OBJECTIVE To explore attachment narratives in children diagnosed with reactive attachment disorder (RAD). METHOD We compared attachment narratives, as measured by the Manchester Child Attachment Story Task, in a group of 33 children with a diagnosis of RAD and 37 comparison children. RESULTS The relative risk (RR) for children with RAD having an insecure attachment pattern was 2.4 (1.4-4.2)...

Deterministic parsing has emerged as an effective alternative for complex parsing algorithms which search the entire search space to get the best probable parse tree. In this paper, we present an online large margin based training framework for deterministic parsing using Nivre’s Shift-Reduce parsing algorithm. Online training facilitates the use of high dimensional features without creating me...

When porting parsers to a new domain, many of the errors are related to wrong attachment of out-of-vocabulary words. Since there is no available annotated data to learn the attachment preferences of the target domain words, we attack this problem using a model of selectional preferences based on domainspecific word classes. Our method uses Latent Dirichlet Allocations (LDA) to learn a domain-sp...

Neural machine translation (NMT) models are able to partially learn syntactic information from sequential lexical information. Still, some complex syntactic phenomena such as prepositional phrase attachment are poorly modeled. This work aims to answer two questions: 1) Does explicitly modeling target language syntax help NMT? 2) Is tight integration of words and syntax better than multitask tra...

Neural machine translation (NMT) models are able to partially learn syntactic information from sequential lexical information. Still, some complex syntactic phenomena such as prepositional phrase attachment are poorly modeled. This work aims to answer two questions: 1) Does explicitly modeling target language syntax help NMT? 2) Is tight integration of words and syntax better than multitask tra...

Clinicians' own internal resources for understanding relationships--that is, their attachment organizations--have been found to influence the process and outcome of treatment. The current study addressed whether the attachment organizations of novice couple and family therapists were associated with couples' experiences of their therapists, therapeutic alliance, session impact, and emotionally ...

This paper is about the application of Machine Learning techniques to the prepositional-phrase attachment ambiguity problem. Since Machine Learning requires large amounts of training instances, the mixture of unsupervised and restricted supervised acquisition of such data will be also reported. Training was performed both on a subset of the content of the Gothenburg Lexical Database (GLDB), and...

introduCtion initial entry training Morbidity and attrition Hospitalization in aCtive duty enlistees existed-prior-to-serviCe disCHarges of enlistees disability disCHarges in aCtive duty enlistees Morbidity and attrition researCH early Hospitalization and subsequent attrition epts Case series reviews accuracy of initial entry training discharge Classification types (fort leonard Wood study) sur...