We discuss a modular strategy to robust parsing that is used in an information retrieval system. A two-stage model is presented, consisting of a parser and a transformational module for reanalyzing robustly parsed sentences. Provisional results are given.

PCR (Polymerase Chain Reaction), a method which replicates a selected sequence of DNA, has revolutionized the study of genomic material, but mathematical study of the process has been limited to simple deterministic models or descriptions relying on stochastic processes. In this paper we develop a suite of deterministic models for the reactions of quantitative PCR (Polymerase Chain Reaction) ba...

The current consensus is thot most notural categories are not organized around strict definitions (a list of singly necessary ond jointly sufficient features) but rather according t.a a fomily resemblance (FR) principle: Objects belong to the same category because they are similor to each other and dissimilar to obfects in contrast categories. A number of computational models of category constr...

This paper is concerned with expert search, a search task where the user types a query representing a topic and the search system returns a ranked list of people who are considered experts on the topic. The system does this using the evidence existing in a document collection. We proposed a model for performing the task in our TREC 2005 submission, referred to as two-stage model. Since that, a ...

We modified a two-stage model for color discrimination proposed in a previous study [Color Res. Appl.25, 105 (2000)]; in order to extend the model to wider conditions, we considered the conditions with luminance modulations in addition to color modulations. Using the modified model, we successfully predicted color discrimination data with test color changes along both the chromatic and luminanc...

I provide choice-theoretic foundations for a simple two-stage model, called transitive shortlist methods, where choices are made by sequentially by applying a pair of transitive preferences (or rationales) to eliminate inferior alternatives. Despite its simplicity, the model accommodates a wide range of choice phenomena including the status quo bias, framing, homophily, compromise, and limited ...

As one of the indirect causality, cascaded causality can be used to construct event knowledge graph, causal inference, scenario analysis, etc. The existing GCN methods lack mining context information and relevant entity information, resulting in poor ability which inevitably affects extraction accuracy cascade causality. To solve this problem, paper proposes a model based on two-stage improve a...