(Re)labeling


Book Description

A new theory of labeling that sheds light on such syntactic phenomena as relativization, successive cyclicity, island phenomena, and Minimality effects. When two categories merge and a new syntactic object is formed, what determines which of the two merged categories transmits its properties one level up—or, in current terminology, which of the two initial categories labels the new object? In (Re)labeling, Carlo Cecchetto and Caterina Donati take this question as the starting point of an investigation that sheds light on longstanding puzzles in the theory of syntax in the generative tradition. They put forward a simple idea: that words are special because they can provide a label for free when they merge with some other category. Crucially, this happens even when a word merges with another category as a result of syntactic movement. This means that a word has a “relabeling” power in that the structure resulting from its movement can have a different label from the one that the structure previously had. Cecchetto and Donati argue that relabeling cases triggered by the movement of a word are pervasive in the syntax of natural languages and that their identification sheds light on such phenomena as relativization, explaining for free why relatives clauses have a nominal distribution, successive cyclicity, island effects, root phenomena, and Minimality effects.




Relabeling in Language Genesis


Book Description

In this book, Claire Lefebrve offers a coherent picture of research on relabeling over the last 15 years, and replies to the questions that have been directed at the relabeling-based theory of creole genesis presented in Lefebvre (1998) and related work.







Network Flows and Matching


Book Description

Interest has grown recently in the application of computational and statistical tools to problems in the analysis of algorithms. In many algorithmic domains, worst-case bounds are too pessimistic and tractable probabilistic models too unrealistic to provide meaningful predictions of practical algorithmic performance. Experimental approaches can provide knowledge where purely analytical methods fail and can provide insights to motivate and guide deeper analytical results. The DIMACS Implementation Challenge was organized to encourage experimental work in the area of network flows and matchings. Participants at sites in the U.S., Europe, and Japan undertook projects between November 1990 and August 1991 to test and evaluate algorithms for these problems. The Challenge culminated in a three-day workshop, held in October 1991 at DIMACS. This volume contains the revised and refereed versions of twenty-two of the papers presented at the workshop, along with supplemental material about the Challenge and the Workshop.




Database Systems for Advanced Applications


Book Description

On behalf of the Organizing Committee, we would like to welcome you to the proceedings of the 10th International Conference on Database Systems for Advanced Applications (DASFAA 2005).




Medical Image Learning with Limited and Noisy Data


Book Description

This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.










Supreme Court


Book Description




Standards and Labeling Policy Book


Book Description