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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Grill, Pablo; Claassen, Mathias; Rosá, Aiala; Correa, Hernán;

    This paper presents a series of semi-supervised learning algorithms which were designed to classify words or expressions with temporal meanings. The algorithms use a set of pre-tagged temporal expressions and a set of semantic classes which were defined within a research project on the lexical coding of temporal meaning in Spanish. The algorithms in this article are mostly based on word embeddings, but they also make use of other methods. The results obtained strongly depend on the temporal classes considered, but, for some classes, results have reached 90% precision or above. Sociedad Argentina de Informática e Investigación Operativa

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rago, Alejandro; Marcos, Claudia A.; Diaz Pace, Andrés;

    Recent trends in the software engineering community advocate for the improvement of textual requirements using (semi-)automated tools. In particular, the detection of incomplete or understated concerns at early development stages hold potential, due to the negative effects of untreated concerns on the development. Assistive tools can be of great help for analysts to get a quick picture of the requirements and narrow down the search for latent concerns. In this article, we present a tool called REAssistant that supports the process of discovering concerns in textual specifications. To do so, the tool relies on the UIMA framework and EMF-based technologies to provide an extensible architecture for concern-related analyses. Currently, the tool is configured to process textual use cases by using a number of textual analytics modules that identify lexical, syntactical and semantic entities in the specifications.We have conducted a preliminary evaluation of our tool in two case studies, obtaining promising results when comparing to manual inspections and to another tool. Sociedad Argentina de Informática e Investigación Operativa

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rio Riande, María Gimena del; González Blanco García, Elena; Martínez Cantón, Clara; Curado Malta, Mariana;

    This paper presents work-in-progress of the POSTDATA project. This project aims to provide means to solve the interoperability issues that exist among the digital poetry repertoires. These repertoires hold data of poetry metrics that is locked in their own databases and it is not freely available to be compared and to be used by intelligent machines that could infer over the data. The POSTDATA project will use Linked Open Data (LOD) technologies to overcome the interoperability problems. POSTDATA is developing a metadata application proFIle (MAP) for the digital poetry repertoires, a construct that enhances interoperability.This development follows the method for the development of MAP (Me4MAP).A MAP for the digital poetry repertoires will open doors for this repertoires to be able to structure the data with a common model in order to publish it as Linked Open Data. This paper presents how this MAP is being developed so far. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
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    Authors: Corral, Alexandra; Sánchez, Luis E.; Antonelli, Rubén Leandro;

    Domain discovery is an essential activity in the early stages of software development, problems of understanding and communication are common in development teams, due to the excessive handling of information from different sources, generating great effort in: consensus, interpretation and transfer of useful information for the application. For this reason, it has been seen the need to merge artificial intelligence with requirements engineering processes that mimic human behavior, through the creation of a vocabulary for the application, improving the Extended Lexicon of Language LEL, using Natural Language Processing, ontologies for semantic reasoning and heuristic rules to improve completeness. Facultad de Informática

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Garciarena Ucelay, María José; Villegas, María Paula; Cagnina, Leticia; Errecalde, Marcelo Luis;

    Author Profiling is the task of predicting characteristics of the author of a text, such as age, gender, personality, native language, etc. This is a task of growing importance due to the potential applications in security, crime detection and marketing, among others. An interesting point is to study the robustness of a classifier when it is trained with a dataset and tested with others containing different characteristics. Commonly this is called cross domain experimentation. Although different cross domain studies have been done for datasets in English language, for Spanish it has recently begun. In this context, this work presents a study of cross domain classification for the author profiling task in Spanish. The experimental results showed that using corpora with different levels of formality we can obtain robust classifiers for the author profiling task in Spanish language. Red de Universidades con Carreras en Informática (RedUNCI) XII Workshop Bases de Datos y Minería de Datos (WBDDM)

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Alonso i Alemany, Laura;

    We present work in progress on word normalization for user-generated content. The approach is simple and helps in reducing the amount of manual annotation characteristic of more classical approaches. First, ortographic variants of a word, mostly abbreviations, are grouped together. From these manually grouped examples, we learn an automated classifier that, given a previously unseen word, determines whether it is an ortographic variant of a known word or an entirely new word. To do that, we calculate the similarity between the unseen word and all known words, and classify the new word as an ortographic variant of its most similar word. The classifier applies a string similarity measure based on the Levenshtein edit distance. To improve the accuracy of this measure, we assign edit operations an error-based cost. This scheme of cost assigning aims to maximize the distance between similar strings that are variants of different words. This custom similarity measure achieves an accuracy of .68, an important improvement if we compare it with the .54 obtained by the Levenshtein distance. Sociedad Argentina de Informática e Investigación Operativa

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Argerich, Luis; Cano, Matías J.; Torre Zaffaroni, Joaquín;

    In this paper we propose the application of feature hashing to create word embeddings for natural language processing. Feature hashing has been used successfully to create document vectors in related tasks like document classification. In this work we show that feature hashing can be applied to obtain word embeddings in linear time with the size of the data. The results show that this algorithm, that does not need training, is able to capture the semantic meaning of words.We compare the results against GloVe showing that they are similar. As far as we know this is the first application of feature hashing to the word embeddings problem and the results indicate this is a scalable technique with practical results for NLP applications. Sociedad Argentina de Informática e Investigación Operativa (SADIO)

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Servicio de Difusión...arrow_drop_down
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    Authors: Funes, Ana; Dasso, Aristides;

    At early stages of software system development, system requirements often are expressed in natural language. There are a number of techniques to extract useful information from these documents to construct a more precise –and formal– document that expresses the system requirements. Some of these techniques consist in identifying system use cases during requirement analysis work. Particularly, event0based techniques identify –from the elicited documents– the external events that a system must respond to and then related them to use cases and actors. These event lists are simpler than use cases –and are a first step in building them. Although use cases have been proven to be a useful tool for requirement specification and facilitate the interaction with end users, they lack formality, giving place to misinterpretations and misunderstandings. Having this in mind, we propose a technique that integrates the understandability of graphical notations provided by use case notation with the unambiguity of formal specifications, by supplementing identified use cases –initially as a list of external events– with an initial formal specification consisting of function signatures and sorts in the RAISE Specification Language (RSL). Taking as input the identified external events associated with each system use case, which are expressed in natural language, we process them using a natural language tool that produces as output a structured format from which, by applying a set of rules, we translate them into RSL function signatures. Sociedad Argentina de Informática e Investigación Operativa

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    Authors: Mechaca C., Ana L.; Marmanillo, Walter G.; Xamena, Eduardo; Ramirez-Orta, Juan; +2 Authors

    Digital Humanities researchers often make use of software that helps them in the task of finding non-trivial relationships among characters in historical text. Usually, the source texts that contain such information come from OCR acquired volumes, carrying high amounts of errors within them. This work explains the development of a web platform for the task of OCR post-processing and ground-truth generation. This platform employs machine learning to predict the correct texts accurately from OCR noisy strings. The method used for this task involves transformers for character-based denoising language models. An active learning workflow is proposed, as the users can feed their corrections to the platform, generating new annotated data for re-training the underlying machine learning correction models. Sociedad Argentina de Informática e Investigación Operativa

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    Authors: Cardellino, Cristian; Alonso i Alemany, Laura;

    We present SuFLexQA, a system for Question Answering that integrates deep linguistic information from verbal lexica into Quepy, a generic framework for translating natural language questions into a query language. We are participating in the QALD-3 contest to assess the main achievements and shortcomings of the system. Sociedad Argentina de Informática e Investigación Operativa

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Grill, Pablo; Claassen, Mathias; Rosá, Aiala; Correa, Hernán;

    This paper presents a series of semi-supervised learning algorithms which were designed to classify words or expressions with temporal meanings. The algorithms use a set of pre-tagged temporal expressions and a set of semantic classes which were defined within a research project on the lexical coding of temporal meaning in Spanish. The algorithms in this article are mostly based on word embeddings, but they also make use of other methods. The results obtained strongly depend on the temporal classes considered, but, for some classes, results have reached 90% precision or above. Sociedad Argentina de Informática e Investigación Operativa

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    Authors: Rago, Alejandro; Marcos, Claudia A.; Diaz Pace, Andrés;

    Recent trends in the software engineering community advocate for the improvement of textual requirements using (semi-)automated tools. In particular, the detection of incomplete or understated concerns at early development stages hold potential, due to the negative effects of untreated concerns on the development. Assistive tools can be of great help for analysts to get a quick picture of the requirements and narrow down the search for latent concerns. In this article, we present a tool called REAssistant that supports the process of discovering concerns in textual specifications. To do so, the tool relies on the UIMA framework and EMF-based technologies to provide an extensible architecture for concern-related analyses. Currently, the tool is configured to process textual use cases by using a number of textual analytics modules that identify lexical, syntactical and semantic entities in the specifications.We have conducted a preliminary evaluation of our tool in two case studies, obtaining promising results when comparing to manual inspections and to another tool. Sociedad Argentina de Informática e Investigación Operativa

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    Authors: Rio Riande, María Gimena del; González Blanco García, Elena; Martínez Cantón, Clara; Curado Malta, Mariana;

    This paper presents work-in-progress of the POSTDATA project. This project aims to provide means to solve the interoperability issues that exist among the digital poetry repertoires. These repertoires hold data of poetry metrics that is locked in their own databases and it is not freely available to be compared and to be used by intelligent machines that could infer over the data. The POSTDATA project will use Linked Open Data (LOD) technologies to overcome the interoperability problems. POSTDATA is developing a metadata application proFIle (MAP) for the digital poetry repertoires, a construct that enhances interoperability.This development follows the method for the development of MAP (Me4MAP).A MAP for the digital poetry repertoires will open doors for this repertoires to be able to structure the data with a common model in order to publish it as Linked Open Data. This paper presents how this MAP is being developed so far. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)

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    Authors: Corral, Alexandra; Sánchez, Luis E.; Antonelli, Rubén Leandro;

    Domain discovery is an essential activity in the early stages of software development, problems of understanding and communication are common in development teams, due to the excessive handling of information from different sources, generating great effort in: consensus, interpretation and transfer of useful information for the application. For this reason, it has been seen the need to merge artificial intelligence with requirements engineering processes that mimic human behavior, through the creation of a vocabulary for the application, improving the Extended Lexicon of Language LEL, using Natural Language Processing, ontologies for semantic reasoning and heuristic rules to improve completeness. Facultad de Informática

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    Authors: Garciarena Ucelay, María José; Villegas, María Paula; Cagnina, Leticia; Errecalde, Marcelo Luis;

    Author Profiling is the task of predicting characteristics of the author of a text, such as age, gender, personality, native language, etc. This is a task of growing importance due to the potential applications in security, crime detection and marketing, among others. An interesting point is to study the robustness of a classifier when it is trained with a dataset and tested with others containing different characteristics. Commonly this is called cross domain experimentation. Although different cross domain studies have been done for datasets in English language, for Spanish it has recently begun. In this context, this work presents a study of cross domain classification for the author profiling task in Spanish. The experimental results showed that using corpora with different levels of formality we can obtain robust classifiers for the author profiling task in Spanish language. Red de Universidades con Carreras en Informática (RedUNCI) XII Workshop Bases de Datos y Minería de Datos (WBDDM)

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    Authors: Alonso i Alemany, Laura;

    We present work in progress on word normalization for user-generated content. The approach is simple and helps in reducing the amount of manual annotation characteristic of more classical approaches. First, ortographic variants of a word, mostly abbreviations, are grouped together. From these manually grouped examples, we learn an automated classifier that, given a previously unseen word, determines whether it is an ortographic variant of a known word or an entirely new word. To do that, we calculate the similarity between the unseen word and all known words, and classify the new word as an ortographic variant of its most similar word. The classifier applies a string similarity measure based on the Levenshtein edit distance. To improve the accuracy of this measure, we assign edit operations an error-based cost. This scheme of cost assigning aims to maximize the distance between similar strings that are variants of different words. This custom similarity measure achieves an accuracy of .68, an important improvement if we compare it with the .54 obtained by the Levenshtein distance. Sociedad Argentina de Informática e Investigación Operativa

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    Authors: Argerich, Luis; Cano, Matías J.; Torre Zaffaroni, Joaquín;

    In this paper we propose the application of feature hashing to create word embeddings for natural language processing. Feature hashing has been used successfully to create document vectors in related tasks like document classification. In this work we show that feature hashing can be applied to obtain word embeddings in linear time with the size of the data. The results show that this algorithm, that does not need training, is able to capture the semantic meaning of words.We compare the results against GloVe showing that they are similar. As far as we know this is the first application of feature hashing to the word embeddings problem and the results indicate this is a scalable technique with practical results for NLP applications. Sociedad Argentina de Informática e Investigación Operativa (SADIO)

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    Authors: Funes, Ana; Dasso, Aristides;

    At early stages of software system development, system requirements often are expressed in natural language. There are a number of techniques to extract useful information from these documents to construct a more precise –and formal– document that expresses the system requirements. Some of these techniques consist in identifying system use cases during requirement analysis work. Particularly, event0based techniques identify –from the elicited documents– the external events that a system must respond to and then related them to use cases and actors. These event lists are simpler than use cases –and are a first step in building them. Although use cases have been proven to be a useful tool for requirement specification and facilitate the interaction with end users, they lack formality, giving place to misinterpretations and misunderstandings. Having this in mind, we propose a technique that integrates the understandability of graphical notations provided by use case notation with the unambiguity of formal specifications, by supplementing identified use cases –initially as a list of external events– with an initial formal specification consisting of function signatures and sorts in the RAISE Specification Language (RSL). Taking as input the identified external events associated with each system use case, which are expressed in natural language, we process them using a natural language tool that produces as output a structured format from which, by applying a set of rules, we translate them into RSL function signatures. Sociedad Argentina de Informática e Investigación Operativa

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    Authors: Mechaca C., Ana L.; Marmanillo, Walter G.; Xamena, Eduardo; Ramirez-Orta, Juan; +2 Authors

    Digital Humanities researchers often make use of software that helps them in the task of finding non-trivial relationships among characters in historical text. Usually, the source texts that contain such information come from OCR acquired volumes, carrying high amounts of errors within them. This work explains the development of a web platform for the task of OCR post-processing and ground-truth generation. This platform employs machine learning to predict the correct texts accurately from OCR noisy strings. The method used for this task involves transformers for character-based denoising language models. An active learning workflow is proposed, as the users can feed their corrections to the platform, generating new annotated data for re-training the underlying machine learning correction models. Sociedad Argentina de Informática e Investigación Operativa

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    Authors: Cardellino, Cristian; Alonso i Alemany, Laura;

    We present SuFLexQA, a system for Question Answering that integrates deep linguistic information from verbal lexica into Quepy, a generic framework for translating natural language questions into a query language. We are participating in the QALD-3 contest to assess the main achievements and shortcomings of the system. Sociedad Argentina de Informática e Investigación Operativa

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