Getting More “Mileage” Out of Oral Reading Tests

Getting More Mileage from Lymph Node Biopsies

Malaria is one of the most serious of all tropical parasitic diseases: a severe and life-threatening form of which in humans is cerebral malaria, a complication that can occur in malaria caused by Plasmodium falciparum. This grave complication involves malarial infection of the red blood cells that accumulate within the very small capillaries that fl ow through the tissues of the brain. Even wh...

Word-phrase-entity language models: getting more mileage out of n-grams

We present a modification of the traditional n-gram language modeling approach that departs from the word-level data representation and seeks to re-express the training text in terms of tokens that could be either words, common phrases or instances of one or several classes. Our iterative optimization algorithm considers alternative parses of the corpus in terms of these tokens, re-estimates to...

Getting More Out Of Syntax with PropS

Semantic NLP applications often rely on dependency trees to recognize major elements of the proposition structure of sentences. Yet, while much semantic structure is indeed expressed by syntax, many phenomena are not easily read out of dependency trees, often leading to further ad-hoc heuristic postprocessing or to information loss. To directly address the needs of semantic applications, we pre...

Getting More Out of Two Asset Portfolios

Getting More Mileage from Web Text Sources for Conversational Speech Language Modeling using Class-Dependent Mixtures

Sources of training data suitable for language modeling of conversational speech are limited. In this paper, we show how training data can be supplemented with text from the web filtered to match the style and/or topic of the target recognition task, but also that it is possible to get bigger performance gains from the data by using class-dependent interpolation of N-grams.