A topic tracking system that combines elements from vector space and language modeling frameworks to compute document scores is described. The model is used for both the traditional TDT topic tracking evaluation design and the new supervised adaptive topic tracking evaluation. Results indicate that supervised adaptation and score normalization should be more closely coupled, and that current te...

Recently, corpus-based text-to-speech (CB-TTS) has been actively studied through the world. Statistical training methods are generally applied for prosodic rules in CB-TTS, and classification and regression tree (CART) is one of the mostly used methods. In this paper, we present an efficient CART training approach of zscore based phonetic normalization. The idea of ours comes from the fact that...

We present a method that avoids the problem of a large vocabulary recognition system missing keywords due to pruning errors or degraded speech. The method, called white listing, assures that all tokens of all of the keywords are found by the recognizer, albeit with a low score. We show that this method far outperforms methods that attempt to increase recall by using subword models. In addition,...

Van Raan et al. (2010) accepted our critique for the case of journal normalization (previously CPP/JCSm); CWTS has in the meantime adapted its procedures. However, a new indicator was proposed for field normalization (previously CPP/FCSm), called the “mean normalized citation score” (MNCS; cf. Lundberg, 2007). In our opinion, this latter change does not sufficiently resolve the problems. Since ...

Natural language processing and text analysis methods offer the potential of uncovering hidden associations from large amounts of unprocessed texts. The SemEval-2015 Analysis of Clinical Text task aimed at fostering research on the application of these methods in the clinical domain. The proposed task consisted of disorder identification with normalization to SNOMED-CT concepts, and disorder at...

Biomedical vocabularies have specific characteristics that make their lexical alignment challenging. We have built a string-based vocabulary alignment tool, AnAGram, dedicated to efficiently compare terms in the biomedical domain, and evaluate this tool’s results against an algorithm based on Jaro-Winkler’s edit-distance. AnAGram is modular, enabling us to evaluate the precision and recall of d...

SUMMARY Identifying mentions of named entities, such as genes or diseases, and normalizing them to database identifiers have become an important step in many text and data mining pipelines. Despite this need, very few entity normalization systems are publicly available as source code or web services for biomedical text mining. Here we present the Gnat Java library for text retrieval, named enti...

This paper presents a bimodal biometric verification system based on the fusion of palmprint and face features at the matching-score level. The system combines a new approach to palmprint principal lines recognition based on hypotheses generation and evaluation and the well-known eigenfaces approach for face recognition. The experiments with different matching-score normalization techniques hav...

It is widely recognized that citation counts for papers from different fields cannot be directly compared because different scientific fields adopt different citation practices. Citation counts are also strongly biased by paper age since older papers had more time to attract citations. Various procedures aim at suppressing these biases and give rise to new normalized indicators, such as the rel...