From PropBank to EngValLex: Adapting the PropBank-Lexicon to the Valency Theory of the Functional Generative Description (original) (raw)
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An essential component of Language Engineering (LE) tools are verb class descriptors that provide information about the relations of the predicates to their arguments. The production of computationally tractable language resources necessitates the assignment of types of predicate-argument relations to a great variety of verb-centered structures: it is necessary to define not only the initial, canonical valency frame of a great number of verb lexemes, but also the diathesis alternations, which reflect the real-life usage of verbs. This paper describes the implementation of descriptors of the valency properties of Bulgarian verbs used in the production of a syntactic treebank of Bulgarian. The descriptors are based on available LE resources for Bulgarian: a verb subcategorization model implemented in the lexical data base that is used; a chunk grammar that recognizes verb form patterns. Predictive models are built and applied in a grammar that annotates grammatical relations inferred from the combination of morphosyntactic and shallow syntactic processing cues. The real significance of this particular processing is the resolution, in relation to the valency properties of many verbs, of the discrepancy or the contradiction between the verb lexicon specifications and the verb syntagmatic realization.
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Proceedings of the 12th Workshop on Multiword Expressions, 2016
This paper describes results of a study related to the PARSEME Shared Task on automatic detection of verbal Multi-Word Expressions (MWEs) which focuses on their identification in running texts in many languages. The Shared Task's organizers have provided basic annotation guidelines where four basic types of verbal MWEs are defined including some specific subtypes. Czech is among the twenty languages selected for the task. We will contribute to the Shared Task dataset, a multilingual open resource, by converting data from the Prague Dependency Treebank (PDT) to the Shared Task format. The question to answer is to which extent this can be done automatically. In this paper, we concentrate on one of the relevant MWE categories, namely on the quasi-universal category called "Inherently Pronominal Verbs" (IPronV) and describe its annotation in the Prague Dependency Treebank. After comparing it to the Shared Task guidelines, we can conclude that the PDT and the associated valency lexicon, PDT-Vallex, contain sufficient information for the conversion, even if some specific instances will have to be checked. As a side effect, we have identified certain errors in PDT annotation which can now be automatically corrected.
The Functional Grammar Knowledge Base (FunGramKB), (Periñán-Pascual and Arcas-Túnez 2010) is a multipurpose lexico-conceptual knowledge base designed to be used in different Natural Language Processing (NLP) tasks. It is complemented with the ARTEMIS (Automatically Representing Text Meaning via an Interlingua–based System) application, a parsing device linguistically grounded on Role and Reference Grammar (RRG) that transduces natural language fragments into their corresponding grammatical and semantic structures. This paper unveils the different phases involved in its parsing routine, paying special attention to the treatment of argumental constructions. As an illustrative case, we will follow all the steps necessary to effectively parse a For-Benefactive structure within ARTEMIS. This methodology will reveal the necessity to distinguish between Kernel constructs and L1-constructions, since the latter involve a modification of the lexical template of the verb. Our definition of L1-constructions leads to the reorganization of the catalogue of FunGramKB L1-constructions, formerly based on Levin's (1993) alternations. Accordingly, a rearrangement of the internal configuration of the L1-Constructicon within the Grammaticon is proposed.