Results 251 to 260 of about 316,892 (282)

Named entity recognition in query

Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009
This 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
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li 0001   +3 more
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An Overview of Named Entity Recognition

2018 International Conference on Asian Language Processing (IALP), 2018
Named 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 ...
Peng Sun, Xuezhen Yang, Xiaobing Zhao, Zhijuan Wang   +3 more
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Speech recognition of a named entity

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
A 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 ...
Tatsuhiko Tomita, Yoshiyuki Okimoto, Hirofumi Yamamoto, Yoshinori Sagisaka   +3 more
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Named entity recognition

Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011
Named Entity Recognition (NER) system has two sub-tasks, first is identification and second is classification. In first NER identifies words in texts which represent proper names like location, person-name, organization, date, time etc. and in second it classifies them in to predefined categories.
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Named Entity Recognition for Vietnamese

2010
Named Entity Recognition is an important task but is still relatively new for Vietnamese. It is partly due to the lack of a large annotated corpus. In this paper, we present a systematic approach in building a named entity annotated corpus while at the same time building rules to recognize Vietnamese named entities.
Dat Ba Nguyen, Son Huu Hoang, Son Bao Pham, Thai Phuong Nguyen   +3 more
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Named Entity Recognition

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.
Cícero Nogueira dos Santos, Ruy Luiz Milidiú   +1 more
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Recursive Named Entity Recognition

2022
Cédric Lopez, Melissa Mekaoui, Kevin Aubry, Guillaume Tisserant, Hani Guenoune, Mathieu Dodard, Jean Bort, Philippe Garnier   +7 more
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Named Entity Recognition

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.
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Named Entity Recognition and Relation Extraction

ACM Computing Surveys, 2022
Zara Nasar, Syed Waqar Jaffry, Muhammad Malik Kamran   +2 more
exaly  

Nested Named Entity Recognition: A Survey

ACM Transactions on Knowledge Discovery From Data, 2022
Yu Wang, Hanghang Tong, Ziye Zhu
exaly