Selected Publications (in chronological order)

This section includes peer-reviewed publications in journals, books or conference proceedings.

Latest publications

  • Periñán-Pascual, Carlos (2021) "Measuring associational thinking through word embeddings". Artificial Intelligence Review. pdf

  • Fernández Martínez, Nicolás José and Carlos Periñán-Pascual (2021) “LORE: a model for the detection of fine-grained locative references in tweets”. Onomázein 52, pp. 195-225. pdf

NLP TOOLS: ARTEMIS

  • Periñán-Pascual, Carlos (2013) “Towards a model of constructional meaning for natural language understanding”. Brian Nolan & Elke Diedrichsen (eds.) Linking Constructions into Functional Linguistics: The Role of Constructions in Grammar. John Benjamins, Amsterdam/Philadelphia, 205-230. pdf

  • Periñán-Pascual, Carlos and Arcas Túnez, Francisco (2014) “The implementation of the FunGramKB CLS Constructor”. Brian Nolan and Carlos Periñán-Pascual (eds.) Language Processing and Grammars: The Role of Functionally Oriented Computational Models. Amsterdam/Philadelphia: John Benjamins, 165-196. pdf

  • Cortés Rodríguez, Francisco (2016) “Towards the computational implementation of Role and Reference Grammar: Rules for the syntactic parsing of RRG Phrasal constituents”. Círculo de lingüística aplicada a la comunicación 65, pp. 75-108. pdf

  • Cortés Rodríguez, Francisco and Mairal-Usón, Ricardo (2016) “Building an RRG computational grammar”. Onomázein 34, pp. 86-117. pdf

  • Díaz Galán, Ana and Fumero Pérez, María del Carmen (2016) “Developing Parsing Rules within ARTEMIS: The case of Do Auxiliary Insertion”. Periñán-Pascual, Carlos and Mestre Mestre, Eva (eds.) Understanding Meaning and Knowledge Representation, pp. 283-303.

  • Díaz Galán, Ana and Fumero Pérez, María del Carmen (2017) “ARTEMIS: State of the Art and Future Horizons”. Revista de Lenguas para Fines Específicos 23 (2), pp. 16-40. pdf

  • Fumero Pérez, María Del Carmen and Díaz Galán, Ana (2017) “The interaction of parsing rules and argument – Predicate constructions: implications for the structure of the Grammaticon in FunGramKB”. Revista de Lingüística y Lenguas Aplicadas 12, pp. 33-44. pdf

  • Mairal Usón, Ricardo and Cortés Rodríguez, Francisco (2017) “Automatically Representing TExt Meaning via an Interlingua based System (ARTEMIS). A further step towards the computational representation of RRG”. Journal of Computer-Assisted Linguistic Research 1, pp. 61-87. pdf

  • Martín Díaz, María Auxiliadora (2017) “An Account of English YES/NO Interrogative Sentences within ARTEMIS”. Revista de Lenguas para Fines Específicos 23 (2), pp. 41-62. pdf

  • Cortés-Rodríguez, Francisco and Rodríguez-Juárez, Carolina (2018) “Parsing Phrasal Constituents in ASD-STE100 with ARTEMIS”. Voprosy Kognitivnoy Lingvistiki 3, pp. 97-109.

  • Díaz-Galán, Аna (2018) “Deep Parsing for the aviation industry: Adjusting ARTEMIS for parsing simple clauses in ASD STE-100”. Voprosy Kognitivnoy Lingvistiki 3, pp. 83-96.

  • Fumero Pérez, María del Carmen (2018) “Adapting ARTEMIS to Parsing a Controlled Language”. Voprosy Kognitivnoy Lingvistiki 3, pp. 71-82.

  • Martín-Díaz, María Auxiliadora (2018) “Parsing wh-interrogative sentences within ARTEMIS”. Revista Electrónica de Lingüística Aplicada 17 (1), pp. 78-98. pdf

  • Cortés-Rodríguez, Francisco and Rodríguez-Juárez, Carolina (2019) “The syntactic parsing of ASD-STE100 adverbials in ARTEMIS”. Revista de Lingüística y Lenguas Aplicadas 14, pp. 59-79. pdf

NLP TOOLS: CASPER

  • Periñán-Pascual, Carlos and Francisco Arcas-Túnez (2017) “A knowledge-based approach to social sensors for environmentally-related problems”, 1st International Workshop on Intelligent Systems for Agriculture Production and Environment Protection, Seoul, 21-22 August 2017. Cesar Analide and Pankoo Kim (eds.) Intelligent Environments 2017. Workshop Proceedings of the 13th International Conference on Intelligent Environments, IOS Press, Amsterdam, pp. 49-58. pdf

  • Periñán-Pascual, Carlos and Francisco Arcas-Túnez (2018) “The analysis of tweets to detect natural hazards”, 2nd International Workshop on Intelligent Systems for Agriculture Production and Environment Protection, Rome, 25-28 June 2018. Ioannis Chatzigiannakis, Yoshito Tobe, Paulo Novais, and Oliver Amft (eds.) Intelligent Environments 2018. Workshop Proceedings of the 14th International Conference on Intelligent Environments, IOS Press, Amsterdam, pp. 87-96. pdf

  • Periñán-Pascual, Carlos and Francisco Arcas-Túnez (2019) “Detecting environmentally-related problems on Twitter”. Biosystems Engineering 177, pp. 31-48 (ISSN: 1537-5110). pdf

NLP TOOLS: DAMIEN

  • Periñán-Pascual, Carlos (2017) “Bridging the gap within text-data analytics: A computer environment for data analysis in linguistic research”. Revista de Lenguas para Fines Específicos 23 (2), pp. 111-132. pdf

NLP TOOLS: DEXTER

  • Periñán Pascual, Carlos (2015) “The underpinnings of a composite measure for automatic term extraction: the case of SRC”. Terminology 21 (2), pp. 151-179. pdf

  • Periñán-Pascual, Carlos (2018) “DEXTER: A workbench for automatic term extraction with specialized corpora”. Natural Language Engineering 24 (2), pp. 163-198. pdf

  • Periñán-Pascual, Carlos and Ricardo Mairal Usón (2018) “A framework of analysis for the evaluation of automatic term extractors”. VIAL - Vigo International Journal of Applied Linguistics 15, pp. 105-125. pdf

NLP TOOLS: LORE

  • Fernández Martínez, Nicolás José and Carlos Periñán-Pascual (2020) “Knowledge-based rules for the extraction of complex, fine-grained locative references from tweets”. RAEL: Revista Electrónica de Lingüística Aplicada 19 (1), pp. 136-163 (ISSN: 1885-9089). pdf

  • Fernández Martínez, Nicolás José and Carlos Periñán-Pascual (2021) “LORE: a model for the detection of fine-grained locative references in tweets”. Onomázein 52, pp. 195-225. pdf

  • Fernández-Martínez, Nicolás José and Carlos Perinán-Pascual (2021) "nLORE: A linguistically rich deep-learning system for locative reference extraction in tweets", 1st International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET), Dubai, 22 June 2021. Engie Bashir and Mitja Luštrek (eds.) Intelligent Environments 2021. Workshop Proceedings of the 17th International Conference on Intelligent Environments, IOS Press, Amsterdam, pp. 243-254 (ISBN: 978-1-64368-186-3). pdf

NLP TOOLS: WALE

  • Periñán-Pascual, Carlos (2021) "Measuring associational thinking through word embeddings". Artificial Intelligence Review. pdf

MISCELLANEOUS

  • Periñán-Pascual, Carlos, José M. Cecilia, Alicia Sepúlveda-Muñoz, Francisco Arcas-Túnez and Nicolás José Fernández-Martínez (2020) "Assessing the impact of tweets in flood events", 1st International Workshop on Social Media Analysis for Intelligent Environment, Madrid, 20-23 July 2020. Carlos A. Iglesias, Jose Ignacio Moreno Novella, Alessandro Ricci, Diego Rivera Pinto and Dumitru Roman (eds.) Intelligent Environments 2020. Workshop Proceedings of the 16th International Conference on Intelligent Environments, IOS Press, Amsterdam, pp. 371-380 (ISBN: 978-1-64368-090-3). pdf

  • Fernández-Pedauye, Julio, Carlos Perinán-Pascual, Francisco Arcas-Túnez and José M. Cecilia (2020) "Enhancing the spaCy named entity recognizer for crowdsensing", 1st International Workshop on Open and Crowdsourced Location Data, Madrid, 20-23 July 2020. Carlos A. Iglesias, Jose Ignacio Moreno Novella, Alessandro Ricci, Diego Rivera Pinto and Dumitru Roman (eds.) Intelligent Environments 2020. Workshop Proceedings of the 16th International Conference on Intelligent Environments, IOS Press, Amsterdam, pp. 361-367 (ISBN: 978-1-64368-090-3). pdf