Details on using tpc_subcat_inductive webservice for Spanish Sample Clauses

Details on using tpc_subcat_inductive webservice for Spanish. In order to perform the SCF acquisition for Spanish, UPF has used the language independent web service developed in UCAM. This web service takes a parsed text and extracts statistics about the occurrences of verbs with a number of particular complements. The type of complements is previously stated by tuning a set of parameters. Here we present the parameters used to develop the Spanish SCF lexicon. The parameters required by the SCF extractor include information about the output of the parser (PoS tag set, label of the complements) and on which kind of complements we want the SCF extractor to capture (e.g. direct object, indirect object, etc). In order to extract SCF from corpus, first of all we need to create a parsed corpus. For Spanish, we used the Spanish Malt parser PANACEA web service. This instance of Malt, uses FreeLing PoS tags, this is, the EAGLES tag set. Regarding complement labels, it uses 27 function labels, from which 12 are selected for the SCF extractor (those related to syntactic functions other than modifiers) as we will see below. For more information about the Spanish parser output, see the Spanish Malt parser PANACEA web service documentation1. In order to extract SCFs for Spanish, we needed to define which complement labels and PoS tags it was necessary to extract. We selected this information according to the information encoded in the gold-standard2 (Necsulescu et al., 2011) which encodes verb frames by position in a list and information about the syntactic category of the possible fillers: whether they can be a noun phrase, a clause, a prepositional phrase, etc. From the parsed corpus, we needed to identify the syntactic functions we wanted to extract and some information about the PoS tag in order to know which kind of clause realizes the complement. In the following table we present the information present in the gold-standard and how we can obtain it from a parsed corpus. np Direct Object (DO) or Subject (SUBJ) noun, pronoun cp verb in infinitive or relative pronoun (that introduces a relative clause) ppa Indirect Object (IO) pp Oblic complement (OBLC): the complement has a bounded preposition Child of the preposition to determine the realisation of the pp (np, cp, etc) Lemma of the preposition to get the bounded preposition Loc or Dir complement (PP-LOC, PP-DIR) Child of the preposition to determine the realisation of the pp (np, cp, etc) Predicative complements (PRD or OPRD) preposition 1 xxxx://xxxxxxxx.xxxx.org/services/24...
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