samiat

• Touileb, Samia; Øvrelid, Lilja & Velldal, Erik (2021). Using Gender- and Polarity-Informed Models to Investigate Bias. In Costa-jussà, Marta R.; Gonen, Hila; Hardmeier, Christian & Webster, Kellie (Ed.), Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing. Association for Computational Linguistics. ISSN 978-1-954085-61-9. p. 66–74. doi: 10.18653/v1/2021.gebnlp-1.8.
• Touileb, Samia & Barnes, Jeremy (2021). The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus. In Zong, Chengqing; Xia, Fei; Li, Wenjie & Navigli, Roberto (Ed.), Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics. ISSN 978-1-954085-54-1. p. 3700–3712. doi: 10.18653/v1/2021.findings-acl.324.
• Barnes, Jeremy; Mæhlum, Petter & Touileb, Samia (2021). NorDial: A Preliminary Corpus of Written Norwegian Dialect Use. In Dobnik, Simon & Øvrelid, Lilja (Ed.), Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Linköping University Electronic Press. ISSN 978-91-7929-614-8. p. 445–451.
• Touileb, Samia (2020). LTG-ST at NADI Shared Task 1: Arabic Dialect Identification using a Stacking Classifier. In Zitouni, Imed; Abdul-Mageed, Muhammad; Bouamor, Houda; Bougares, Fethi; El-Haj, Mahmoud; Tomeh, Nadi & Zaghouani, Wajdi (Ed.), Proceedings of the Fifth Arabic Natural Language Processing Workshop. Association for Computational Linguistics. ISSN 978-1-952148-38-5. p. 313–319.
• Touileb, Samia; Øvrelid, Lilja & Velldal, Erik (2020). Gender and sentiment, critics and authors: a dataset of Norwegian book reviews. In Costa-jussà, Marta R.; Hardmeier, Christian; Radford, Will & Webster, Kellie (Ed.), Proceedings of the Second Workshop on Gender Bias in Natural Language Processing. Association for Computational Linguistics. ISSN 978-1-952148-43-9. p. 125–138.
• Adouane, Wafia; Touileb, Samia & Bernardy, Jean-Philippe (2020). Identifying Sentiments in Algerian Code-switched User-generated Comments. In Calzolari, Nicoletta; Béchet, Frédéric; Blache, Philippe; Choukri, Khalid; Cieri, Christopher; Declerck, Thierry; Goggi, Sara; Isahara, Hitoshi; Maegaard, Bente; Mariani, Joseph; Mazo, Hélène; Moreno, Asuncion; Odijk, Jan & Piperidis, Stelios (Ed.), Proceedings of The 12th Language Resources and Evaluation Conference. European Language Resources Association. ISSN 979-10-95546-34-4. p. 2698–2705.
• Lison, Pierre; Barnes, Jeremy; Hubin, Aliaksandr & Touileb, Samia (2020). Named Entity Recognition without Labelled Data: A Weak Supervision Approach . In Jurafsky, Dan; Chai, Joyce; Schluter, Natalie & Tetreault, Joel (Ed.), Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. ISSN 978-1-952148-25-5. p. 1518–1533. Full text in Research Archive
• Barnes, Jeremy Claude; Touileb, Samia; Øvrelid, Lilja & Velldal, Erik (2019). Lexicon information in neural sentiment analysis: a multi-task learning approach. In Hartmann, Mareike & Plank, Barbara (Ed.), Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa). Linköping University Electronic Press. ISSN 978-91-7929-995-8. p. 175–186. Full text in Research Archive
• Rodina, Julia; Bakshandaeva, Daria; Fomin, Vadim; Kutuzov, Andrei; Touileb, Samia & Velldal, Erik (2019). Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian. In Tahmasebi, Nina; Borin, Lars; Jatowt, Adam & Xu, Yang (Ed.), Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change. Association for Computational Linguistics. ISSN 978-1-950737-31-4. p. 202–209. doi: 10.18653/v1/W19-4725. Full text in Research Archive
• Touileb, Samia; Pedersen, Truls Andre & Sjøvaag, Helle (2018). Automatic identification of unknown names with specific roles. In Alex, Beatrice; Degaetano-Ortlieb, Stefania; Feldman, Anna; Kazantseva, Anna; Reiter, Nils & Szpakowicz, Stan (Ed.), Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. Association for Computational Linguistics. ISSN 978-1-948087-61-2. p. 150–158.
• Velldal, Erik; Øvrelid, Lilja; Bergem, Eivind Alexander; Stadsnes, Cathrine; Touileb, Samia & Jørgensen, Fredrik (2018). NoReC: The Norwegian Review Corpus. In Calzolari, Nicoletta; Choukri, Khalid; Cieri, Christopher; Declerck, Thierry; Goggi, Sara; Hasida, Koiti; Isahara, Hitoshi; Maegaard, Bente; Mariani, Joseph; Mazo, Hélène; Moreno, Asuncion; Odijk, Jan; Piperidis, Stelios & Tokunaga, Takenobu (Ed.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation. European Language Resources Association. ISSN 979-10-95546-00-9. p. 4186–4191. Full text in Research Archive
• Touileb, Samia & Steskal, Lubos (2016). ADIOS LDA: When Grammar Induction Meets Topic Modeling. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN 1892-0713.
• Touileb, Samia & Salway, Andrew (2014). Constructions: a new unit of analysis for corpus-based discourse analysis . In Aroonmanakun, Wirote; Supnithi, Thepchai & Boonkwan, Prachya (Ed.), Proceedings of the 28th Pacific Asia Conference on Language, Information and Computation (PACLIC 28). Chulalongkorn University. ISSN 978-616-551-887-1. p. 634–644.
• Salway, Andrew & Touileb, Samia (2014). Applying grammar induction to text mining. Association for Computational Linguistics (ACL). Annual Meeting Conference Proceedings. ISSN 0736-587X. p. 712–717. doi: 10.3115/v1/p14-2116.
• Salway, Andrew; Touileb, Samia & Tvinnereim, Endre (2014). Inducing Information Structures for Data-driven Text Analysis. Association for Computational Linguistics (ACL). Annual Meeting Conference Proceedings. ISSN 0736-587X. doi: 10.3115/v1/w14-2510. Show summary

  We report ongoing work that is aiming to develop a data-driven approach to text analysis for computational social science. The novel feature is the use of a grammar induction algorithm to identify salient information structures from an unannotated text corpus. The structures provide richer representations of text content than keywords, by capturing patterning related to what is written about key terms. Here we show how information structures were induced from texts that record political negotiations, and how the structures were used in analyzing relations between countries and negotiation positions.

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• Habash, Nizar; Bouamor, Houda; Hajj, Hazem; Magdy, Walid; Zaghouani, Wajdi & Bougares, Fethi [Show all 9 contributors for this article] (2021). Proceedings of the Sixth Arabic Natural Language Processing Workshop. Association for Computational Linguistics. ISBN 978-1-954085-09-1. 400 p.

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• Touileb, Samia; Øvrelid, Lilja & Velldal, Erik (2021). Using Gender- and Polarity-informed Models to Investigate Bias.
• Touileb, Samia; Pedersen, Truls Andre & Sjøvaag, Helle (2018). Automatically identifying names of unrecognized politicians.
• Sjøvaag, Helle; Pedersen, Truls Andre & Touileb, Samia (2018). Operationalising Diversity for Big Data Policy Research.
• Pedersen, Truls Andre; Touileb, Samia & Sjøvaag, Helle (2017). Finding Voices in the Margins: Computer-Assisted Discovery of Naturally Belonging Names .
• Touileb, Samia & Duarte, Katherine (2016). Getting to know large newsflows: Automatically induced information structures as keyphrases for news content analysis.
• Touileb, Samia & Steskal, Lubos (2015). A computational approach to organize and analyze online communication data.
• Iversen, Magnus Hoem; Pedersen, Truls Andre; Stavelin, Eirik & Touileb, Samia (2015). Computer supported deliberation and argumentation online. Proposing a system for online argumentation.
• Touileb, Samia (2013). Inducing local grammars from n-grams.
• Salway, Andrew; Hofland, Knut & Touileb, Samia (2013). Applying Corpus Techniques to Climate Change Blogs.
• Touileb, Samia; Elgesem, Dag & Steskal, Lubos (2012). Networks of texts and people.
• Touileb, Samia; Elgesem, Dag & Salway, Andrew (2017). Automatically Inducing Information Structures. A Text Mining Approach Based on the Distributional Hypothesis. Universitetet i Bergen. ISSN 978-82-308-3976-8.

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