LREC
2008
14 years 1 months ago
2008
We report on the construction of a gold-standard dataset consisting of annotated clinical notes suitable for evaluating our biomedical named entity recognition system. The dataset...
EMNLP
2008
14 years 1 months ago
2008
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
LREC
2010
14 years 1 months ago
2010
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
LREC
2010
14 years 1 months ago
2010
This paper presents the participation of FIDJI system to the Web Question-Answering evaluation campaign organized by Quaero in 2009. FIDJI is an open-domain question-answering sys...
LREC
2010
14 years 1 months ago
2010
We present a working Arabic information extraction (IE) system that is used to analyze large volumes of news texts every day to extract the named entity (NE) types person, organiz...
LREC
2010
14 years 1 months ago
2010
In this paper, we present a detailed and critical analysis of the behaviour of the CasEN named entity recognition system during the French Ester2 evaluation campaign. In this proj...
LREC
2010
14 years 1 months ago
2010
Named Entity Recognition (NER) plays a relevant role in several Natural Language Processing tasks. Question-Answering (QA) is an example of such, since answers are frequently name...
LREC
2010
14 years 1 months ago
2010
The Quaero project organized a set of evaluations of Named Entity recognition systems in 2009, including reference extraction in patent text. The LIMSI participated in this evalua...
LREC
2010
14 years 1 months ago
2010
This paper introduces a new named entity corpus for Dutch. State-of-the-art named entity recognition systems require a substantial annotated corpus to be trained on. Such corpora ...
COLING
2008
14 years 1 months ago
2008
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...