Generating Connectives

We present an implemented procedure to select an appropriate connective to link two propositions, which is part of a large text generation system. Each connective is defined as a set of constraints between features of fire propositions it connects. Our focus has been to identify pragmatic features that can be produced by a deep generator to provide a simple representation of connectives. Using these features, we can account for a variety of connective usages, and we can distinguish between similar connectives. We describe how a surface generator can produce complex sentences when given these features in input. The selection procedure is implemented as part of a large functional unification grammar

A Procedure for the Selection of Connectives: How Deep Is the Surface?

We present an implemented procedure to select an appropriate connective to link two propositions. Each connective is defined as a set of constraints between features of the propositions it connects. Our focus has been to identify pragmatic features that can be produced by a deep generator to provide a simple representation of connectives. Using these features, we can account for a variety of connective usages. We describe how a surface generator can produce complex sentences when given these features in input. The selection procedure is implemented as part of a large functional unification grammar

A Contrastive Study of Functional Unification Grammar for Surface Language Generation: A Case Study in Choice of Connectives

Language generation systems have used a variety of grammatical formalisms for producing syntactic structure and yet, there has been little research evaluating the formalisms for the specifics of the generation task. In our work at Columbia we have primarily used a unification based formalism, a Functional Unification Grammar (FUG) [Kay 79] and have found it well suited for many of the generation tasks we have addressed. Over the course of the past 5 years we have also explored the use of various off-the-shelf parsing formalisms, including an Augmented Transition Network (ATN) [Woods 701], a Bottom-Up Chart Parser (SUP) [Finin 84], and a Declarative Clause Grammar (DCG) [Pereira and Warren 80]. In contrast, we have found that parsing formalisms do not have the same benefits for the generation task

Exploring the Case for Truth and Reconciliation in Mental Health Services

Purpose The purpose of this paper is to explore the case for a truth and reconciliation (T&R) process in the context of mental health services. Design/methodology/approach The approach is a conceptual review of T&R approaches; a consideration of why they are important; and how they might be applied in the context of mental health services and psychiatry. First, the paper sets out a case for T&R in psychiatry, giving some recent examples of how this might work in practice. Then it outlines potential objections which complicate any simplistic adoption of T&R in this context. Findings In the absence of an officially sanctioned T&R process a grassroots reparative initiative in mental health services may be an innovative bottom-up approach to transitional justice. This would bring together service users, survivors and refusers of services, with staff who work/ed in them, to begin the work of healing the hurtful effects of experiences in the system. Originality/value This is the first paper in a peer-reviewed journal to explore the case for T&R in mental health services. The authors describe an innovative T&R process as an important transitional step towards accomplishing reparation and justice by acknowledging the breadth and depth of service user and survivor grievances. This may be a precondition for effective alliances between workers and service users/survivors. As a result, new forms of dialogic communication and horizontal democracy might emerge that could sustain future alliances and prefigure the social relations necessary for more humane mental health services

But What Do You Need To Produce a But?

We study the problem of appropriately generating connectives (e.g., 'but', 'because', 'since', 'however') in a discourse. We claim that connectives operate at the discourse level rather than the semantic level, and that they indicate pragmatic features of the units they connect. Therefore, in order to choose the appropriate connective, a surface generator must find in its input a set of pragmatic features that affect or are affected by the choice of a connective. We present such a set of features and show their role in a variety of examples of the connective 'but'

Why make the effort? Exploring Recovery College Engagement

Purpose - Whilst there is growing evidence to suggest that the Recovery College (RC) environment supports students towards their mental health recovery (Meddings et al., 2015b), students’ initial motivations for engagement, alongside factors that may hinder or support attendance, have yet to be exclusively explored. Design - All new RC students were invited to take part in a semi-structured interview three months following their enrolment. Four participants completed an interview which were later analysed using Thematic Analysis. Findings - Four themes emerged within analysis: Making the effort; Being “too unwell”; Friendly Environment and Glad I came. These are discussed alongside the literature, and it is proposed that whilst there is a substantial struggle involved in engagement with a RC, likely related to mental health and social factors, the RC environment, peer support and support of the tutors helps students to overcome the impact of this. Research limitations / implications - Due to the small sample size and exploratory stance of this study, additional research into the complexities around engagement with RCs is strongly recommended. Only students who had attended at least one RC course chose to participate in this study, therefore an under-researched population of non-attendees may provide a valuable contribution to further understanding. Originality / value - This is one of the first studies to qualitatively explore factors which may support, or hinder, initial and ongoing engagement with a RC. It is proposed that a greater understanding of these important issues could be used to increase RC accessibility and inclusion

Comparison of Surface Language Generators: A Case Study in Choice of Connectives

Language generation systems have used a variety of grammatical formalisms for producing syntactic structure and yet, there has been little research evaluating the formalisms for the specifics of the generation task. In our work at Columbia we have primarily used a unification based formalism, a Functional Unification Grammar (FUG) [Kay 79] and have found it well suited for many of the generation tasks we have addressed. Over the course of the past 5 years we have also explored the use of various off-the-shelf parsing formalisms, including an Augmented Transition Network (ATN) [Woods 70]. a Bottom-Up Chan Parser (BUP) [Finin 84], and a Declarative Clause Grammar (DCG) [Pereira & Warren 80]. In this paper, we identify the characteristics of FDG that we find useful for generation and contrast these with characteristics of the parsing formalisms and with other formalisms that are typically used for generation