Recent Submissions

  • Creating a multilingual terminological resource using linked data:the case of archaeological domain in the Italian language 

    Carlino, Carola; Ahmadi, Sina; Speranza, Giulia (CEUR Workshop Proceedings, 2019-11-13)
    The lack of multilingual terminological resources in specialized domains constitutes an obstacle to the access and reuse of information. In the technical domain of cultural heritage and, in particular, archaeology, such ...
  • Towards electronic lexicography for the Kurdish language 

    Ahmadi, Sina; Hassani, Hossein; McCrae, John P. (eLex 2019, 2019-10-01)
    This paper describes the development of lexicographic resources for Kurdish and provides a lexical model for this language. Kurdish is considered a less-resourced language, and currently, lacks machine-readable lexical ...
  • The ELEXIS interface for interoperable lexical resources 

    McCrae, John P.; Tiberius, Carole; Khan, Anas Fahad; Kernerman, Ilan; Declerck, Thierry; Krek, Simon; Monachini, Monica; Ahmadi, Sina (eLex 2019, 2019-10-01)
    ELEXIS is a project that aims to create a European network of lexical resources, and one of the key challenges for this is the development of an interoperable interface for different lexical resources so that further ...
  • A decade of Semantic Web research through the lenses of a mixed methods approach 

    Kirrane, Sabrina; Sabou, Marta; Fernandez, Javier D.; Osborne, Francesco; Robin, Cécile; Buitelaar, Paul; Motta, Enrico; Polleres, Axel (IOS Press, 2019-06-20)
    The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily ...
  • Towards sharing task environments to support reproducible evaluations of interactive recommender systems 

    Barraza-Urbina, Andrea; d'Aquin, Mathieu (NUI Galway, 2019-09-20)
    Beyond sharing datasets or simulations, we believe the Recommender Systems (RS) community should share Task Environments. In this work, we propose a high-level logical architecture that will help to reason about the core ...
  • BEARS: Towards an evaluation framework for bandit-based interactive recommender systems 

    Barraza-Urbina, Andrea; Koutrika, Georgia; d'Aquin, Mathieu,; Hayes, Conor (NUI Galway, 2018-10-06)
    Recommender Systems (RS) deployed in fast-paced dynamic scenarios must quickly learn to adapt in response to user evaluative feedback. In these settings, the RS faces an online learning problem where each decision should ...
  • WordNet gloss translation for under-resourced languages using multilingual neural machine translation 

    Chakravarthi, Bharathi Raja; Arcan, Mihael; McCrae, John P. (European Association for Machine Translation, 2019-08-19)
    In this paper, we translate the glosses in the English WordNet based on the expand approach for improving and generating wordnets with the help of multilingual neural machine translation. Neural Machine Translation (NMT) ...
  • Multilingual multimodal machine translation for Dravidian languages utilizing phonetic transcription 

    Chakravarthi, Bharathi Raja; Priyadharshini, Ruba; Stearns, Bernardo; Jayapal, Arun; Sridevy, S.; Arcan, Mihael; Zarrouk, Manel; McCrae, John P. (European Association for Machine Translation, 2019-08-19)
    Multimodal machine translation is the task of translating from a source text into the target language using information from other modalities. Existing multimodal datasets have been restricted to only highly resourced ...
  • Neural machine translation of literary texts from English to Slovene 

    Kuzman, Taja; Vintar, Špela; Arčan, Mihael (Machine Translation Summit 2019, 2019-08-19)
    Neural Machine Translation has shown promising performance in literary texts. Since literary machine translation has not yet been researched for the English-toSlovene translation direction, this paper aims to fulfill ...
  • Discovering protein drug targets using knowledge graph embeddings 

    Mohamed, Sameh K .; Nováček, Vít; Nounu, Aayah (Oxford University Press, 2019-08-01)
    Motivation Computational approaches for predicting drug-target interactions (DTIs) can provide valuable insights into the drug mechanism of action. DTI predictions can help to quickly identify new promising (on-target) ...
  • CoFiF: A corpus of financial reports in French language 

    Ahmadi, Sina; Daudert, Tobias (NUI Galway, 2019-08-12)
    In an era when machine learning and artificial intelligence have huge momentum, the data demand to train and test models is steadily growing. We introduce CoFiF, the first corpus comprising company reports in the French ...
  • Creating a fine-grained corpus for a less-resourced language: the case of Kurdish 

    Omer Abdulrahman, Roshna; Hassani, Hossein; Ahmadi, Sina (NUI Galway, 2019-07-28)
    Kurdish is a less-resourced language consisting of different dialects written in various scripts. Approximately 30 million people in different countries speak the language. The lack of corpora is one of the main obstacles ...
  • NUIG at the FinSBD Task: Sentence boundary detection for noisy financial PDFs in English and French 

    Daudert, Tobias; Ahmadi, Sina (NUI Galway, 2019-08-12)
    Portable Document Format (PDF) has become the industry-standard document as it is independent of the software, hardware or operating system. Publicly listed companies annually publish a variety of reports and too take ...
  • Passive diagnosis incorporating the PHQ-4 for depression and anxiety 

    Delahunty, Fionn; Johansson, Robert; Mihael, Arcan (NUI Galway, 2019)
    Depression and anxiety are the two most prevalent mental health disorders worldwide, impacting the lives of millions of people each year. In this work, we develop and evaluate a multilabel, multidimensional deep neural ...
  • Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models 

    Torregrosa, Daniel; Pasricha, Nivranshu; Chakravarth, Bharathi Raja; Masoud, Maraim; Alonso, Juan; Casas, Noe; Arcan, Mihael (NUI Galway, 2019-08-19)
    Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total ...
  • Lexical sense alignment using weighted bipartite b-matching 

    Ahmadi, Sina; Arcan, Mihael; McCrae, John (NUI Galway, 2019-05-20)
    In this study, we present a similarity-based approach for lexical sense alignment in WordNet and Wiktionary with a focus on the polysemous items. Our approach relies on semantic textual similarity using features such as ...
  • On lexicographical networks 

    Ahmadi, Sina; Arcan, Mihael; McCrae, John (NUI Galway, 2018-12-06)
    In this study, we analyze various aspects of lexicographical networks. We would like to answer our research questions of what are the characteristics of the lexicographical networks? In addition to the existing notions of ...
  • Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation 

    Arcan, Mihael; Torregrosa, Daniel; Ahmadi, Sina; McCrae, John P. (National University of Ireland, Galway, 2019-05-20)
    In the widely-connected digital world, multilingual lexical resources are one of the most important resources, for natural language processing applications, including information retrieval, question answering or knowledge ...
  • TIAD 2019 Shared Task: Leveraging knowledge graphs with neural machine translation for automatic multilingual dictionary generation 

    Torregrosa, Daniel; Arcan, Mihael; Ahmadi, Sina; McCrae, John P. (National University of Ireland, Galway, 2019-04-20)
    This paper describes the different proposed approaches to the TIAD 2019 Shared Task, which consisted in the automatic discovery and generation of dictionaries leveraging multilingual knowledge bases. We present three methods ...
  • An evaluation of SPARQL federation engines over multiple endpoints 

    Saleem, Muhammad; Khan, Yasar; Hasnain, Ali; Ermilov, Ivan; Ngonga Ngomo, Axel-Cyrille (NUI Galway, 2018-04-23)
    Due to decentralized and linked architecture underlying Linking Data, running complex queries often require collecting data from multiple RDF datasets. The optimization of the runtime of such queries, called federated ...

View more