The Finnish Proposition Bank

Abstract

We present the Finnish PropBank, a resource for semantic role labeling (SRL) of Finnish based on the Turku Dependency Treebank whose syntax is annotated in the well-known Stanford Dependency (SD) scheme. The contribution of this paper consists of the lexicon of the verbs and their arguments present in the treebank, as well as the predicate-argument annotation of all verb occurrences in the treebank text. We demonstrate that the annotation is of high quality, that the SD scheme is highly compatible with PropBank annotation, and further that the additional dependencies present in the Turku Dependency Treebank are clearly beneficial for PropBank annotation. Further, we also use the PropBank to provide a strong baseline for automated Finnish & Filip Ginter

Character-Level Models versus Morphology in Semantic Role Labeling

“…We use the datasets distributed by LDC for Catalan (CAT), Spanish (SPA), German (DEU), Czech (CZE) and English (ENG) (Hajič et al, 2012b,a); and datasets made available by Haverinen et al (2015); Ş ahin and Adalı (2017) for Finnish (FIN) and Turkish (TUR) respectively 2 . Datasets are 1 Our implementation can be found at https:// github.com/gozdesahin/Subword_Semantic_ Role_Labeling 2 Turkish PropBank is based on previous efforts (Atalay et al, 2003;Sulubacak et al, 2016;Sulubacak and Eryigit, 2018;Ş ahin, 2016b…”

Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?

“…The PropBank annotation (Figure 5) has been applied to multiple languages: Arabic Proposition Bank (Zaghouani, Hawwari, and Diab 2012), Chinese Proposition Bank, which was added to the Chinese Treebank (Xue and Palmer 2009), Finnish Proposition Bank (Haverinen et al 2015), Hindi Proposition Bank (Vaidya et al 2011), Persian Proposition Bank (Mirzaei and Moloodi 2016), Proposition Bank of Brazilian Portuguese (Duran and Aluísio 2012), Turkish Proposition Bank (Sahin and Adali 2018), Proposition Bank for Urdu (Nomani et al 2016), and Basque Verb-Index (Estarrona, Aldezabal, and Díaz de Ilarraza 2018).…”

“…But the representation of the sentence is a general graph: Some nodes may participate in multiple predicate-argument structures, some in none. Some proposition banks are built on top of dependency treebanks, for example, the Finnish PropBank (Haverinen et al 2015). Nevertheless, the original English PropBank is defined over the constituent trees of the Penn Treebank, and arguments are phrases rather than individual words (see Figure 5); it is possible that the argument phrase contains other predicates and arguments.…”

VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling

“…This resource is the most widely adopted for SRL, as also attested by the popularity of datasets such as CoNLL-2005 (Carreras andMàrquez, 2005) and CoNLL-2009 (Hajič et al, 2009). PropBank's methodology was also used for other languages, such as Arabic (Palmer et al, 2008), Chinese (Xue and Palmer, 2003), Spanish and Catalan (Taulé et al, 2008), Hindi-Urdu (Bhatt et al, 2009), Brazilian Portuguese (Duran and Aluísio, 2011), Finnish (Haverinen et al, 2015), Turkish (Şahin and Adalı, 2018), Basque (Aldezabal et al, 2010), 1 "By the term 'frame' I have in mind any system of concepts related in such a way that to understand any one of them you have to understand the whole structure in which it fits." (Fillmore, 1982).…”