نتایج جستجو برای: semantic meaning

تعداد نتایج: 172170  

Journal: :Brain research 2013
Stephen Politzer-Ahles Robert Fiorentino Xiaoming Jiang Xiaolin Zhou

The present study examines the brain-level representation and composition of meaning in scalar quantifiers (e.g., some), which have both a semantic meaning (at least one) and a pragmatic meaning (not all). We adopted a picture-sentence verification design to examine event-related potential (ERP) effects of reading infelicitous quantifiers for which the semantic meaning was correct with respect ...

In Construction Morphology (CM), a compound is treated as a construction at the word level with a systematic correlation between its form and meaning, in the sense that any change in the form is accompanied by a change in the meaning. Compound words are coined by compounding templates which are called abstract schemas in CM. These abstract constructional schemas generalize over sets of existing...

2008
Richard Johansson Pierre Nugues

Almost all automatic semantic role labeling (SRL) systems rely on a preliminary parsing step that derives a syntactic structure from the sentence being analyzed. This makes the choice of syntactic representation an essential design decision. In this paper, we study the influence of syntactic representation on the performance of SRL systems. Specifically, we compare constituent-based and depende...

1993
Eva Hajicová Petr Sgall Hana Skoumalová

An algorithm for automatic identification of topic and focus of the sentence is presented, based on dependency syntax and using written input, which is much more ambiguous than spoken utterance. 1. The dichotomy of topic and focus, based, in the Praguean Functional Generative Description, on the scale of communicative dynamism (underlying word order), is relevant not only for a possible placeme...

2009
Anders Björkelund Love Hafdell

This document gives a brief introduction to the topic of Semantic Role Labeling using Dependency Syntax. We also describe a system that has been developed and tested on a corpus from the CoNLL-20081 shared task. We evaluate the system and give a short discussion on further improvements. Our results are reasonably good compared to those reached during the shared task.

Journal: :Journal of Linguistics/Jazykovedný casopis 2019

Journal: :Higher Brain Function Research 2009

Journal: :Theory and Practice in Language Studies 2011

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