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CORPORATE ACTIVITIES IN SPEECH RECOGNITION AND NATURAL LANGUAGE: ANOTHER "NEW SCIENCE"-BASED TECHNOLOGY

KONSTANTINOS KOUMPIS, KEITH PAVITT
1999 International Journal of Innovation Management  
Integration between ASR and NLP has so far been weak with the two research communities functioning more or less independently, with the former progressing more rapidly than the latter.  ...  The small specialised firms depend heavily on nearby universities and public research institutes, and to some extent on nearby large firms; their relations with the large firms are complementary as well  ...  We also thank Miguel Carreira-Perpinan, Nick Fikouras and Valia Sdralia for their helpful comments.  ... 
doi:10.1142/s1363919699000177 fatcat:kd3fro3ppndmdcg2mnckosy5ga

FunGramKB term extractor: A tool for building terminological ontologies from specialised corpora [chapter]

Ángel Felices-Lago, Pedro Ureña Gómez-Moreno
2014 Studies in Language Companion Series  
This new repository should be compatible with the Core Ontology and the corresponding English Lexicon in FunGramKB (a multipurpose lexico-conceptual knowledge base for natural language processing (NLP)  ...  For the bottom-up approach (under construction), we consult specialised references end explore the corpus through the identification and extraction of term candidates with DEXTER, an online multilingual  ...  Article history Paper received: 19 February 2017 Paper received in revised form and accepted for publication: 27 April 2017 ACM 26(11), 832-843. Allen, J. F. & Ferguson, G. (1994).  ... 
doi:10.1075/slcs.150.10fel fatcat:ckfmlrgkvrb2xiq3v2sgnuievy

BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine

Olga Majewska, Charlotte Collins, Simon Baker, Jari Björne, Susan Windisch Brown, Anna Korhonen, Martha Palmer
2021 Journal of Biomedical Semantics  
To address this issue, we combine a neural classification method with expert annotation to create BioVerbNet.  ...  The costliness and time required for manual lexicon construction has been a major obstacle to porting the benefits of such resources to NLP in specialised domains, such as biomedicine.  ...  Acknowledgements Not applicable  ... 
doi:10.1186/s13326-021-00247-z pmid:34266499 pmcid:PMC8280585 fatcat:24ej77yimjdonlrzdiy4lgao6q

Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports [article]

Aleksandra Edwards, David Rogers, Jose Camacho-Collados, Hélène de Ribaupierre, Alun Preece
2021 arXiv   pre-print
Our results show the potential of deep learning models to simulate subject-expert behaviour even for complex tasks with limited labelled data.  ...  The acquisition of high volumes of labelled datasets can be expensive or unfeasible, especially for highly-specialised domains for which documents are hard to obtain.  ...  Previous work on performing NLP analysis on the safeguarding corpus emphasized the challenges of extracting knowledge from the documents using off-the-shelf text analysis tools due to the highly specialised  ... 
arXiv:2010.14584v3 fatcat:h6fenr52mnemre55i6xqauw7re

Foundational considerations for the development of the Globalcrimeterm subontology: A research project based on FunGramKB

Ángel Felices Lago
2015 Onomazein  
representations or knowledge bases, although at times different elements may be combined.  ...  The scope of application of FunGramKB is promising and concerns many relevant areas of NLP, including dialogue systems, expert agents, data mining or information retrieval, to name but a few.  ... 
doi:10.7764/onomazein.31.9 fatcat:zflqfupbirf2fkft4xcybmge5i

DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping

Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel
2020 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)  
In this paper, we provide a heterogeneous CBR framework -DeepKAF where we combine CBR paradigm with Deep Learning architectures to solve complicated Natural Language Processing (NLP) problems (eg. mixed  ...  AI offers substantial capabilities to solve new problems and optimise existing solutions specialising on specific problems and learning from different domains.  ...  Similarity measures are based on specialised domain knowledge and can identify how close cases are to each other.  ... 
doi:10.1109/inista49547.2020.9194679 dblp:conf/inista/AminKPA020 fatcat:blvkxw7t25akvl4bhq2hl2cplq

The process of constructing ontological meaning based on criminal law verbs

Ángel Felices Lago
2016 CIRCULO de linguistica aplicada a la comunicacion  
knowledge for the understanding of expert knowledge.  ...  base FunGramKB (see Functional Grammar Knowledge Base at www.fungramkb.com): an online lexical conceptual knowledge base that integrates semantic and syntactic information for the creation of NLP applications  ... 
doi:10.5209/rev_clac.2016.v65.51983 fatcat:lqbhwfb5rrbwhhwkbftyn6iylu

Blexisma2: A distributed agent framework for constructing a semantic lexical database based on conceptual vectors

Didier Schwab, Lian Tze Lim
2008 2008 First International Conference on Distributed Framework and Applications  
In the framework of meaning representation in Natural Language Processing (NLP), we aim to develop a system that can be used for heterogeneous applications such as Machine Translation, Information Retrieval  ...  In this paper, we discuss the related hypotheses that motivate the construction of a such system and how these hypotheses, together with NLP software engineering concerns, led us to conceive a distributed  ...  We thank Dr Chan Huah Yong and his great team of researchers at the Grid Computing Laboratory, Universiti Sains Malaysia, for their permission and help in using their Grid facilities.  ... 
doi:10.1109/icdfma.2008.4784421 fatcat:wz7nucjakjgjzhsl5hinlcqqsi

Agent-Oriented Language Engineering for Robust NLP [chapter]

Vincenzo Pallotta, Afzal Ballim
2001 Lecture Notes in Computer Science  
The main goal of our work is to propose an agent-oriented framework for developing robust NLP applications. This framework provides means to compose analysis modules in a co-operative style.  ...  This framework should be general enough to cope with other kinds of information sources, such as multimedia documents and with multimodal dialogue systems.  ...  Only if we are able to tell our programs how to combine them to extract the intended meaning we will succeed in design real robust NLP applications. - Planning (with capability brokering) o Generate a  ... 
doi:10.1007/3-540-45584-1_7 fatcat:57xgfqa2r5eg7kqs5qm6o6ggwy

Page 32 of Library & Information Science Abstracts Vol. , Issue 9 [page]

1991 Library & Information Science Abstracts  
It would offer the advantages of a structured system combined with those of a purely verbal system.  ...  Buffer zones allow libraries with specialised stocks to make further subdivision and notation may be lengthened.  ... 

Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation

Ivan Vulić
2018 Proceedings of The Third Workshop on Representation Learning for NLP  
In this work, we show that a careful selection of the external constraints can steer and improve the specialisation.  ...  with highest reported scores on SimLex-999 and SimVerb-3500 to date; 2) detecting antonyms; and 3) distinguishing antonyms from synonyms.  ...  The authors would like to thank the anonymous reviewers for their helpful suggestions.  ... 
doi:10.18653/v1/w18-3018 dblp:conf/rep4nlp/Vulic18 fatcat:4estw2vheba2ziqi7vinnvefma

An Orchestration Framework for Linguistic Task Ontologies [chapter]

Catherine Chavula, C. Maria Keet
2015 Communications in Computer and Information Science  
Ontologies provide knowledge representation formalism for expressing linguistic knowledge for computational tasks.  ...  Moreover, extant linguistic ontological resources ignore mechanisms for systematic modularisation to ensure semantic interoperability with task ontologies.  ...  Acknowledgements We thank Dr Langa Khumalo and Atikonda Mtenje for their input and feedback.  ... 
doi:10.1007/978-3-319-24129-6_1 fatcat:2onjxltqj5eh7akvddcqitkxcu

The Archaeo-Term Project: Multilingual Terminology in Archaeology

Giulia Speranza, Raffaele Manna, Maria Pia di Buono, Johanna Monti
2020 Italian Conference on Computational Linguistics  
Introduction Languages for Special Purposes (LSP) have their roots in the need of communicating specialised and technical knowledge within a restricted group of domain experts.  ...  In order to enhance and promote the use of a terminological common ground across different languages the Archaeo-Term multilingual Glossary is intended both for scholars, experts in the field, translators  ...  We would like to thank Michele Stefanile for his support as expert in the domain of Archaeology.  ... 
dblp:conf/clic-it/SperanzaMBM20 fatcat:reolvxpwp5g67eqw74gx4gko3i

Using Unstructured Data to Improve the Continuous Planning of Critical Processes Involving Humans

Colin Paterson, Radu Calinescu, Suresh Manandhar, Di Wang
2019 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)  
plans for the process).  ...  COPE uses a combination of runtime natural-language processing (to update a stochastic model of the target process based on unstructured data) and stochastic model synthesis (to generate Pareto-optimal  ...  We will also assess the scalability of COPE, specialise the generic architecture for additional application domains, and explore options for the assurance of COPE applications by extending the methodology  ... 
doi:10.1109/seams.2019.00013 dblp:conf/icse/PatersonCWM19 fatcat:igflc7hdcfdrdmpeys7cpuvb2i

A systematic review of natural language processing applied to radiology reports

Arlene Casey, Emma Davidson, Michael Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex
2021 BMC Medical Informatics and Decision Making  
Methods We conduct an automated literature search yielding 4836 results using automated filtering, metadata enriching steps and citation search combined with manual review.  ...  Understanding recent developments in NLP application to radiology is of significance but recent reviews on this are limited.  ...  Acknowledgements Not applicable.  ... 
doi:10.1186/s12911-021-01533-7 pmid:34082729 pmcid:PMC8176715 fatcat:izv3gdjurfejjcb4nxcfemuuim
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