 705–711https://doi.org/10.1134/S0361768823080133AbstractThe requirements phase is the core of software development, if it is not carried out correctly it can cause its failure. To combat this problem, analysts have used requirements engineering (ER, for its acronym in English), which is characterized ...
- research-articleOctober 2023
Frame-Level Event Representation Learning for Semantic-Level Generation and Editing of Avatar Motion
ICMI '23: Proceedings of the 25th International Conference on Multimodal InteractionPages 292–300https://doi.org/10.1145/3577190.3614175Understanding an avatar’s motion and controlling its content is important for content creation and has been actively studied in computer vision and graphics. An avatar’s motion consists of frames representing poses each time, and a subsequence of frames ...
- extended-abstractSeptember 2023
Towards Efficient Interaction for Personal Health Data Queries on Smartwatches
MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer InteractionArticle No.: 18, Pages 1–7https://doi.org/10.1145/3565066.3608700The smartwatch is rapidly becoming a go-to personal health tracking device, allowing for the collection of a broad range of personal health data. Yet, access to this data is often limited to discrete glanceable visualizations. This in part is due to a ...
- research-articleOctober 2023
SelectNLTest - Selection and natural language rewriting of test cases generated by the DRL-MOBTEST tool
SAST '23: Proceedings of the 8th Brazilian Symposium on Systematic and Automated Software TestingPages 77–85https://doi.org/10.1145/3624032.3624043The software testing process is important to ensure quality, especially in mobile applications that have characteristics such as platform diversity, hardware limitations, portability, frequent updates, among others. Software companies need to deliver ...
- short-paperSeptember 2023
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
RecSys '23: Proceedings of the 17th ACM Conference on Recommender SystemsPages 890–896https://doi.org/10.1145/3604915.3608845Traditional recommender systems leverage users’ item preference history to recommend novel content that users may like. However, modern dialog interfaces that allow users to express language-based preferences offer a fundamentally different modality for ...
- research-articleSeptember 2023
Generalisable Dialogue-based Approach for Active Learning of Activities of Daily Living
ACM Transactions on Interactive Intelligent Systems (TIIS), Volume 13, Issue 3Article No.: 18, Pages 1–37https://doi.org/10.1145/3616017While Human Activity Recognition systems may benefit from Active Learning by allowing users to self-annotate their Activities of Daily Living (ADLs), many proposed methods for collecting such annotations are for short-term data collection campaigns for ...
- extended-abstractJuly 2023
Generative AI Considered Harmful
CUI '23: Proceedings of the 5th International Conference on Conversational User InterfacesArticle No.: 7, Pages 1–5https://doi.org/10.1145/3571884.3603756The recent months have seen an explosion of interest, hype, and concern about generative AI, driven by the release of ChatGPT. In this article I seek to explicate some potential and actual harms of the engineering and use of generative AI such as ...
- research-articleSeptember 2023
Improving Translation of Case Descriptions into Logical Fact Formulas using LegalCaseNER
ICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and LawPages 462–466https://doi.org/10.1145/3594536.3595141The automated translation of natural language text into structured logical representations is a critical task in various applications, including legal reasoning and decision-making. This paper presents a Name Entity Recognition (NER) based approach for ...
- short-paperJune 2023
Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language
SIGMOD '23: Companion of the 2023 International Conference on Management of DataPages 139–142https://doi.org/10.1145/3555041.3589694The NaturalMiner system seeks to extract facts from large relational data sets that match abstract patterns defined in natural language. For instance, this enables users to search, with regards to a specific airline, for evidence that "the airline ...
- research-articleMay 2023
Personality Detection using Kernel-based Ensemble Model for Leveraging Social Psychology in Online Networks
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 22, Issue 5Article No.: 151, Pages 1–20https://doi.org/10.1145/3571584The Asian social networking market dominates the world landscape with the highest consumer penetration rate. Businesses and investors often look for winning strategies to attract consumers to increase revenues from sales, advertisements, and other ...
- short-paperApril 2023
China’s First Natural Language-based AI ChatBot Trader
WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023Pages 1253–1256https://doi.org/10.1145/3543873.3587633Repo (repurchase agreement) trading provides easy access to short-term financing secured by a pledge of collateral and plays an important role in the global financial system. However, repo traders face many tough challenges in their job, from managing ...
- research-articleApril 2023
Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect
WWW '23: Proceedings of the ACM Web Conference 2023Pages 2677–2685https://doi.org/10.1145/3543507.3583350The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use of social media, individuals often express and share lived experiences and ...
- research-articleApril 2023Best Paper
DataParticles: Block-based and Language-oriented Authoring of Animated Unit Visualizations
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsArticle No.: 808, Pages 1–15https://doi.org/10.1145/3544548.3581472Unit visualizations have been widely used in data storytelling within interactive articles and videos. However, authoring data stories that contain animated unit visualizations is challenging due to the tedious, time-consuming process of switching back ...
- research-articleJanuary 2023
A systems engineering approach for Baxter Assistant: programming platform to facilitate the configuration of CoBots through natural language
- Juan C. Tejada,
- Alejandro Toro-Ossaba,
- Juan Berruecos,
- Santiago Rúa,
- Daniel Sanin-Villa,
- Alexandro López-González
International Journal of Computer Applications in Technology (IJCAT), Volume 72, Issue 2Pages 85–95https://doi.org/10.1504/ijcat.2023.133038Collaborative robots (cobot) are a great solution for companies that must automate processes without modifying the production line, however, these robots lose flexibility in the application when they need to be located in another point of the production ...
- research-articleNovember 2022
Should We Translate? Evaluating Toxicity in Online Comments when Translating from Portuguese to English
WebMedia '22: Proceedings of the Brazilian Symposium on Multimedia and the WebPages 89–98https://doi.org/10.1145/3539637.3556892Social media and online discussion platforms suffer from the prevalence of uncivil behavior, such as harassment and abuse, seeking to curb toxic comments. There are several approaches to classifying toxic comments automatically. Some of them have more ...