An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013

2014-05-28 · Vivekananda Gayen, Kamal Sarkar

This paper reports about our work in the ICON 2013 NLP TOOLS CONTEST on Named Entity Recognition. We submitted runs for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu. A statistical HMM (Hidden Markov Models) based model has been used to implement our system. The system has been trained and tested on the NLP TOOLS CONTEST: ICON 2013 datasets. Our system obtains F-measures of 0.8599, 0.7704, 0.7520, 0.4289, 0.5455, 0.4466, and 0.4003 for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu respectively.

📄 PDF Abstract BibTeX arXiv:1405.7397

Code (0)

등록된 구현이 없습니다.

Tasks

named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)

Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages

2024-05-08 · Sankalp Bahad, Pruthwik Mishra, Karunesh Arora, Rakesh Chandra Balabantaray 외

Named Entity Recognition (NER) is a useful component in Natural Language Processing (NLP) applications. It is used in various tasks such as Machine Translation, Summarization, Information Retrieval, and Question-Answerin…

Information Retrieval Machine Translation Multilingual Named Entity Recognition named-entity-recognition+5

A Survey of Named Entity Recognition in Assamese and other Indian Languages

2014-07-09 · Gitimoni Talukdar, Pranjal Protim Borah, Arup Baruah

Named Entity Recognition is always important when dealing with major Natural Language Processing tasks such as information extraction, question-answering, machine translation, document summarization etc so in this paper …

Document Summarization Machine Translation named-entity-recognition Named Entity Recognition+3

A Deeper Study on Features for Named Entity Recognition

2020-05-01 · LREC 2020 5 · Malarkodi C.S, Sobha Lalitha Devi

This paper deals with the various features used for the identification of named entities. The performance of the machine learning system heavily depends on the feature selection criteria. The intention to trace the essen…

BIG-bench Machine Learning feature selection named-entity-recognition Named Entity Recognition+1

CRF-based Named Entity Recognition @ICON 2013

2014-09-29 · Arjun Das, Utpal Garain

This paper describes performance of CRF based systems for Named Entity Recognition (NER) in Indian language as a part of ICON 2013 shared task. In this task we have considered a set of language independent features for a…

named-entity-recognition Named Entity Recognition Named Entity Recognition (NER)NER

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages

2022-12-20 · Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra 외

We present, Naamapadam, the largest publicly available Named Entity Recognition (NER) dataset for the 11 major Indian languages from two language families. The dataset contains more than 400k sentences annotated with a t…

Named Entity Recognition Named Entity Recognition (NER)Sentence