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76.953  Articles
1 of 7.696 pages  |  10  records  |  more records»
Drug-Named Entity Recognition (DNER) for biomedical literature is a fundamental facilitator of Information Extraction. For this reason, the DDIExtraction2011 (DDI2011) and DDIExtraction2013 (DDI2013) challenge introduced one task aiming at recognition of ... see more

Sistem Informasi Manajemen (SIM) Magang MyITS StudentConnect adalah suatu platform yang dibuat untuk memenuhi kebutuhan penyebaran informasi magang dalam lingkungan mahasiswa Institut Teknologi Sepuluh Nopember (ITS). Dalam perkembangannya, diperlukan sua... see more

The paper presents efforts in developing freely available models for named entity recognition and classification in Croatian and Slovene text. Our experiments focus on the most informative set of linguistic features taking into account the availability of... see more

Al Quran is the guidance of all Muslims all over  the world, including Indonesian society that most of the people are moslem. the purpose of this research is to help the society for seeking the quranic proposition in the free question forms or more o... see more

We provide an evaluation of the currently available named entity recognition systems for Croatian. The evaluation puts special emphasis on domain dependence. To this goal, we manually annotated a dataset of approximately 1 million tokens of Croatian text ... see more

Recurrent neural network (RNN) has achieved remarkable success in sequence labeling tasks with memory requirement. RNN can remember previous information of a sequence and can thus be used to solve natural language processing (NLP) tasks. Named entity reco... see more

Over the time, culinary tourism in several cities of Indonesia is growing rapidly, one example is culinary tourism in Bandung city. This makes it difficult for tourists to decide their choice. To overcome these problems, a recommendation system is needed.... see more

This paper presents an approach and an implementation of a named entity extractor for Slovene language, based on a machine learning approach. It is designed as a supervised algorithm based on Conditional Random Fields and is trained on the ssj500k annotat... see more

Named entity extraction tools designed for recognizing named entities in texts written in standard language (e.g., news stories or legal texts) have been shown to be inadequate for user-generated textual content (e.g., tweets, forum posts). In this work, ... see more

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