Combining concepts and language models for information access

Patient Safety and Healthcare Quality: The Case for Language Access

This paper aims to provide a description of the need for Culturally and Linguistically Appropriate Services (CLAS) for Limited English Proficient (LEP) patients, an identification of how the lack of CLAS for LEP patients can compromise patient safety and healthcare quality, and discuss barriers to the provision of CLAS.

Combining Natural Language and Hypermedia as New Means for Information Access

Combining Evidence for Cross-Language Information Retrieval

This paper describes the official runs of our team for CLEF 2002. We took part in the monolingual tasks for each of the seven non-English languages for which CLEF provides document collections (Dutch, Finnish, French, German, Italian, Spanish, and Swedish). We also conducted our first experiments for the bilingual task (English to Dutch, and English to German), and took part in the GIRT and Ama...

On-line algorithms for combining language models

Multiple language models are combined for many tasks in language modeling, such as domain and topic adaptation. In this work, we compare on-line algorithms from machine learning to existing algorithms for combining language models. On-line algorithms developed for this problem have parameters that are updated dynamically to adapt to a data set during evaluation. On-line analysis provides guaran...

Combining Topic Specific Language Models

In this paper we investigate whether a combination of topic specific language models can outperform a general purpose language model, using a trigram model as our baseline model. We show that in the ideal case — in which it is known beforehand which model to use — specific models perform considerably better than the baseline model. We test two methods that combine specific models and show that ...