The EVALITA Dependency Parsing Task: From 2007 to 2011

Bosco, Cristina; Mazzei, Alessandro

doi:10.1007/978-3-642-35828-9_1

Cited by 9 publications

(11 citation statements)

References 61 publications

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“…This result needs to be further investigated through other experiments, but it suggests that the treebank has currently reached an adequate size. It is moreover interesting to note the variation of the performance with respect to text genres, which is around the same in all the EPT editions and is confirmed also in the dependency parsing track [6]. The language of the Civil Law Code shows in all the analyzed EVALITA experiences scores higher than for the other text genres (e.g.…”

Section: Discussionsupporting

confidence: 57%

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Looking Back to the EVALITA Constituency Parsing Task: 2007-2011

Bosco

Mazzei

Lavelli³

2013

Lecture Notes in Computer Science

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Abstract. The aim of the EVALITA Parsing Task (EPT) is at defining and extending Italian state-of-the-art parsing by encouraging the application of existing models and approaches, comparing paradigms and annotation formats. Therefore, in all the editions, held respectively in 2007, 2009 and 2011, the Task has been organized around two tracks, namely Dependency Parsing and Constituency Parsing, exploiting the same data sets made available by the organizers in two different formats.This paper describes the Constituency Parsing Task assuming a historical perspective, but mainly focussing on the last edition held in 2011. It presents and compares the resources exploited for development and testing, the participant systems and the results, showing also how the resources and scores improved during the three editions of this contest.

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Section: Discussionsupporting

confidence: 57%

“…Finally, even if in 2011 they show a substantial improvement, the results for constituency parsing remain significantly lower than those achieved by applying dependency-based approaches (see [6]). …”

Section: Discussionmentioning

confidence: 92%

Looking Back to the EVALITA Constituency Parsing Task: 2007-2011

Bosco

Mazzei

Lavelli³

2013

Lecture Notes in Computer Science

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“…Over the years, many challenging tasks have been proposed with the aim of advancing stateof-the-art technologies in different NLP areas: to mention only a few, dependency parsing (Nivre et al, 2007), (Bosco and Mazzei, 2013), textual entailment (Bos et al, 2009), frame labeling (Basili et al, 2013) and cross-document event ordering , all requiring cutting-edge methods and techniques as well as innovative approaches.…”

Section: Discussionmentioning

confidence: 99%

Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015

Bosco¹,

Tonelli²,

Zanzotto³

2015

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CLiC-it 2015 is held in Trento on December 3-4 2015, hosted and locally organized by Fondazione Bruno Kessler (FBK), one the most important Italian research centers for what concerns CL. The organization of the conference is the result of a fruitful conjoint effort of different research groups (Università di Torino, Università di Roma Tor Vergata and FBK) showing the nationwide spreading of CL in Italy. As in the first edition, the main aim of the event is at establishing a reference forum on CL, covering all the aspects needed to describe the multi-faceted and cross-disciplinary reality of the involved research topics and of the Italian community working in this area. Indeed the spirit of CLiC-it is inclusive, in order to build a scenario as much as possible comprehensive of the complexity of language phenomena and approaches to address them, bringing together researchers and scholars with different competences and skills and working on different aspects according to different perspectives. The large number of researchers that have decided to present their work at CLiC-it and the number of directions here investigated are proof of the maturity of our community and a promising indication of its vitality. We received a total of 64 paper submissions, out of which 52 have been accepted to appear in the Conference Proceedings, which are available online and on the OpenEdition platform. Overall, we collected 129 authors from 15 countries.

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“…Indian languages [40] or German [44]), non-canonical variants of languages [54] as well as for morphologically rich languages [70]. EVALITA has organized dependency parsing tasks focusing on Italian since 2007 [16]. These campaigns fostered both the creation of dependency treebanks and the development of dependency parsers exploiting different approaches.…”

Section: Dependency Parsing -Dpmentioning

confidence: 99%

“…The EVENTI exercise is based on the EVENTI Annotation Guidelines 16 tualities following semantic and syntactic criteria so to facilitate temporal and factual reasoning [66].…”

Section: Data: Annotation and Preparationmentioning

confidence: 99%

State of the Art Language Technologies for Italian: The EVALITA 2014 Perspective

Attardi

Basile

Bosco

et al. 2015

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Abstract. Shared task evaluation campaigns represent a well established form of competitive evaluation, an important opportunity to propose and tackle new challenges for a specific research area and a way to foster the development of benchmarks, tools and resources. The advantages of this approach are evident in any experimental field, including the area of Natural Language Processing. An outlook on state-of-the-art language technologies for Italian can be obtained by reflecting on the results of the recently held workshop "Evaluation of NLP and Speech Tools for Italian", EVALITA 2014. The motivations underlying individual shared tasks, the level of knowledge and development achieved within each of them, the impact on applications, society and economy at large as well as directions for future research will be discussed from this perspective.

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The EVALITA Dependency Parsing Task: From 2007 to 2011

Cited by 9 publications

References 61 publications

Looking Back to the EVALITA Constituency Parsing Task: 2007-2011

Looking Back to the EVALITA Constituency Parsing Task: 2007-2011

Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015

State of the Art Language Technologies for Italian: The EVALITA 2014 Perspective

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