• Cross-Cultural Studies
• /
• v.52
• /
• pp.393-416
• /
• 2018

Negative Stripping Construction in English involves the disjunction but, the adverb not, and a constituent NP. This construction is an incomplete sentence although it delivers a complete sentential meaning. Interpretation of this construction may be ambiguous in that the constituent NP can either be construed as the subject, or as the complements including the object. To generate such sentences and resolve the issue of ambiguity, we propose a construction-based analysis under direct interpretation approach, rejecting previous analyses based on deletion approaches. In so doing, we suggest a negative stripping construction rule that can account for ambiguous meaning. This rule further can enable us to explain syntactic structures and readings of Negative Stripping Construction.

• Korean Journal of Cognitive Science
• /
• v.6 no.2
• /
• pp.97-116
• /
• 1995

This study was conducted to investigate how syntaction and pragmatic constraints influence the sentential representation and memory accessibility. In order to seperate the syntactic constraints from the pragmatic constraint from the pragmatic constraints,the syntactic role of constituent in the sentence (subject or object) and the order of mention(first or second) were manipulted.After each sentence was presented by RSVP procedure,the probe recognition time was measured to investigate memory accessibility.In Experiment 1,in which SOA interval was 255ms,it was found that the subject of a sentece were more accessible than the object and participants first in a sentence were more accessible than participants mentioned later.However, in Experiment 2,in which SOA interval was 1540ms,it was found that participants mentioned first in a sentence were more accessible than participants mentioned later while there was no significant difference between the subject and object of a sentece.These results suggest that the syntactic and pragmatic constraints have an independent effect on the initial senential representation at the early stage of constructing representation,but as time passes only the pragmatic constraints influence sentential representation.These results also support a theoretical position which assumes that sentential representation is constructed through the process of convergent statisfaction of multiple constraints.

• Journal of KIISE:Computing Practices and Letters
• /
• v.16 no.5
• /
• pp.531-540
• /
• 2010

In this paper, we present a two-phase shallow semantic parsing method based on a maximum entropy model. The first phase is to recognize semantic arguments, i.e., argument identification. The second phase is to assign appropriate semantic roles to the recognized arguments, i.e., argument classification. Here, the performance of the first phase is crucial for the success of the entire system, because the second phase is performed on the regions recognized at the identification stage. In order to improve performances of the argument identification, we incorporate syntactic knowledge into its pre-processing step. More precisely, boundaries of the immediate clause and the upper clauses of a predicate obtained from clause identification are utilized for reducing the search space. Further, the distance on parse trees from the parent node of a predicate to the parent node of a parse constituent is exploited. Experimental results show that incorporation of syntactic knowledge and the separation of argument identification from the entire procedure enhance performances of the shallow semantic parsing system.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.39 no.6
• /
• pp.11-23
• /
• 2002

Computational models up to now for Korean morphology have been linear in that it deal with only segmentation of morphemes rather than formation of the internal structure of a word. When integrating a linear computational model with syntax analysis, it requires an additional interface component between this model and the syntax to bind morphemes into sentence constituents. Furthermore the linear model is not semantically intuitive. In this paper, based on word-syntactical viewpoint, we propose an integrated computational model that deals with morpheme segmentation, formation of syntactic element (sentence constituent), and even internal structure of word. Formalism of two-level morphology is employed to cope with morpheme segmentation and alternation problems, and functional diacritics are proposed to incorporate categorial context into the two-level formalism. A modified GLR-based algorithm is also proposed to check syntactical constraint of morphemes.