1,409 research outputs found
Towards Scope Detection in Textual Requirements
Full text linkHolter OM, Ell B. Towards Scope Detection in Textual Requirements. Presented at the LDK 2021 – 3rd Conference on Language, Data and Knowledge, Zaragoza, Spain.Requirements are an integral part of industry operation and projects. Not only do requirements dictate industrial operations, but they are used in legally binding contracts between supplier and purchaser. Some companies even have requirements as their core business. Most requirements are found in textual documents, this brings a couple of challenges such as ambiguity, scalability, maintenance, and finding relevant and related requirements. Having the requirements in a machine-readable format would be a solution to these challenges, however, existing requirements need to be transformed into machine-readable requirements using NLP technology. Using state-of-the-art NLP methods based on end-to-end neural modelling on such documents is not trivial because the language is technical and domain-specific and training data is not available. In this paper, we focus on one step in that direction, namely scope detection of textual requirements using weak supervision and a simple classifier based on BERT general domain word embeddings and show that using openly available data, it is possible to get promising results on domain-specific requirements documents
Bridging the Gap Between Ontology and Lexicon via Class-Specific Association Rules Mined from a Loosely-Parallel Text-Data Corpus
Full text linkThere is a well-known lexical gap between content expressed in the form of natural language (NL) texts and content stored in an RDF knowledge base (KB). For tasks such as Information Extraction (IE), this gap needs to be bridged from NL to KB, so that facts extracted from text can be represented in RDF and can then be added to an RDF KB. For tasks such as Natural Language Generation, this gap needs to be bridged from KB to NL, so that facts stored in an RDF KB can be verbalized and read by humans. In this paper we propose LexExMachina, a new methodology that induces correspondences between lexical elements and KB elements by mining class-specific association rules. As an example of such an association rule, consider the rule that predicts that if the text about a person contains the token "Greek", then this person has the relation nationality to the entity Greece. Another rule predicts that if the text about a settlement contains the token "Greek", then this settlement has the relation country to the entity Greece. Such a rule can help in question answering, as it maps an adjective to the relevant KB terms, and it can help in information extraction from text. We propose and empirically investigate a set of 20 types of class-specific association rules together with different interestingness measures to rank them. We apply our method on a loosely-parallel text-data corpus that consists of data from DBpedia and texts from Wikipedia, and evaluate and provide empirical evidence for the utility of the rules for Question Answering
Die virtuelle Forschungsumgebung SMW-CorA für die kollaborative Analyse und Auswertung umfangreicher digitalisierter Quellen
No full textSPARQL query verbalization for explaining semantic search engine queries
No full textIn this paper we introduce Spartiqulation, a system that translates SPARQL queries into English text. Our aim is to allow casual end users of semantic applications with limited to no expertise in the SPARQL query language to interact with these applications in a more intuitive way. The verbalization approach exploits domain-independent template-based natural language generation techniques, as well as linguistic cues in labels and URIs
Celebration of Success in the Elimination of Iodine Deficiency Disorders in the Great Hall of the People Beijing 27 October 2000
No full textA speech given by Basil Hetzel in China.
Folklore and Literary Tradition in the Riddles of Basil Levshin
No full textAt the article the prosaic riddles of Basil Levshin, the writer of the second half of the XVIII century, are considered in the context of Russian folklore and literary traditions. Riddles are classified according to their thematic focus, a way to create interpretive field, the subject-object organization. In the process of comparative analysis, the author comes to the conclusion that most of the riddles of the writer characterized by cognitive and heuristic orientation. They reflected both cognitive picture of the world in the representation of contemporary society, and the specifics of the national concept sphere, as well as the submission of the author of the mythological model of the world
Deriving human-readable labels from SPARQL queries
No full textOver 80% of entities on the Semantic Web lack a human-readable label. This hampers the ability of any tool that uses linked data to offer a meaningful interface to human users. We argue that methods for deriving human-readable labels are essential in order to allow the usage of the Web of Data. In this paper we explore, implement, and evaluate a method for deriving human-readable labels based on the variable names used in a large corpus of SPARQL queries that we built from a set of log files. We analyze the structure of the SPARQL graph patterns and offer a classification scheme for graph patterns. Based on this classification, we identify graph patterns that allow us to derive useful labels. We also provide an overview over the current usage of SPARQL in the newly built corpus
I Remember piece on the author\u27s failure to grow anything but basil on his Mai
No full textI Remember piece on the author\u27s failure to grow anything but basil on his Maine island
Architecture in tension: an examination of the position of the architect in the private and public sectors, focusing on the training and careers of Sir Basil Spence (1907-1976) and Sir Donald Gibson (1908-1991)
Full text linkIn the early 1900s tensions began to appear within the architectural profession,
as private practitioners struggled to deal with the implications of professional
colleagues moving into public sector employment. Sir Basil Spence and Sir
Donald Gibson began their architectural training in the mid-1920s and, as
tensions between the sectors intensified, Spence entered private practice and
Gibson chose to enter the public sector. Each became an exemplar of his
chosen sector of the profession and yet both have, until recently, escaped
critical attention. The tensions between the public and private sectors of the
profession have been acknowledged within the historiography, but not received
detailed analysis.
This thesis advances the current historiography by presenting an examination
of the division between the sectors, focusing on the relationship between the
RIBA and the public sector union AASTA and assessing the influence of
AASTA on Gibson's Coventry City Architect's Department.
Through an examination of archival material, contemporary published material,
and buildings, this thesis builds on the work of the Sir Basil Spence Archive
Project, adding detailed accounts of his early life, architectural training, and
RIBA presidency, presenting new information and correcting certain aspects of
the accepted historiography. It likewise presents new information on Gibson's
early life and training and his central role in achieving improved status and
representation for the public sector. An analysis of selected projects provides a
comparative study of their contrasting approaches to architecture: the
technically informed, collaborative team-work of Gibson and the individual
artistry of Spence.
Both men played pivotal roles in reforming the RIBA and in changing public and
professional perceptions of the architect, nevertheless, the long lineage and
complex nature of tensions within the profession meant that the public/private
division was never be bridged and issues of status and representation
remained essentially immutable
Semantic MediaWiki in Operation: Experiences with Building a Semantic Portal
No full textM. Herzig D, Ell B. Semantic MediaWiki in Operation: Experiences with Building a Semantic Portal. In: Proceedings of the 9\textsuperscript{th} International Semantic Web Conference. ISWC 2010. Shanghai, PR China: Springer; 2010: 114-128
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