Neural correlate of human inductive reasoning process is still unclear. Number series and letter series completion are two typical inductive reasoning tasks, and with a common core component of rule induction. Previous studies have demonstrated that different strategies are adopted in number series and letter series completion tasks; even the underlying rules are identical. In the present study...

Recent works in the NLP community show an increasing interest for the analysis of discourse structure, leading to a variety of models and applications. We claim that a constraint-based approach allows a high level, abstract, description of various discourse structures, together with the design of an operative framework for generic analysis methods. The CDML formalism (Constraint-based Discourse...

We present a set of annotations of hierarchical topic segmentations and action item subdialogues collected over 65 meetings from the ICSI and ISL meeting corpora, designed to support automatic meeting understanding and analysis. We describe an architecture for representing, annotating, and analyzing multi-party discourse, including: an ontology of multimodal discourse, a programming interface f...

We evaluated the effects of concurrent schedules of reinforcement on negatively reinforced problem behavior and task completion with 3 children with autism. Results indicated that problem behavior occurred at high levels and relatively few tasks were completed when problem behavior produced a break (from tasks) and task completion produced either no consequence or a break. By contrast, problem ...

The task of scheduling dynamic applications that consist of single process tasks on a non-shared memory multicomputer is examined in this paper. Each task of the application is assumed to (1) require execution on a single processor, (2) have an estimate of its maximum execution time, and (3) not wait on communications with other tasks. The objective of the studied schedulers is to map an applic...

The problem of determining the time to complete multiple tasks that may proceed concurrently, sequentially, or both is considered. In the solution offered, each individual task completion time may be described with a number, interval, or distribution function. In the case of distribution functions, two task completion times might be independent random variables, as when the tasks are performed ...

Countability of English nouns is important in various natural language processing tasks. It especially plays an important role in machine translation since it determines the range of possible determiners. This paper proposes a method for reinforcing countability prediction by introducing a novel concept called one countability per discourse. It claims that when a noun appears more than once in ...

Discourse parsing is considered as one of the most challenging natural language processing (NLP) tasks. Implicit discourse relation classification is the bottleneck for discourse parsing. Without the guide of explicit discourse connectives, the relation of sentence pairs are very hard to be inferred. This paper proposes a stacking neural network model to solve the classification problem in whic...