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ACTAC
2006
126views more  ACTAC 2006»
11 years 9 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
SIGIR
2004
ACM
12 years 3 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of ļ¬nding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
ACTAC
2008
145views more  ACTAC 2008»
11 years 9 months ago
Sentence Alignment of Hungarian-English Parallel Corpora Using a Hybrid Algorithm
We present an ecient hybrid method for aligning sentences with their translations in a parallel bilingual corpus. The new algorithm is composed of a length-based and anchor matchi...
Krisztina Tóth, Richárd Farkas, Andr...
COLING
2010
11 years 4 months ago
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
Son Doan, Hua Xu
EMNLP
2004
11 years 11 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag
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