Selected Publications (in chronological order)

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


Latest publications

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

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

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