Results 251 to 260 of about 304,629 (283)
Some of the next articles are maybe not open access.
2012
This chapter presents the application of ETL to language independent named entity recognition (NER). The NER task consists of finding all proper nouns in a text and classifying them among several given categories of interest. We apply ETL and ETL Committee to three different corpora in three different languages: Portuguese, Spanish and Dutch.
Ruy Luiz Milidiú +1 more
openaire +2 more sources
This chapter presents the application of ETL to language independent named entity recognition (NER). The NER task consists of finding all proper nouns in a text and classifying them among several given categories of interest. We apply ETL and ETL Committee to three different corpora in three different languages: Portuguese, Spanish and Dutch.
Ruy Luiz Milidiú +1 more
openaire +2 more sources
Named entity recognition for Polish
Poznan Studies in Contemporary Linguistics, 2019Abstract In this article we discuss the current state-of-the-art for named entity recognition for Polish. We present publicly available resources and open-source tools for named entity recognition. The overview includes various kind of resources, i.e. guidelines, annotated corpora (NKJP, KPWr, CEN, PST) and lexicons (NELexiconS, PNET, Gazetteer).
Michał Marcińczuk, Aleksander Wawer
openaire +2 more sources
Named entity recognition for tweets
ACM Transactions on Intelligent Systems and Technology, 2013Two main challenges of Named Entity Recognition (NER) for tweets are the insufficient information in a tweet and the lack of training data. We propose a novel method consisting of three core elements: (1) normalization of tweets; (2) combination of a K-Nearest Neighbors (KNN) classifier with a linear Conditional Random Fields (CRF) model; and (3 ...
Xiaohua Liu +3 more
openaire +2 more sources
An Overview of Named Entity Recognition
2018 International Conference on Asian Language Processing (IALP), 2018Named Entity Recognition (NER) is essential for some Natural Language Processing (NLP) tasks. Previous researchers gave a survey of NER in statistical machine learning era, however, research on NER has already changed a lot in recent decade. On the one hand, more and more NER systems adopt deep learning, transfer learning, knowledge base and other ...
Xuezhen Yang +3 more
openaire +2 more sources
2014
Named entity recognition (NER) is the problem of locating and categorizing important nouns and proper nouns in a text. In this chapter, we review the general state of research on entity recognition, relevant challenges and the current state of the art works on named entity recognition on Semitic languages.
openaire +2 more sources
Named entity recognition (NER) is the problem of locating and categorizing important nouns and proper nouns in a text. In this chapter, we review the general state of research on entity recognition, relevant challenges and the current state of the art works on named entity recognition on Semitic languages.
openaire +2 more sources
Speech recognition of a named entity
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006A hierarchical language model is newly applied to identify a named entity consisting of multiple word sequences for continuous speech recognition. By redesigning an out-of-vocabulary model of a single word using phonotactic constraints for a named entity, a hierarchical model is composed harmoniously with conventional word and word-class N-grams ...
Hirofumi Yamamoto +3 more
openaire +2 more sources
Named entity recognition in query
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity into predefined classes. NERQ is potentially useful in many applications in web search. The paper proposes taking a probabilistic approach to the task using query log data and
Gu Xu, Xueqi Cheng, Hang Li, Jiafeng Guo
openaire +2 more sources
Named-Entity Recognition in Bengali
Post-Proceedings of the 4th and 5th Workshops of the Forum for Information Retrieval Evaluation, 2013This paper describes two systems for Named Entity Recognition (NER) and performance of two systems has been compared. The first system is a rule-based one whereas the second one is statistical (based on CRF) in nature. The systems vary in some other aspects too, for example, the first system works on untagged data (not even POS tag is done) to identify
Utpal Garain +2 more
openaire +2 more sources
A Survey on Named Entity Recognition
2020Natural language processing is an important research direction and research hotspot in the field of artificial intelligence. Named entity recognition is one of the key tasks, which is to identify entities with specific meanings in the text, such as names of people, places, institutions, proper nouns, etc.
Xin Chen +4 more
openaire +1 more source
A survey of named entity recognition and classification
Lingvisticae Investigationes, 2007This survey covers fifteen years of research in the Named Entity Recognition and Classification (NERC) field, from 1991 to 2006. We report observations about languages, named entity types, domains and textual genres studied in the literature. From the start, NERC systems have been developed using hand-made rules, but now machine learning techniques are
Nadeau, David, Sekine, S.
openaire +3 more sources