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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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Abstract:
In this paper we present the Corpus of REcommendation STrength (CREST), a collection of HTML-formatted clinical guidelines annotated with the location of recommendations. Recommendations are labelled with an author-provided indicator of their strength of importance. As data was drawn from many disparate authors, we define a unified scheme of importance labels, and provide a mapping for each guideline. We demonstrate the utility of the corpus and its annotations in some initial measurements investigating the type of language constructions associated with strong and weak recommendations, and experiments into promising features for recommendation classification, both with respect to strong and weak labels, and to all labels of the unified scheme. An error analysis indicates that, while there is a strong relationship between lexical choices and strength labels, there can be substantial variance in the choices made by different authors.
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Keyword:
QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
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URL: https://kar.kent.ac.uk/56685/1/LREC_Read_etal.pdf https://kar.kent.ac.uk/56685/
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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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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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