James F. Allen

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The research described in this paper was supported in part by the National Science Foundation under Grants IST-g0-12418 and IST-82-10564. and in part by the Office of Naval Research under Grant N00014-80-C-0197. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial(More)
The concept of action arises in at least two major subareas of artificial intelligence, namely, natural language processing and problem solving. For the most part, the formalisms that have been suggested in each subarea are independent of each other and difficult to compare, although there is recent work that attempts to merge work from both areas (Charniak(More)
We present a representation of events and action based on interval temporal logic that is significantly more expressive and more natural than most previous AI approaches. The representation is motivated by work in natural language semantics and discourse, temporal logic, and AI planning and plan recognition. The formal basis of the representation is(More)
This paper describes a method for maintaining the relationships between temporal intervals in a hierarchical manner using constraint propagation techniques. The representation includes a notion of the present moment (i.e., "now") , and allows one to represent intervals that may extend indefinitely into the past/future. This research was supported in part by(More)
This paper describes the DAMSL annotation scheme for communicative acts in dialog The scheme has three layers Forward Communicative Functions Backward Communicative Functions and Utterance Features Each layer allows multiple communicative functions of an utterance to be labeled The Forward Communicative Functions consist of a taxonomy in a similar style as(More)
Within the SemEval-2013 evaluation exercise, the TempEval-3 shared task aims to advance research on temporal information processing. It follows on from TempEval-1 and -2, with: a three-part structure covering temporal expression, event, and temporal relation extraction; a larger dataset; and new single measures to rank systems – in each task and in general.(More)
This paper describes a model of cooperative behavior and describes how such a model can be applied in a natural language understanding system. We assume that agents attempt to recognize the plans of other agents and, then, use this plan when deciding what response to make. In particular, we show that, given a setting in which purposeful dialogues occur,(More)
This pa r er outlines a new theory of plan recognition that is significant y more powerful than previous approaches. Concurrent actions. shared steps between actions, and disjunctive information are all handled. The theory allows one to draw conclusions based on the class of possible plans being performed, rather than having to prematurely commit to a(More)
The Trains project is an eeort to build a conversationally proocient planning assistant. A key part of the project is the construction of the Trains system, which provides the research platform for a wide range of issues in natural language understanding, mixed-initiative planning systems, and representing and reasoning about time, actions and events. Four(More)