Methodology and steps towards the construction of EPEC, a corpus of written Basque tagged at morphological and syntactic levels for automatic processing

Aduriz, Itziar; Aranzabe, Maxux; Arriola, Jose Maria; Atutxa, Atziber; Ilarraza, Arantza Díaz de; Ezeiza, Nerea; Gojenola, Koldo; Oronoz, Maite; Soroa, Aitor; Urizar, Ruben

doi:10.1163/9789401202213_002

Cited by 15 publications

(11 citation statements)

References 7 publications

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“…3 Annotated Corpus of Basque EPEC (Reference Corpus for the Processing of Basque) (Aduriz et al, 2006) is a 300,000 word sample collection of standard written Basque that has been manually annotated at different levels (morphology, surface syntax, phrases, etc.). The corpus is composed by news published in Euskaldunon Egunkaria, a Basque language newspaper.…”

Section: Related Workmentioning

confidence: 99%

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Coreference Resolution for the Basque Language with BART

Soraluze

Arregi

et al. 2016

Proceedings of the Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2016)

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In this paper we present our work on Coreference Resolution in Basque, a unique language which poses interesting challenges for the problem of coreference. We explain how we extend the coreference resolution toolkit, BART, in order to enable it to process Basque. Then we run four different experiments showing both a significant improvement by extending a baseline feature set and the effect of calculating performance of hand-parsed mentions vs. automatically parsed mentions. Finally, we discuss some key characteristics of Basque which make it particularly challenging for coreference and draw a road map for future work.

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Section: Related Workmentioning

confidence: 99%

“…For our experiments we use the EPEC corpus annotated for coreference (Aduriz et al, 2006) and we run experiments across two dimensions. First, we use a baseline model based on (Soon et al, 2001) vs. a model that includes extra features reliably extracted for Basque with the tools at hand.…”

Section: Introductionmentioning

confidence: 99%

Coreference Resolution for the Basque Language with BART

Soraluze

Arregi

et al. 2016

Proceedings of the Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2016)

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“…The corpus used to carry out the error analysis is a part of EPEC (the Reference Corpus for the Processing of Basque) (Aduriz et al, 2006). EPEC is a 300,000 word sample collection of news published in Euskaldunon Egunkaria, a Basque language newspaper.…”

Section: Error Analysismentioning

confidence: 99%

Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017)

Ogrodniczuk¹,

Ng²

2017

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ii IntroductionMany NLP researchers, especially those not working in the area of discourse processing, tend to equate coreference resolution with the sort of coreference that people did in MUC, ACE, and OntoNotes, having the impression that coreference is a well-worn task owing in part to the large number of papers reporting results on the MUC/ACE/OntoNotes corpora. This is an unfortunate misconception: the previous SemEval 2010 and CoNLL 2012 shared tasks on coreference resolution have largely focused on entity coreference, which constitutes only one of the many kinds of coreference relations that were discussed in theoretical and computational linguistics in the past few decades. In fact, by focusing on entity coreference resolution, NLP researchers have only scratched the surface of the wealth of interesting problems in coreference resolution.The decision to focus on entity coreference resolution was initially made by information extraction (IE) researchers when coreference was selected as one of the tasks in the MUC-6 coreference in 1995. Many interesting kinds of coreference relations, such as bridging and reference to abstract entities, were left out not because they were not important, but because "it was felt that the menu was simply too ambitious". It turned out that this decision had an important consequence: the progress made in coreference research in the past two decades was largely driven by the availability of coreferenceannotated corpora such as MUC, ACE, and OntoNotes, where entity coreference was the focus.Being aware of other fora gathering coreference-related papers (such as LAW, DiscoMT or EVENTS), in 2016 we started a new workshop on the single topic of knowledge-oriented coreference resolution under the name of Coreference Resolution Beyond OntoNotes (CORBON) that would bring together researchers who were interested in under-investigated coreference phenomena, willing to contribute both theoretical and applied computational work on coreference resolution, especially for languages other than English, less-researched forms of coreference and new applications of coreference resolution.The success of the first edition of the workshop (held in conjunction with NAACL HLT 2016 in San Diego, USA) and our intention to verify the role of the Europe-based researchers in the field encouraged us to organise the second edition of the workshop in conjunction with EACL 2017 in Valencia, Spain. Our call attracted 12 submissions (nine from European research institutions and three from India). We are pleased to see that the submissions covered not only a variety of less-studied languages in the coreference community (e.g., Basque, French, German, Polish, Portuguese, Russian, and Tamil) but also many under-investigated topics in coreference resolution (e.g., feature representation, the use of semantics and deep syntax for coreference resolution, difficult cases of anaphora, and the use of coreference chains in high-level natural language applications). Each submission was rigorously reviewed by three to five ...

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“…Lehen euskarazko corpusa [3] CoNLL-X formatura egokitu zen, dependentzietan oinarritutako analizatzaile sintaktiko-sortzaileek erabili ahal izateko. Egokitzapenaren ondoren, 55.469 hitz eta 3.700 esaldikoa den CoNLL-X formatuko lehen euskarako zuhaitz-bankua lortu zen (hemendik aurrera EZB I zuhaitz-bankua izenaz ezagutuko dena).…”

Section: Euskararako Analizatzaile Sintaktiko-estatistikoa Hobetzeko unclassified

Euskararako analizatzaile sintaktiko estatistikoa hobetzeko teknikak

Bengoetxea

Gojenola²

2016

EKAIA

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Laburpena: honetan euskararako analizatzaile sintaktiko-estatistikoen emaitzak hobetzeko helburuarekin egindako esperimentu-multzoa aurkezten da. Lan honetan teknika ez-berdinak aztertzen dira: i) zuhaitz-transformazioak, ii) analizatzaileen pilaketa, eta iii) analizatzaile-modelo desberdinen irteeren konbinazioa. Emaitza guztiak zuhaitzbankutik zuzenean hartutako urre-patroiko ezaugarri morfosintaktikoak erabiliz eta analisi morfologiko eta desanbiguatze-moduluetatik hartutako ezaugarri morfosintaktiko automatikoak erabiliz egin dira.Hitz gakoak: Dependentzietan oinarritutako analisia, Analisi morfologikoa eta desanbiguazioa, Analizatzaile sintaktikoen konbinazioa.Abstract: This paper presents a set of experiments to improve the results of the statistical syntactic analyzers for Basque. The present work has examined different techniques: i) tree transformations, ii) stacking, and iii) combinations of the output of several parsers. All the results have been obtained using gold morphosyntactic tags coming directly from the treebank and using automatic mophosyntactic tags coming from morphological analysis and disambiguation module.

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Methodology and steps towards the construction of EPEC, a corpus of written Basque tagged at morphological and syntactic levels for automatic processing

Cited by 15 publications

References 7 publications

Coreference Resolution for the Basque Language with BART

Coreference Resolution for the Basque Language with BART

Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017)

Euskararako analizatzaile sintaktiko estatistikoa hobetzeko teknikak

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