| Hirst, G., DiMarco, C., Hovy, E.H. and Parsons, K. (1997) Authoring and generating health-education documents that are tailored to the needs of the individual patient. In Proceedings of the 6th International Conference on User Modeling , pp. 107--118, Chia Laguna, Sardinia, Italy. |
....instance) rather than one single monolithic document. Before the publisher can deal with this content, however, the content itself must be generated. Even if natural language processing is brought to bear to synthesize a variety of components for a specific context, such as the HealthDoc work [4], the multiple components to serve that synthesis must still be generated or retrieved from somewhere. Authors of adaptable and adaptive documents are responsible for writing a whole family of (admittedly related) documents. Because these documents themselves are hypertexts, this means that the ....
Hirst, Graeme, Chrysanne DiMarco, Eduard Hovy, and Kimberley Parsons, "Authoring and generating health-education documents that are tailored to the needs of the individual patient." In Anthony Jameson, Ccil Paris, and Carlo Tasso, (editors), User Modeling: Proceedings of the Sixth International Conference, UM97, (Chia Laguna, Sardinia, Italy), Springer, 1997, 107--118.
.... its behavior to each specific user (see [8, 10, 35] Adaptive systems have been designed and applied in different areas, such as intelligent tutoring [12, 15, 23, 28] access to information sources [40, 26, 16, 1, 18, 39, 49] electronic catalogues [42, 13, 38, 31, 20] health care assistance [29, 7, 17], information filtering and recommender systems [33, 4, 43, 6, 9, 5, 27, 21] These systems make use of different techniques as regards both user modeling and adaptation. For example, a model of a user can be generated after classifying her into stereotypical pre defined classes (as in [44] or ....
G. Hirst, C. DiMarco, E. Hovy, and K. Parsons. Authoring and generating health-education documents that are tailored to the needs of the individual patient. In Proc. 6th Conf. on User Modeling, pages 107--118, Chia Laguna, Italy, 1997.
....many systems are didactic and fail to tailor information to an individual specific needs [12] Personalization has already received attention in educational systems [3, 43] and many systems have been built for providing tailored information about diseases, medical records, etc. see inter alia [6, 4, 7, 8, 28, 15]) Such systems typically have a knowledge base consisting of medical information, which is generally a description of medical terminology, and, when the explanation is tailored to the individual, clinical information about the user patient who interacts with the system. This is in general ....
G. Hirst, C. DiMarco, E. Hovy, and K. Parsons, `Authoring and Generating Health-Education Documents that are Tailored to the Needs of the Individual Patient', in User Modeling - Proceedings of the 6th International Conference, eds., A. Jameson, C. Paris, and C. Tasso, pp. 107--118. SpringerWien, (1997).
....of the link level, i.e. the navigation structure, and the personalization of the content level, i.e. the information to be presented [7] Some researchers, like [8] have focused on the dynamic adaptation of the hypertextual structure to users with different backgrounds. Others, like [16] 17] [12], 9] and [10] have focused on the dynamic generation of text tailored to the user. Some recent applications are also focused on the generation of personalized presentations exploiting life like characters [1] Although, as mentioned in section 1, e commerce has strong adaptivity demands, it ....
G. Hirst, C. DiMarco, E. Hovy, and K. Parsons. Authoring and generating health-education documents that are tailored to the needs of the individual patient. In Proc. 6th Conf. on User Modeling, pages 107--118, Chia, Italy, 1997, http://www.cs.usask.ca/UM99/w4.shtml.
....The most significant exception was Komet ( BT95, TB94] 3 See figures 2 and 3 for individual references to systems. System GIST [Con96, PC96] Drafter [PVF 95] Drafter2 [PS98, SPE98] Pat Claim [SN96] Joyce [KKR91, Ram] ModEx [LRR97, LR97] Exclass [CK94] HealthDoc [DHW95, HDHP97] Ghostwriter [MCM96, Cer96] Content Determination User interface Strategic planner User interface Strategic planner Authoring tool Authoring module Text planner Text planner Text planner Job desc builder Authoring tool Selection of content Text planner Sentence ....
G. Hirst, C. DiMarco, E. Hovy, and K. Parsons. Authoring and generating health-education documents that are tailored to the needs of the individual patient. In Proceedings of the 6th International Conference on User Modeling, Italy, June 1997.
....at the particular patient s problems and interests (Marshall et al. 1984) There is therefore significant interest in using computers to produce more tailored, individualised communications, either written (Osman et al. 1994; Strecher et al. 1994; Campbell et al. 2 A. CAWSEY et al. 1994; Hirst et al. 1997) or interactive (Buchanan et al. 1995; Jimison et al. 1992; McRoy et al. 1998) The aim of these communications may either be primarily health promotion (encouraging a particular behaviour change) or health education (providing information to enable the patient to better cope with a ....
.... et al. 1994) However, it is also recognised that simple mail merge techniques are unwieldy, can produce incoherent texts, and tend not to generalise well, so there are ongoing projects attempting to develop systems which exploit natural language generation techniques to develop such materials (Hirst et al. 1997; Reiter and Osman, 1997) Language generation techniques have also been used in some systems that produce personalised interactive health information systems. Most notable is the Migraine system (Buchanan et al. 1995) developed to provide information for sufferers of Migraine. This system used ....
Hirst, G., C. DiMarco, E. Hovy, and K. Parsons: 1997, `Authoring and generating healtheducation documents that are tailored to the needs of the individual patient'. In: A.
....the navigation task and the description of the information items to be presented (Brusilovsky, 1996) Some researchers, like Calvi (1997) have focused on the dynamic adaptation of the hypertextual structure to users with different backgrounds. Others, like Milosavljevic et al. 1996) and Hirst et al. 1997), have focused on the dynamic generation of text tailored to the system s user. However, an analysis of the electronic sales reveals other issues to be faced in an on line store: e.g. the user should be assisted while browsing the catalog and selecting items to purchase; the system should keep ....
Hirst, G., DiMarco, C., Hovy, E., and Parsons, K. (1997). Authoring and generating health-education documents that are tailored to the needs of the individual patient. In Proceedings of the Sixth Conference on User Modeling, 107--118.
....realiser. Referring expression generation is not performed in any real sense, all referring expressions being always generic or proper . There is no use of centering or salience. CD SP SR Job description builder ffl ffl Job description generator ffl 3. 6 HealthDoc HealthDoc ( DHW95] DHH97] HDHP97] HW96] Par97] WH96] Wil95] is an unusual system in that it does not do generation of language from another mode, but rather selects and repairs existing text parts. The input to HealthDoc is a full natural language text, which (allegedly) contains every piece of information which could ....
G. Hirst, C. DiMarco, E. Hovy, and K. Parsons. Authoring and generating health-education documents that are tailored to the needs of the individual patient. In Proceedings of the 6th International Conference on User Modeling, Italy, June 1997.
....It is not explicit mentioned in Fig. 3, but its role can be represented by the dashed lines between the various components. 7 Related Research This work lays in the well established tradition of informative advice giving system in health care. However, most of the current systems in this domain [5, 2, 21] stress the representation of informative rather than argumentative goals, especially because they are mostly concerned with patient education, rather than general health promotion. In [11] an attempt is made to study the argumentative nature of medical dialogues, although the solutions proposed ....
G. Hirst, C. DiMarco, E. Hovy, and K. Parsons, `Authoring and Generating Health-Education Documents that are Tailored to the Needs of the Individual Patient', in User Modeling - Proceedings of the 6th International Conference UM97, eds., A. Jameson, C. Paris, and C. Tasso, pp. 107--118. SpringerWien, (1997).
.... in a number of areas: generating explanations, advice and critiques in medical expert systems [11, 12, 13, 14, 15, 16, 17, 18] generating reports, briefings, progress notes and discharge letters for health professionals [19, 20, 21, 22, 23] and generating explanatory materials for patients [24, 25, 26, 27, 28]. This review considers each of these areas, considering the applicability of different language generation techniques in each. 3.1 Generating Expert System Explanations and Critiques If the recommendations of an expert system or decision support system are to be understood and assessed by ....
....the prescription) so authoring or adapting a knowledge base was not required. OPADE also attempted to address the problem of the potential conflict between what the doctor wants to communicate and what the patient wants to know [49] The most recent project in this area is the HealthDoc project [28]. HealthDoc takes an unusual approach to text generation. Rather than generating text from a knowledge base, HealthDoc starts with a master document. Generation involves selecting from this master document, and repairing the result to produce a coherent document. For example, when material is cut ....
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Hirst G, DiMarco C, Hovy E, Parsons K. Authoring and generating health-education documents that are tailored to the needs of the individual patient. Proceedings of the Sixth International Conference on User Modeling, Sardinia, Italy, 1997, 107-118.
....goal is tell everything that is in this knowledge base , the bottom up approach also enables a simple solution to the problem of generating text plans that satisfy multiple communicative goals. The bottom up text planning algorithms were incorporated into HealthDoc [ DiMarco et al. 1997, Hirst et al. 1997 ] a natural language system that generates texts that are tailored to particular audiences. Conclusions In the last chapter, I critically review the main contributions of the thesis and point to future research directions. The constraint satisfaction algorithm for deriving text structures ....
....Moore and Paris, 1993, Meteer, 1992, Moore, 1995 ] and derive the set of rhetorical relations that hold between every pair of semantic units. For very rich KBs, such as that used in the HealthDoc Project [ Wanner and Hovy, 1996, Hovy and Wanner, 1996, DiMarco and Foster, 1997, DiMarco et al. 1997, Hirst et al. 1997 ] one can simply extract these relations directly, because they are explicitly represented. Each of the alternatives described above has been already discussed in the literature to a greater or lesser extent. Therefore, for the purpose of this thesis, I will simply assume that the input for a ....
[Article contains additional citation context not shown here]
Graeme Hirst, Eduard Hovy, Chrysanne DiMarco, and Kimberley Parsons. Authoring and generating health-education documents that are tailored to the needs of the individual patient. In Proceedings of the Sixth International Conference on User Modeling, Sardinia, Italy, June 1997.
No context found.
Hirst, G., DiMarco, C., Hovy, E.H. and Parsons, K. (1997) Authoring and generating health-education documents that are tailored to the needs of the individual patient. In Proceedings of the 6th International Conference on User Modeling , pp. 107--118, Chia Laguna, Sardinia, Italy.
No context found.
G. Hirst, C. DiMarco and L. Wanner, "Authoring and Generating Health-education Documents that are Tailored to the Needs of the Individual Patient". In: Jameson A, Paris C, and Tasso C eds. Proc. of the 6 th Intl. Conf. on User Modeling, Springer Verlag, 1998, pp. 107-118.
No context found.
Graeme Hirst, Chrysanne DiMarco, Eduard Hovy, and Kimberley Parsons. Authoring and generating healtheducation documents that are tailored to the needs of the individual patient. In Anthony Jameson, Cecile Paris, and Carlo Tasso, editors, User Modeling: Proceedings of the Sixth International Conference, UM97, pages 107--118. Springer Wien New York, Vienna, 1997.
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