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Consistent Validation of Manual and Automatic Sense Annotations with the Aid of Semantic Graphs

Roberto Navigli
2006 Computational Linguistics  
In this article, we introduce Valido, a visual tool for the validation of manual and automatic sense annotations.  ...  The task of annotating texts with senses from a computational lexicon is widely recognized to be complex and often subjective.  ...  In this article, we present Valido, a tool for supporting the validation of both manual and automatic sense annotations through the use of semantic graphs, particularly of semantic interconnection patterns  ... 
doi:10.1162/coli.2006.32.2.273 fatcat:vefyzqlqhna2zfrebgmafid564

Valido

Roberto Navigli
2006 Proceedings of the COLING/ACL on Interactive presentation sessions -  
The validator can analyse the semantic graphs resulting from each sense choice and decide which sense is more coherent with respect to the structure of the adopted lexicon.  ...  We describe the interface and report an evaluation of the tool in the validation of manual sense annotations.  ...  Acknowledgments This work is partially funded by the Interop NoE (508011), 6 th European Union FP.  ... 
doi:10.3115/1225403.1225407 dblp:conf/acl/Navigli06a fatcat:3xqwt7u5abf3rmp4f4yy7bnywe

A structural approach to the automatic adjudication of word sense disagreements

ROBERTO NAVIGLI
2008 Natural Language Engineering  
The semantic annotation of texts with senses from a computational lexicon is a complex and often subjective task.  ...  We perform a twofold experimental evaluation of the approach applied to manual annotations from the SemCor corpus, and automatic annotations from the Senseval-3 English all-words competition.  ...  We wish to thank Francesco Maria Tucci, Giuliana and Maria Luisa Pesaresi, and Orin Hargraves for their invaluable support.  ... 
doi:10.1017/s1351324908004749 fatcat:x2awksfwhvb3rgqfkuminyxiju

Knowledge-based interaction in software development

Dimitris Panagiotou, Fotis Paraskevopoulos, Gregoris Mentzas
2011 International Journal of Intelligent Decision Technologies  
Building a knowledge base with software artefacts by using the KnowBench system can then be exploited by semantic search engines or P2P metadata infrastructures in order to foster the dissemination of  ...  However, current software development environments are "syntactic", i.e. they do not facilitate understanding the semantics of software artefacts and hence cannot fully support the knowledge-driven activities  ...  -Zooming in/out the whole graph. Manual semantic annotation of source code An important aspect of the KnowBench is the ability to annotate semantically source code.  ... 
doi:10.3233/idt-2011-0104 fatcat:frfakjbg4rcjhnc5h7xzsq7jha

Scalable Semantic Annotation of Text Using Lexical and Web Resources [chapter]

Elias Zavitsanos, George Tsatsaronis, Iraklis Varlamis, Georgios Paliouras
2010 Lecture Notes in Computer Science  
In this paper we are dealing with the task of adding domainspecific semantic tags to a document, based solely on the domain ontology and generic lexical and Web resources.  ...  The method comprises a novel combination of measures of semantic relatedness and word sense disambiguation techniques, in order to identify the most related ontology concepts for the document.  ...  The proposed method consists of a novel combination of measures of semantic relatedness and word sense disambiguation techniques, in order to identify the most related ontology concepts for a given document  ... 
doi:10.1007/978-3-642-12842-4_32 fatcat:psidkkvpe5dapm35ocp5cefnpm

Towards a universal wordnet by learning from combined evidence

Gerard de Melo, Gerhard Weikum
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
We propose a methodology for the automatic construction of a large-scale multilingual lexical database where words of many languages are hierarchically organized in terms of their meanings and their semantic  ...  Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous applications in areas like NLP, IR, and AI.  ...  The input graph G0 does not cover any of the validation arcs, and thus has a recall and F1-score of 0%.  ... 
doi:10.1145/1645953.1646020 dblp:conf/cikm/MeloW09 fatcat:wnvulr5lbjhlnlmfatn57nsacm

Weakly Supervised Word Sense Disambiguation Using Automatically Labelled Collections

Angelina Sergeevna Bolshina, Natalia Valentinovna Loukachevitch
2021 Proceedings of the Institute for System Programming of RAS  
To cope with the knowledge acquisition bottleneck in Russian, we first utilized the method based on the concept of monosemous relatives to automatically generate a labelled training collection.  ...  State-of-the-art supervised word sense disambiguation models require large sense-tagged training sets. However, many low-resource languages, including Russian, lack such a large amount of data.  ...  This research has been supported by the Interdisciplinary Scientific and Educational School of Lomonosov Moscow State University "Brain, Cognitive Systems, Artificial Intelligence".  ... 
doi:10.15514/ispras-2021-33(6)-13 fatcat:dlrlnm5jafdfhmg6bfsihl3qaa

Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text [article]

Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey, Ramamurthy S, Bhavna Naneria Singh
2022 arXiv   pre-print
We hope that the knowledge graph that we have created through manual annotation and subsequent curation will help in development and testing of NLP tools in future as well as studying of the Bhavaprakasanighantu  ...  Thus, in this work, we describe our efforts on manual annotation of Sanskrit text for the purpose of knowledge graph (KG) creation.  ...  Acknowledgements We thank Anil Kumar Gourishetty from IIT Roorkee for his help in connecting us with Sanskrit volunteers.  ... 
arXiv:2202.00216v1 fatcat:w7xx5g3a45eppmvkf6s25fzeoa

Collaboratively built semi-structured content and Artificial Intelligence: The story so far

Eduard Hovy, Roberto Navigli, Simone Paolo Ponzetto
2013 Artificial Intelligence  
Special thanks go to Jim McManus and all reviewers who contributed valuable feedback and ensured the papers contained in this special issue were of the highest quality.  ...  Finally, we thank the Artificial Intelligence Journal Editors-in-Chief, Tony Cohn, Rina Dechter and Ray Perrault, for their continued support throughout the preparation of this special issue.  ...  Thus, Mihalcea was able to automatically create sense-annotated data on the basis of a manual mapping: these data were then provided as input to a machine learning WSD system for predicting the senses  ... 
doi:10.1016/j.artint.2012.10.002 fatcat:mwk5o254urb2dejsh7c224uu3q

Unified Partial Configuration Model Framework for Fast Partially Occluded Object Detection in High-Resolution Remote Sensing Images

Shaohua Qiu, Gongjian Wen, Jia Liu, Zhipeng Deng, Yaxiang Fan
2018 Remote Sensing  
Recent partial configuration model (PCM) based methods deal with occlusion yet suffer from the problems of massive manual annotation, separate parameter learning, and low training and detection efficiency  ...  The work in this paper is inspired from the problems in PCM and AFI-PCM, which tries to integrate the entire PCM model with a novel part sharing mechanism for both fast and automatic model training and  ...  The semantic parts are defined manually and semantically, along with the skeleton graph of the category.  ... 
doi:10.3390/rs10030464 fatcat:pazbef3munhpdhcca7t4gpbboy

Automatic extraction of paraphrastic phrases from small-size corpora

Thierry Poibeau, Dominique Dutoit
2009 Lingvisticæ investigationes  
This knowledge is semi-automatically derived from the text collection, in interaction with a large semantic network.  ...  In order to decrease the time spent on the elaboration of resources for NLP system (for example for Information Extraction), we suggest to use a knowledge acquisition module that helps extracting new information  ...  The process is made of automatic steps and manual validation stages. The process is weakly supervised since the analyst only has to provide one example to the system.  ... 
doi:10.1075/li.32.1.04poi fatcat:xhjxxbozjze5plvrz6yxvsmzxi

Labeling and Retrieval of Emotionally-Annotated Images using WordNet [article]

Marko Horvat, Anton Grbin, Gordan Gledec
2014 arXiv   pre-print
Repositories of images with semantic and emotion content descriptions are valuable tools in many areas such as Affective Computing and Human-Computer Interaction, but they are also important in the development  ...  Ever growing number of image documents available on the Internet continuously motivates research of better annotation models and more efficient retrieval methods which use mash-up of available data on  ...  Acknowledgements Engineering and Computing. The WNtags tool can be accessed by contacting the first author of the paper.  ... 
arXiv:1304.0954v2 fatcat:pfd5zi7ssjhulhikbqvzjclnk4

Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions

Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde
2021 ISPRS International Journal of Geo-Information  
To minimize the semantic gap for remote-sensing-scene understanding, the framework puts forward the transformation of scenes by using semantic-web technologies to Remote Sensing Scene Knowledge Graphs  ...  The knowledge-graph representation of scenes has been formalized through the development of a Remote Sensing Scene Ontology(RSSO)—a core ontology for an inclusive remote-sensing-scene data product.  ...  Acknowledgments: The authors are grateful to the Google Cloud Research Credits Program for providing the credits that enabled the use of GCP for training and validating the deep-learning models.  ... 
doi:10.3390/ijgi10010032 fatcat:warifoopejaqfglljmkbatjrke

Ontological Semantic Annotation of an English Corpus Thorough Condition Random Fields

Guidson Coelho de Andrade, Alcione de Paiva Oliveira, Alexandra Moreira
2019 Information  
Considering that annotation is an arduous task that demands time and specialized personnel to perform it, much is done on ways to implement the semantic annotation automatically.  ...  In this sense, this article aims to present an automatic approach to enrich documents from the American English corpus through a CRF model for semantic annotation of ontologies from Schema.org top-level  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info10050171 fatcat:jbbytuqnf5gfzat73nzqquqlzm

Surfing the Service Web [chapter]

Sudhir Agarwal, Siegfried Handschuh, Steffen Staab
2003 Lecture Notes in Computer Science  
. support for semi-automatic composition and invocation of web services that have semantically heterogeneous descriptions.  ...  In this paper we present an approach that combines the strength of the World Wide Web, viz. interlinked HTML pages for presentation and human consumption, with the strength of semantic web services, viz  ...  A part of this work was funded by the SemIPort project of the federal ministry of education and research (BMBF).  ... 
doi:10.1007/978-3-540-39718-2_14 fatcat:z7vhqbymzzhgvdsmg63obwgbji
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