Browsing Data Science Institute by Title

Now showing items 281-300 of 544

    • Multi-threading based implementation of ant-colony optimization algorithm for image edge detection 

      Aslam, Asra; Khan, Ekram; Beg, M.M. Sufyan (IEEE, 2015-10-17)
      Ant Colony Optimization (ACO) is a nature inspired algorithm for solving optimization problems and is proved to be a powerfnl tool in image processing. It works on the principle that an ant while moving leaves pheromones ...

    • MultiBeeBrowse Accessible Browsing on Unstructured Metadata 

      Kruk, Sebastian Ryszard; Gzella, Adam; Czaja, Filip; Bultrowicz, Wladyslaw; Kruk, Ewelina (Springer, 2007)
      Growing abundance of information on the Internet, especially the Next Generation Internet, poses even more challenges on more efficient information management; hence it has brought attention of the researchers to the faceted ...

    • A multilingual evaluation dataset for monolingual word sense alignment 

      Ahmadi, Sina; McCrae, John P.; Nimb, Sanni; Khan, Fahad; Monachini, Monica; Pedersen, Bolette S.; Declerck, Thierry; Wissik, Tanja; Bellandi, Andrea; Pisani, Irene; Troelsgård, Thomas; Olsen, Sussi; Krek, Simon; Lipp, Veronika; Váradi, Tamás; Simon, László; Gyorffy, Andras; Tiberius, Carole; Schoonheim, Tanneke; Moshe, Yifat Ben; Rudich, Maya; Ahmad, Raya Abu; Lonke, Dorielle; Kovalenko, Kira; Langemets, Margit; Kallas, Jelena; Oksana, Dereza; Fransen, Theodorus; Cillessen, David; Lindemann, David; Alonso, Mikel; Salgado, Ana; Sancho, Jose Luis; Urena-Ruiz, Rafael-J.; Zamorano, Jordi Porta; Simov, Kiril; Osenova, Petya; Kancheva, Zara; Radev, Ivaylo; Stankovic, Ranka; Perdih, Andrej; Gabrovsek, Dejan (National University of Ireland Galway, 2020-05-16)
      Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually ...

    • 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 ...

    • Multimodal emotion recognition for AVEC 2016 challenge 

      Povolny, Filip; Matejka, Pavel; Hradis, Michal; Popkova, Anna; Otrusina, Lubomir; Smrz, Pavel; Wood, Ian; Robin, Cécile; Lamel, Lori (ACM, 2016-10-16)
      This paper describes a systems for emotion recognition and its application on the dataset from the AV+EC 2016 Emotion Recognition Challenge. The realized system was produced and submitted to the AV+EC 2016 evaluation, ...

    • Multimodal meme dataset (MultiOFF) for identifying offensive content in image and text 

      Suryawanshi, Shardul; Chakravarthi, Bharathi Raja; Arcan, Mihael; Buitelaar, Paul (European Language Resources Association (ELRA), 2020-05-11)
      A meme is a form of media that spreads an idea or emotion across the internet. As posting meme has become a new form of communication of the web, due to the multimodal nature of memes, postings of hateful memes or related ...

    • Multimodal multimodel emotion analysis as linked data 

      Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Sagha, Hesam; Schuller, Björn; Ian D. Wood, Ian D.; Buitelaar, Paul (IEEE, 2017-10-23)
      The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting ...

    • Multimodal multimodel emotion analysis as linked data 

      Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Sagha, Hesam; Schuller, Björn; Wood, Ian; Buitelaar, Paul (IEEE, 2018-02-01)
      The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting factor ...

    • Neologism: Easy Vocabulary Publishing 

      Basca, Cosmin; Corlosquet, Stéphane; Cyganiak, Richard; Fernández, Sergio; Schandl, Thomas (2008)
      Creating, documenting, publishing and maintaining an RDF Schema vocabulary is a complex, timeconsuming task. This makes vocabulary maintainers reluctant to evolve their creations quickly in response to user feedback; it ...

    • The NEPOMUK Project - On the way to the Social Semantic Desktop 

      Groza, Tudor; Handschuh, Siegfried; Möller, Knud (2007)
      This paper introduces the NEPOMUK project which aims to create a standard and reference implementation for the Social Semantic Desktop. We outline the requirements and functionalities that were identified for a useful ...

    • NetTopo: Beyond Simulator and Visualizer for Wireless Sensor Networks 

      Shu, Lei; Wu, Chun; Hauswirth, Manfred (IEEE and LNCS, 2008)
      Deploying real WSN testbed provides a realistic testing environment, and allows users to get more accurate test results. However, deploying real testbed is highly constrained by the available budget when the test needs ...

    • 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 ...

    • Newspaper content analysis: print media coverage of Ireland’s Child & Family Agency (Tusla) 2014-2017 

      O’Connor, Patricia; McGregor, Caroline; Devaney, Carmel (UNESCO Child and Family Research Centre, NUI Galway, 2018-12)
      This report presents the findings of a content analysis carried out on a broad range of national and regional Irish newspapers in order to describe communication about Tusla and its Prevention, Partnership, and Family ...

    • Non-partitioning merge-sort: Performance enhancement by elimination of division in divide-and-conquer algorithm 

      Aslam, Asra; Ansari, Mohd. Samar; Varshney, Shikha (ACM, 2016-03-04)
      The importance of a high performance sorting algorithm with low time complexity cannot be over stated. Several benchmark algorithms viz. Bubble Sort, Insertion Sort, Quick Sort, and Merge Sort, etc. have tried to achieve ...

    • A Non-traditional Inference Paradigm for Learned Ontologies 

      Nováček, Vít (CEUR Workshop proceedings, 2007)

    • notitio.us - Semantic Information Discovery, Browsing and Sharing 

      Gzella, Adam; Kruk, Sebastian Ryszard (2007)
      Searching for information on the Internet became much easier when Google started delivering their service. We got used to getting the most important (probably) results on the top of the list. But more and more ...

    • NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity 

      Andryushechkin, Vladimir; Wood, Ian D.; O'Neill, James (Association for Computational Linguistics, 2017-09-08)
      This paper describes the entry NUIG in the WASSA 20171 shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BiLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word ...

    • 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 ...

    • NUIG at TIAD 2021: Cross-lingual word embeddings for translation inference 

      Ahmadi, Sina; Ojha, Atul Kr.; Banerjee, Shubhanker; McCrae, John P. (2021-09-01)
      Inducing new translation pairs across dictionaries is an important task that facilitates processing and maintaining lexicographical data. This paper describes our submissions to the Translation Inference Across Dictionaries ...

    • NUIG at TIAD: Combining unsupervised NLP and graph metrics for translation inference 

      McCrae, John P.; Arcan, Mihael (European Language Resources Association (ELRA), 2020-05-11)
      In this paper, we present the NUIG system at the TIAD shard task. This system includes graph-based metrics calculated using novel algorithms, with an unsupervised document embedding tool called ONETA and an unsupervised ...