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Methodological Considerations Concerning Manual Annotation Of Musical Audio In Function Of Algorithm Development

Micheline Lesaffre, Marc Leman, Bernard De Baets, Jean-Pierre Martens
2004 Zenodo  
Acknowledgements This research has been conducted at IPEM, Department of musicology at Ghent University in the framework of the MAMI project for audio recognition.  ...  We are grateful for the financial support given by The Flemish Institute for the Promotion of Scientific and Technical Research in Industry.  ...  It involves multiple manual annotation of a music database incorporating linguistic-symbolic and sub-symbolic descriptions. Figure 1 . 1 Figure 1. General framework for annotation of musical audio.  ... 
doi:10.5281/zenodo.1414873 fatcat:r5f66d6ogvfmpme4x5r2toyrti

Atomic: An Annotation Platform To Meet The Demands Of Current And Future Research

Stephan Druskat, Volker Gast
2015 Zenodo  
This poster presents Atomic, a multi-level annotation tool for linguistic data. In the past, a number of annotation tools – like Synpathy , RSTTool, and MMAX2 – have been developed in linguistics.  ...  The combination of a generic data model and a pluggable architecture, therefore, allows Atomic to outlive its original development context, as new editors and other tooling may always be added to support  ...  for use cases not envisioned by its original creators ➔ Genericity allows for use of the tool for annotation types beyond its original scope, as well as across linguistic theories ➔ Compatibility secures  ... 
doi:10.5281/zenodo.18249 fatcat:k6eao4w6bbaz7dplqcj7xtmqhu

Refining Implicit Argument Annotation for UCCA [article]

Ruixiang Cui, Daniel Hershcovich
2021 arXiv   pre-print
The proposed implicit argument categorisation is driven by theories of implicit role interpretation and consists of six types: Deictic, Generic, Genre-based, Type-identifiable, Non-specific, and Iterated-set  ...  The fact that some arguments are not explicitly mentioned in a sentence gives rise to ambiguity in language understanding, and renders it difficult for machines to interpret text correctly.  ...  Acknowledgements We would like to thank the anonymous reviewers, Omri Abend and Dotan Dvir for their helpful feedback.  ... 
arXiv:2005.12889v4 fatcat:2wry45dbpbda3otqgb2oxpxv6a

Serialising the ISO SynAF Syntactic Object Model [article]

Laurent Romary, Amir Zeldes, Florian Zipser
2014 arXiv   pre-print
Finally a case study of the German Treebank TueBa-D/Z is presented, showcasing the handling of constituent structures, topological fields and coreference annotation in tandem.  ...  Based on widespread best practices we adapt a popular XML format for syntactic annotation, TigerXML, with additional features to support a variety of syntactic phenomena including constituent and dependency  ...  made in the 1990s in order to meet the needs of specific corpus annotation schemes, and some of its general features are now out-of-date (e.g. use of the deprecated @idref attribute and the lack of modern  ... 
arXiv:1108.0631v3 fatcat:5nftqtrwqrhotjluood4uy7lcu

: serialising the ISO SynAF syntactic object model

Laurent Romary, Amir Zeldes, Florian Zipser
2014 Language Resources and Evaluation  
Finally a case study of the German Treebank TueBa-D/Z is presented, showcasing the handling of constituent structures, topological fields and coreference annotation in tandem.  ...  Based on widespread best practices we adapt a popular XML format for syntactic annotation, TigerXML, with additional features to support a variety of syntactic phenomena including constituent and dependency  ...  made in the 1990s in order to meet the needs of specific corpus annotation schemes, and some of its general features are now out-of-date (e.g. use of the deprecated @idref attribute and the lack of modern  ... 
doi:10.1007/s10579-014-9288-x fatcat:cfak2utnmvc5venxy3pqnro3pe

Knowledge-based Framework for Intelligent Emotion Recognition in Spontaneous Speech

Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu
2016 Procedia Computer Science  
The proposed framework makes use of the contexts (derived from linguistic contents) and the knowledge regarding the time lapse of the spoken utterances in the context of an audio call to reliably recognize  ...  In this paper, we propose a novel spontaneous speech emotion recognition framework that makes use of the available knowledge.  ...  It validates the usefulness of the inclusion of linguistic context-based knowledge (namely, t k ).  ... 
doi:10.1016/j.procs.2016.08.239 fatcat:kn5ceqo2ezeq5i2fmgmildefey

Developing annotation solutions for online Data Driven Learning

Pascual Pérez-Paredes, Jose M. Alcaraz-Calero
2009 ReCALL  
Although annotation is a widely-researched topic in Corpus Linguistics (CL), its potential role in Data Driven Learning (DDL) has not been addressed in depth by Foreign Language Teaching (FLT) practitioners  ...  First, we discuss the role of annotation in DDL and the dominating paradigm in general corpus applications.  ...  This feature makes the application sufficiently generic to claim that it can potentially be used in a wide range of disciplines and fields, from corpus linguistics to forensic analysis of speech.  ... 
doi:10.1017/s0958344009000093 fatcat:5uoiawabhrc4vpsyawf44bhp2i

Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation [article]

Xiaoguang Chang, Teng Wang, Changyin Sun, Wenzhe Cai
2022 arXiv   pre-print
To enhance the model capability, inspired by the "cognitive bias" mechanism, we propose a novel 3-paradigms framework that simulates how humans incorporate the label linguistic features as guidance of  ...  Scene graph generation is a sophisticated task because there is no specific recognition pattern (e.g., "looking at" and "near" have no conspicuous difference concerning vision, whereas "near" could occur  ...  However, the counting approach is hard to mimic real word distribution because of low-quality annotations in datasets.  ... 
arXiv:2203.09160v1 fatcat:iq6om7fye5cjfoemj6zuqsnima

Ontology-based linguistic annotation

Philipp Cimiano, Siegfried Handschuh
2003 Proceedings of the ACL 2003 workshop on Linguistic annotation getting the model right -  
Furthermore, we present CREAM, a semantic annotation framework, as well as its concrete implementation OntoMat and show how they can be used for the purpose of linguistic annotation.  ...  We demonstrate the value of our framework by applying it to the annotation of anaphoric relations in written texts.  ...  However, with an apropriate ontology one can also take advantage of the framework and use it for linguistic annotation.  ... 
doi:10.3115/1119296.1119299 dblp:conf/acl/CimianoH03 fatcat:xrztnpeuebhafo5275zu5ad77e

Measuring the importance of context when modeling language comprehension

Justin Garten, Brendan Kennedy, Kenji Sagae, Morteza Dehghani
2019 Behavior Research Methods  
It is widely accepted that language requires context in order to function as communication between speakers and listeners.  ...  But even if there is consensus that these sources of information are a necessary component of linguistic communication, it is another matter entirely to provide a thorough, quantitative accounting for  ...  and the contextual items to be used, then we will be able to make specific claims about when context matters, how its effect translates across domains and language understanding tasks, and what kinds of  ... 
doi:10.3758/s13428-019-01200-w fatcat:uu7aqxr36rh4xd7xwmvoiaqx6e

Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools [chapter]

David Campos, Sergio Matos, Jose Luis
2012 Theory and Applications for Advanced Text Mining  
Acknowledgements This work received funding from FEDER through the COMPETE programme and from Fundação para a Ciência e a Tecnologia FCT under grant agreement FCOMP---FED-ER-. S.  ...  In the end, each sentence should provide a specific local, logical and meaningful context for future tasks.  ...  "s expected, a model trained on GENET"G provides annotations not focused on any specific biomedical domain, which may be recommended for general real life applications.  ... 
doi:10.5772/51066 fatcat:yjvzpbiod5b4dejpqufsuvplsy

Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements [article]

Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White
2019 arXiv   pre-print
We present a novel semantic framework for modeling linguistic expressions of generalization---generic, habitual, and episodic statements---as combinations of simple, real-valued referential properties  ...  We use this framework to construct a dataset covering the entirety of the Universal Dependencies English Web Treebank.  ...  Acknowledgments We thank Scott Grimm and the FACTS.lab at the University of Rochester for useful comments on framework and protocol design.  ... 
arXiv:1901.11429v2 fatcat:bjs7pftpebggdnu7tv2bjplwyi

Adversarial Evaluation for Models of Natural Language [article]

Noah A. Smith
2012 arXiv   pre-print
We now have a rich and growing set of modeling tools and algorithms for inducing linguistic structure from text that is less than fully annotated.  ...  We present a new abstract framework for evaluating natural language processing (NLP) models in general and unsupervised NLP models in particular.  ...  in NLP but used to evaluate an unsupervised NLP model has been necessarily limited in how much data annotators could annotate and how many iterations they could make over the data, it seems that using  ... 
arXiv:1207.0245v2 fatcat:hdy6odnd3zadfkqypkponacmeq

Recent Advances and Challenges in Task-oriented Dialog System [article]

Zheng Zhang, Ryuichi Takanobu, Qi Zhu, Minlie Huang, Xiaoyan Zhu
2020 arXiv   pre-print
Besides, we review the recent progresses in dialog evaluation and some widely-used corpora.  ...  We believe that this survey, though incomplete, can shed a light on future research in task-oriented dialog systems.  ...  However, it is often difficult to obtain a large-scale annotated corpus in a specific domain since (1) collecting a domain-specific corpus is more difficult than in the open-domain setting due to its task-specific  ... 
arXiv:2003.07490v3 fatcat:powcuixxargkbp57kpwmjict3y

Predicate Logic Based Image Grammars for Complex Pattern Recognition

Vinay Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh, Jan Neumann, Larry Davis
2010 International Journal of Computer Vision  
Additionally, as with any logic based approach, it is straightforward to generate proofs or justifications permitting direct analysis of the final solution in a linguistic form.  ...  Constraints in acquiring sufficient annotated data for learning make it challenging for purely data driven approaches to adequately generalize.  ...  Additionally, as with any logic based approach, it is straightforward to generate proofs or justifications permitting direct analysis of the final solution in a linguistic form.  ... 
doi:10.1007/s11263-010-0343-9 fatcat:drposb7llzampag5jnkqgslqjm
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