1,721,069 research outputs found
Preface to the Seventh Workshop on Natural Language for Artificial Intelligence (NL4AI)
No full textThe Natural Language for Artificial Intelligence (NL4AI) workshop, supported by the Special Interest Group on NLP of the Italian Association for Artificial Intelligence (AIxIA) and by the Italian Association of Computational Linguistics (AILC), aims at providing a broad overview of recent activities in the field of Human Language Technologies (HLT) in Italy. Since its first edition in 2017, the workshop has served as a platform for researchers to exchange experiences
and insights on research and applications at the intersection of Natural Language Processing (NLP) and Artificial Intelligence (AI). Like previous years, the current edition of the workshop was co-located within the International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), which took place on November 6–7th in Rome, Italy
ATE_ABSITA@EVALITA2020 Task
No full text***************************** TASK DESCRIPTION *********************************
In our challenge, we would like to propose three different annotation tasks regarding Aspect Term Extraction (ATE), Aspect Based Sentiment Analysis (ABSA), and sentence Sentiment Analysis (SA). Aspect Term Extraction (ATE) is the task of identifying an "aspect" in a text without knowing a priori the list that contains it. According to the literature definition, a term/phrase is considered as an aspect when it co-occurs with “opinion words” that indicate a sentiment polarity on it.
More details and examples are available at: http://www.di.uniba.it/~swap/ate_absita/examples.html
Aspect-based Sentiment Analysis (ABSA) is an evolution of Sentiment Analysis that aims at capturing the aspect-level opinions expressed in natural language texts. In the Aspect-based Sentiment Analysis (ABSA) task, the polarity of each expressed aspect is recognized. Sentiment Analysis (or Opinion Mining) is the task of identifying what the user thinks about a particular piece of text. In particular, it often takes the form of an annotation task with the purpose of annotating a portion of text with a positive, negative, or neutral label. In our Sentiment Analysis (SA) task, the polarity of the review is provided. In particular, we decided to use the score left by the user at the item as value of polarity. It is defined as an integer number into the range 1:5.
*************************** ATE ABSITA - EVALITA 2020 **************************
Contacts:
website: http://www.di.uniba.it/~swap/ate_absita/index.html
email: [email protected]
email: [email protected]
PLEASE CITE:
@InProceedings{ateabsita2020,
author = {Lorenzo de Mattei and Graziella de Martino and Andrea Iovine and Alessio Miaschi and Marco Polignano and Giulia Rambelli},
title = {{ATE\_ABSITA@EVALITA2020: Overview of the Aspect Term Extraction and Aspect-based Sentiment Analysis Task}},
booktitle = {{Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020)}},
editor = {Basile, Valerio and Croce, Danilo and Di Maro, Maria and Passaro, Lucia C.},
year = {2020},
publisher = {CEUR.org},
address = {Online}
EVALITA 2023: Overview of the 8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian
No full textEVALITA provides a shared framework for evaluating and comparing different Nautural Language Processing (NLP) and speech systems across various tasks suggested and organized by the Italian research community. These tasks represent scientific challenges and allow testing of methods, resources, and systems on shared benchmarks related to linguistic open issues and real-world applications, including considering multilingual and/or multi-modal perspectives. The EVALITA 2023 edition consisted of 13 different tasks grouped into four research areas: Affect, Authorship Analysis, Computational Ethics, and New Challenges in Long-standing Tasks. The participation saw 42 groups from 12 different countries, indicating an increasing international interest, partly due to the proposal of multilingual tasks. The final workshop showcases the results obtained and highlights the growing interest in using deep learning techniques based on Large Language Models as a new trend. Overall, EVALITA serves as a valuable platform for Italian and international researchers to explore NLP-related challenges, develop solutions, and foster discussions within the community
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Preface to the Sixth Workshop on Natural Language for Artificial Intelligence (NL4AI)
Full text linkNatural Language Processing (NLP) is an important research topic in Artificial Intelligence (AI), as it is the target of different scientific and industrial interests. Natural Language is at the crossroad of Learning, Knowledge Representation, and Cognitive Modeling. Several recent AI achievements have repeatedly shown their beneficial impact on complex inference tasks, with huge application perspectives in linguistic modeling, processing, and inferences. However, Natural Language Understanding is still a rich research topic, whose cross-fertilization spans
a number of independent areas such as Cognitive Computing, Robotics as well as HumanComputer Interaction. For AI, Natural Languages are the research focus of paradigms and applications but, at the same time, they act as cornerstones of automation, autonomy, and learnability for most intelligent phenomena ranging from Vision to Planning and Social Behaviors. A reflection about such diverse and promising interactions is an important target for current AI studies, fully in the core mission of AI*IA. This workshop, supported by the Special Interest Group on NLP of AI*IA1 and by the Italian Association of Computational Linguistics
(AILC)2, aims at providing a broad overview of recent activities in the eld of Human Language Technologies (HLT) in Italy. In this context, the organization of NL4AI 2021 [1] provided researchers with the opportunity to share experiences and insights about AI applications focused on NLP in several domains. The 2022 edition of NL4AI is co-located with the 21th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), taking place on November 30th in Udine, Italy. The program of the meeting is available on the official workshop
website3. We received 17 submissions, 14 of which were accepted after peer-review
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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