This article aims to present a set of discourse structure relations that are easy to code and to develop criteria for an appropriate data structure for representing these relations. Discourse structure here refers to informational relations that hold between sentences in a discourse. The set of discourse relations introduced here is based on Hobbs (1985). We present a method for annotating disc...

Modeling the demand for a portfolio of products as a function of price is a classical problem in operations with applications in retail and revenue management. Retailers have started to change their products’ prices frequently giving them access to vast amounts of data on aggregate sales at different price configurations. According to a recent Wall Street Journal article, the price of a microwa...

Introduction At first glance, neuroscience and business may seem an odd juxtaposition. Our involvement in the investigation of these two topics began in 2001. Working for many years with a colleague at Arizona State University, including the leadership research done at the United States Military Academy at West Point, the connection between neuroscience and business received worldwide recogniti...

Worries about authors, their identity and authority, are as old as worries about Homer’s link to the Odyssey, Plato’s link to Socratic dialogues, or an unknowable poet’s link to the biblical Book of Job. Thankfully, such worries do not haunt us always. The inescapable impact of the old nurse who recognizes the scar, or the incautious request Socrates makes for free meals, or the Whirlwind evoca...

PP attachment has attracted considerable interest the last two decades. The standard set-up has been to extract quadruples of verbs, direct objects, prepositions and prepositional complements from the Wall Street Journal and classify them as either low or high attachments. State-of-the-art results almost equal human performance in the standard set-up. Recently, however, Atterer and Schütze (200...

In this paper we introduce an approach to transformation based model adaptation techniques. Previously published schemes like MLLR define a set of affine transformations to be applied on clusters of model parameters. Although it has been shown that this approach can yield good results when adaptation data is scarce, an inherent problem needs to be considered: the number of transformations used ...

This study considers framing differences among three types of media outlets on Weibo, China's most popular microblog. The author examines Weibo content for China's state-owned media, China's commercial media, and foreign media on the subject of two of China's ongoing territorial disputes. Using content analysis techniques, this work compares framing styles across the three types of media. Findi...

The stability of the quay wall incorporating large diameter cylinders is of great concern at the Yangshan Port, China, owing to severe marine environment. In this study, finite element analysis is carried out to evaluate the stability of a trial quay wall during construction. The single cylinder is examined in terms of turnover failure subjected to a five year design wave action. The case when ...

We show how punctuation can be used to improve unsupervised dependency parsing. Our linguistic analysis confirms the strong connection between English punctuation and phrase boundaries in the Penn Treebank. However, approaches that naively include punctuation marks in the grammar (as if they were words) do not perform well with Klein and Manning’s Dependency Model with Valence (DMV). Instead, w...

This paper examines the use of interdependencies of parameter classes in transformation-based speaker adaptation algorithms such as maximum likelihood linear regression (MLLR). In transformation-based adaptation, increasing the number of transformation classes can provide more detailed information for adaptation, but at the expense of greater estimation error with small amounts of data. In this...