LCC from September–October 2020 Lists

Introducing the LCC Metaphor Datasets

In this work, we present the Language Computer Corporation (LCC) annotated metaphor datasets, which represent the largest and most comprehensive resource for metaphor research to date. These datasets were produced over the course of three years by a staff of nine annotators working in four languages (English, Spanish, Russian, and Farsi). As part of these datasets, we provide (1) metaphoricity ...

Learning from Human-Generated Lists

Human-generated lists are a form of non-iid data with important applications in machine learning and cognitive psychology. We propose a generative model — sampling with reduced replacement (SWIRL) — for such lists. We discuss SWIRL’s relation to standard sampling paradigms, provide the maximum likelihood estimate for learning, and demonstrate its value with two real-world applications: (i) In a...

Admissions from surgical waiting lists.

Many factors tend to reduce the efficiency of bed utilization in general hospitals. A numerically small, but clinically well-recognized, cause of wastage arises from the failure of waiting list patients to attend for admission when offered beds. The relative severity of the problem varies between clinical specialties, according to the proportions of total admissions accounted for by waiting lis...

LCC Tools for Question Answering

Early Experience with ASDL in lcc

The Abstract Syntax Description Language (ASDL) is a language for specifying the tree data structures often found in compiler intermediate representations. The ASDL generator reads an ASDL specification and generates code to construct, read and write instances of the trees specified. Using ASDL permits a compiler to be decomposed into semi-independent components that communicate by reading and ...