Collective Referential Intentionality in the Semantics of Dialogue

The concept of a dialogue is considered in general terms from the standpoint of its referential presuppositions. The semantics of dialogue implies that dialogue participants must generally have a collective intentionality of agreed-upon references that is minimally sufficient for them to be able to disagree about other things, and ideally for outstanding disagreements to become clearer at successive stages of the dialogue. These points are detailed and illustrated in a fictional dialogue, in which precisely these kinds of referential confusions impede progress in shared understanding. It is only through a continuous exchange of question and answer in this dialogue case study that the meanings of key terms and anaphorical references are disambiguated, and a relevantly complete collective intentionality of shared meaning between dialogue participants is achieved. The importance of a minimally shared referential semantics for the terms entering into reasoning and argument in dialogue contexts broadly construed cannot be over-estimated. Where to draw the line between referential agreement and disagreement within any chosen dialogue, as participants work toward better mutual understanding in clearing up referential incongruities, is sometimes among the dialogue’s main points of dispute.

Being Open, Being Faithful: The Journey of Interreligious Dialogue

What does Christian identity mean in the face of religious pluralism? In some ways, the frontier of global Christianity lies not in repairing its past divisions so much as bravely facing its future in a world of many other faiths and conflicting convictions. Being Open, Being Faithful is a brief history, astute analysis, and trustworthy guide for Christian encounters in this pluralistic environment. A central argument of this perceptive book is that interreligious dialogue has moved so far as to fundamentally change the attitudes and openness of world religious traditions to each other, promising a future more open and less hostile than one might otherwise think. The book presents and reflects on the recent history of interreligious encounter and dialogue, and it traces the manifold difficulties involved, especially as they are experienced in Roman Catholic and World Council of Churches' engagements with other faiths. Yet, it goes even further: along with the history of such encounters, Being Open, Being Faithful examines the issue of Christian discipleship in the context of interfaith engagement, the operative models, the thorny issue of core theological commitments, and what might be the shape of Christian identity in light of such encounters.

Shallow Dialogue Processing Using Machine Learning Algorithms (or not)

This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and several machine learning techniques are used to extract features from dialogue transcripts: maximum entropy classifiers for dialogue acts, latent semantic analysis for topic segmentation, or decision tree classifiers for discourse markers. A rule-based approach is proposed for solving cross-modal references to meeting documents. The methods are trained and evaluated thanks to a common data set and annotation format. The integration of the components into an automated shallow dialogue parser opens the way to multimodal meeting processing and retrieval applications.