The Use of Knowledge Preconditions in Language Processing

If an agent does not possess the knowledge needed to perform an action, it may privately plan to obtain the required information on its own, or it may involve another agent in the planning process by engaging it in a dialogue. In this paper, we show how the requirements of knowledge preconditions can be used to account for information-seeking subdialogues in discourse. We first present an axiomatization of knowledge preconditions for the SharedPlan model of collaborative activity (Grosz & Kraus, 1993), and then provide an analysis of information-seeking subdialogues within a general framework for discourse processing. In this framework, SharedPlans and relationships among them are used to model the intentional component of Grosz and Sidner's (1986) theory of discourse structure.Comment: 7 pages, LaTeX, uses ijcai95.sty, postscript figure

Cognition and Rhetoric in English Language Learners' Writing: A Developmental Study

The present study examined the effectiveness of an instructional method in English language writing. The instruction concerned a cognitive process, i.e., Bereiter and Scardamalias (1987) knowledge-transforming, and a discourse genre, i.e., the Toulmin (1958/2003) model of argument. The instruction in the process is significant since generating discourse content was identified as a problem for novice writers. The instruction in the Toulmin model is significant since lack of attention to genre was identified as a problem in cognitive approaches to writing. To teach and research knowledge-transforming composing and the Toulmin model, the tenets of cognitive strategy instruction in writing and sociocultural theory of mind were adopted. Instruction was adopted after Scardamalia, Bereiter, and Steinbach (1984) and had three components: explicit strategy instruction in the Toulmin model, mediation of the writing process through artefacts, and two types of verbalization: (focused) freewriting and languaging. The study had a mixed-methods design with a quasi-experimental quantitative component and a qualitative component consisting of textual analysis, dynamic assessment (DA), semi-structured interviews, and surveys. The results indicated statistically significant gains for two of the categories of the Toulmin model, i.e., rebuttal and response to rebuttal, in the texts generated by the experimental group (EG) (n = 13) when compared with those of the comparison group (n = 13). Specifically, the gains suggested the rise above conflict criterion (Scardamalia et al., 1984) in knowledge-transforming, indicating the effectiveness of instruction. When four participants texts in EG group were analyzed developmentally, they also demonstrated knowledge-transforming and improved rhetorical structure. In particular, some discourse features which were absent in the posttest essays were indeed present in those texts. Also, the text analysis indicated the participants were able to use the mediational artefacts to generate discourse content. The DA results indicated that, with varying degrees of mediation, the participants were able to name, generate, and/or revise the discourse features, some of which were absent in the participants posttest essays. The interviews and surveys indicated the participants positive perceptions of instruction and its effect on cognitive change and rhetorical structure of argumentative texts. The study has implications for L2 academic writing instruction, assessment, and research

Critical success factors influencing performance outcome of joint venture construction projects in South Africa: Comparison of first and second order models

Joint ventures (JVs) have become increasingly common, because of the complexity and challenges associated with the delivery of construction projects globally and in South Africa. However, it has been established that JV projects have experienced unsatisfactory performance leading to clients’ dissatisfaction. The purpose of this paper is therefore to determine the critical success factors (CSFs) influencing the performance of JV construction projects in South Africa. A positivist philosophy position was adopted using a structured questionnaire survey administered to the construction professionals. Prior to the main study, a content validity of the questionnaire was achieved using a pilot study. The data was collected from 115 conveniently sampled respondents, and analysed using principal component analysis and multiple regression analysis. The exploratory factor analysis revealed two empirical models to be tested; namely the first and second order factor models. The result of the first order model revealed that, management control influenced achievement of project objective of JV, whereas, the second order model established that understanding of contractual agreement, which was explained by six components of CSFs influenced achievement of project objective. It is suggested that stakeholders who prefer to be involved in JV projects should acquire good understanding of the contractual agreement in managing JV projects in order to successfully achieve the project objectives. This study adds to the discourse and literature on CSFs of JVs. It provides new empirical evidence of the CSFs that influence project performance outcome of JV in the context of South Africa which can also be replicated in other countries globally. However, the study may not be generalised because of the geographical setting and respondents

Communicative constructions of person-centred and non-person-centred caring in nurse-led consultations

Purpose Nursing is theorised to be a component of person-centred care. Communicative constructions of person-centred caring are a topic that needs to be studied in consultations. The study aimed to explore how person-centred caring and non-person- centred caring are verbally constructed in consultations between patients and nurse. Method This study was qualitative using audio-recorded observations from consultations with advanced nurse practitioners in nurse-led chemotherapy clinics from four hospitals in the UK through purposive sampling. Discourse analysis was used to identify communicative patterns in 45 non-participant observations of nurse consultations. Results The dominant discourse was a non-person-centred oriented discourse framed by the biomedical model. It was also possible to identify fragments of an alternative discourse—a person-oriented discourse localising health problems within the patient's personal and sociocultural context. Conclusions The prominent use of a non-person-oriented discourse focusing on the medical/technical aspects of a patient's assessment/evaluation in consultations may make it difficult for patients to raise questions and concerns from their daily lives during consultations. However, fragments of a person-oriented discourse show that it is possible for nurses to allow a person-centred approach to the consultation. The pedagogical implications have to do with raising nurses' awareness of the role of evaluative language in enhancing person-centred communication with patients in clinical interactions

Incorporating a User Model to Improve Detection of Unhelpful Robot Answers

Dialogues with robots frequently exhibit social dialogue acts such as greeting, thanks, and goodbye. This opens the opportunity of using these dialogue acts for dialogue management, in particular for detecting misunderstandings. Our corpus analysis shows that the social dialogue acts have different scopes of their associations with the discourse features within the dialogue: greeting in the user’s first turn is associated with such distant, or global, features as the likelihood of having questions answered, persistence, and ending with bye. The user’s thanks turn, on the other hand, is strongly associated with the helpfulness of the preceding robot’s answer. We therefore interpret the greeting as a component of a user model that can provide information about the user’s traits and be associated with discourse features at various stages of the dialogue. We conduct a detailed analysis of the user’s thanking behavior and demonstrate that user’s thanks can be used in the detection of unhelpful robot’s answers. Incorporating the greeting information further improves the detection. We discuss possible applications of this work for human-robot dialogue management.

Parsing Argumentation Structures in Persuasive Essays

In this article, we present a novel approach for parsing argumentation structures. We identify argument components using sequence labeling at the token level and apply a new joint model for detecting argumentation structures. The proposed model globally optimizes argument component types and argumentative relations using integer linear programming. We show that our model considerably improves the performance of base classifiers and significantly outperforms challenging heuristic baselines. Moreover, we introduce a novel corpus of persuasive essays annotated with argumentation structures. We show that our annotation scheme and annotation guidelines successfully guide human annotators to substantial agreement. This corpus and the annotation guidelines are freely available for ensuring reproducibility and to encourage future research in computational argumentation.Comment: Under review in Computational Linguistics. First submission: 26 October 2015. Revised submission: 15 July 201

Who Wrote This?: Modern Forensic Authorship Analysis as a Model for Valid Forensic Science

The forensic analysis of a text in order to determine its authorship has, for decades, been accomplished by forensic linguists. These experts are trained in the science of linguistics, and have often applied their specialized expertise in sociolinguistics, discourse analysis, and pragmatics. Although the range of applications for forensic linguistics is extremely wide, this Article will focus only on the authorship attribution application. Herein, we maintain that reliability is an essential component of pattern comparison forensic practices, that testing for validity and measuring of error rates are the Daubert factors that best guarantee reliability, and that the practices of authorship attribution can be an effective model of how to carry out this testing

Argumentation Mining in User-Generated Web Discourse

The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We bridge the gap between normative argumentation theories and argumentation phenomena encountered in actual data by adapting an argumentation model tested in an extensive annotation study. (iii) We create a new gold standard corpus (90k tokens in 340 documents) and experiment with several machine learning methods to identify argument components. We offer the data, source codes, and annotation guidelines to the community under free licenses. Our findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task.Comment: Cite as: Habernal, I. & Gurevych, I. (2017). Argumentation Mining in User-Generated Web Discourse. Computational Linguistics 43(1), pp. 125-17

Модель структурно-функціонального аналізу компонента ACKNOWLEDGEMENTS в сучасному англомовному науковому дискурсі

Дана стаття розпочинає серію досліджень дискурсивного компонента ACKNOWLEDGEMENTS у сучасному англомовному дискурсі різних жанрів, зокрема, фокусується функціонування компонента ACKNOWLEDGEMENTS у науковому дискурсі, що аналізується на прикладі наукової статті та дисертації з метою встановлення його структурних, прагмадискурсивних та лінгвокультурних характеристик. У статті запропоновано модель структурно-функціонального аналізу компонента ACKNOWLEDGEMENTS, що має трирівневу структуру – структурний, семантичний та функціональний рівні, кожен з яких проаналізовано за відповідними критеріями. Данная статья начинает серию исследований дискурсивного компонента ACKNOWLEDGEMENTS в современном англоязычном дискурсе разных жанров, в частности, фокусируется функционирование компонента ACKNOWLEDGEMENTS в научном дискурсе, анализируемом на примере научной статьи и диссертации с целью установления его структурных, прагмадискурсивных и лингвокультурных характеристик. В статье предложена модель структурно-функционального анализа компонента ACKNOWLEDGEMENTS, имеющая трехуровневую структуру – структурный, семантический и функциональный уровни, каждый из которых проанализирован по соответствующим критериям. This research starts a series of papers on the discursive component of ACKNOWLEDGEMENTS in the modern contemporary Angloamerican discourse of various genres, the functioning of ACKNOWLEDGEMENTS in the scientific discourse being primarily focused within the framework of the research article and the thesis with the aim of establishing its structural, pragma-discursive and linguocultural characteristics. The paper presents a three-level model of the structural-functional analysis of the ACKNOWLEDGEMENTS component (structural, semantic and functional levels), each of the levels being analyzed according to the respective criteria

Polarization of coalitions in an agent-based model of political discourse

Political discourse is the verbal interaction between political actors in a policy domain. This article explains the formation of polarized advocacy or discourse coalitions in this complex phenomenon by presenting a dynamic, stochastic, and discrete agent-based model based on graph theory and local optimization. In a series of thought experiments, actors compute their utility of contributing a specific statement to the discourse by following ideological criteria, preferential attachment, agenda-setting strategies, governmental coherence, or other mechanisms. The evolving macro-level discourse is represented as a dynamic network and evaluated against arguments from the literature on the policy process. A simple combination of four theoretical mechanisms is already able to produce artificial policy debates with theoretically plausible properties. Any sufficiently realistic configuration must entail innovative and path-dependent elements as well as a blend of exogenous preferences and endogenous opinion formation mechanisms