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APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text ...
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Ionov, Maxim. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain
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In: Information ; Volume 12 ; Issue 11 (2021)
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An Ontology for CoNLL-RDF: Formal Data Structures for TSV Formats in Language Technology ...
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An Application of Declarative Languages in Distributed Architectures: ASP and DALI Microservices
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RuBQ: A Russian Dataset for Question Answering over Wikidata
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In: Lect. Notes Comput. Sci. ; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020)
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The Semantic Web3D: Towards comprehensive representation of 3D content on the Semantic Web
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In: Research outputs 2014 to 2021 (2019)
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A Simple and Effective biLSTM Approach to Aspect-Based Sentiment Analysis in Social Media Customer Feedback
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In: Clematide, Simon (2018). A Simple and Effective biLSTM Approach to Aspect-Based Sentiment Analysis in Social Media Customer Feedback. In: Barbaresi, Adrien; Biber, Hanno; Neubarth, Friedrich; Osswald, Rainer. 14th Conference on Natural Language Processing - KONVENS 2018. Vienna: Verlag der Österreichischen Akademie der Wissenschaften, 29-33. (2018)
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Exploring the Impact of Artificial Intelligence on the Accounting Profession
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In: Publications (2017)
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Unsupervised, knowledge-free, and interpretable word sense disambiguation
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In: EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings (2017)
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A Corpus of Clinical Practice Guidelines Annotated with the Importance of Recommendations
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Web-based tools and resources for legal translators: the JudGENTT translation-oriented glossaries for criminal courts translators
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Web-based tools and resources for legal translators: the JudGENTT translation-oriented glossaries for criminal courts translators
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In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0718-5758, Nº. 33, 2016, pags. 226-250 (2016)
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Evolving Connectionist Systems for Adaptive Learning and Knowledge Discovery: Trends and Directions
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A Term Association Inference Model for Single Documents: A Stepping Stone for Investigation through Information Extraction
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A Term Association Inference Model for Single Documents: A Stepping Stone for Investigation through Information Extraction
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Learning Task Knowledge from Dialog and Web Access
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In: Robotics ; Volume 4 ; Issue 2 ; Pages 223-252 (2015)
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Automated Extension of Narrative Planning Domains with Antonymic Operators
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Abstract:
AI Planning has been widely used for narrative generation and the control of virtual actors in interactive storytelling. Planning models for such dynamic environments must include alternative actions which enable deviation away from a baseline storyline in order to generate multiple story variants and to be able to respond to changes that might be made to the story world. However, the actual creation of these domain models has been a largely empirical process with a lack of principled approaches to the definition of alternative actions. Our work has addressed this problem and in the paper we present a novel automated method for the generation of interactive narrative domain models from existing non-interactive versions. Central to this is the use of actions that are contrary to those forming the baseline plot within a principled mechanism for their semi-automatic production. It is important that such newly created domain content should still be human-readable and to this end labels for new actions and predicates are generated automatically using antonyms selected from a range of on-line lexical resources. Our approach is fully implemented in a prototype system and its potential demonstrated via both formal experimental evalu- ation and user evaluation of the generated action labels.
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Keyword:
QA76.575 Multimedia systems; QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
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URL: https://kar.kent.ac.uk/55513/1/Porteous_AAMAS_2015.pdf https://kar.kent.ac.uk/55513/ http://www.ifaamas.org/Proceedings/aamas2015/aamas/p1547.pdf
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IMMERSE: Interactive Mentoring for Multimodal Experiences in Realistic Social Encounters
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In: DTIC (2015)
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Document Image Parsing and Understanding using Neuromorphic Architecture
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In: DTIC (2015)
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Learning to Understand Natural Language with Less Human Effort
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In: DTIC (2015)
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