Results 71 to 80 of about 408,758 (354)

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition [PDF]

International Workshop on Semantic Evaluation, 2022
The MultiCoNER shared task aims at detecting semantically ambiguous and complex named entities in short and low-context settings for multiple languages. The lack of contexts makes the recognition of ambiguous named entities challenging. To alleviate this
Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Y. Zhuang, Kewei Tu, Wei Lu, Yong Jiang   +11 more
semanticscholar   +1 more source

AWdpCNER: Automated Wdp Chinese Named Entity Recognition from Wheat Diseases and Pests Text

Agriculture, 2023
Chinese named entity recognition of wheat diseases and pests is an initial and key step in constructing knowledge graphs. In the field of wheat diseases and pests, there are problems, such as lack of training data, nested entities, fuzzy entity ...
Demeng Zhang, Guang Zheng, Hebing Liu, Xinming Ma, Lei Xi   +4 more
doaj   +1 more source

Named Entity Recognition of Wheat Diseases and Pests Fusing ALBERT and Rules [PDF]

Jisuanji kexue yu tansuo, 2023
Named entity recognition of wheat diseases and pests is a key step to building a knowledge graph. Aiming at the problems of lack of training data, complex entity structure, diverse entity types and uneven entity distribution in wheat diseases and pests ...
LIU Hebing, ZHANG Demeng, XIONG Shufeng, MA Xinming, XI Lei
doaj   +1 more source

Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer

Annual Meeting of the Association for Computational Linguistics, 2020
In this paper, we study Multimodal Named Entity Recognition (MNER) for social media posts. Existing approaches for MNER mainly suffer from two drawbacks: (1) despite generating word-aware visual representations, their word representations are insensitive
Jianfei Yu, Jing Jiang, Li Yang, Rui Xia
semanticscholar   +1 more source

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition [PDF]

Conference on Empirical Methods in Natural Language Processing, 2022
African languages are spoken by over a billion people, but they are under-represented in NLP research and development. Multiple challenges exist, including the limited availability of annotated training and evaluation datasets as well as the lack of ...
David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, Shruti Rijhwani, Michael Beukman, Chester Palen-Michel, Constantine Lignos, Jesujoba Oluwadara Alabi, Shamsuddeen Hassan Muhammad, Peter Nabende, Cheikh M. Bamba Dione, Andiswa Bukula, Rooweither Mabuya, Bonaventure F. P. Dossou, Blessing K. Sibanda, Happy Buzaaba, Jonathan Mukiibi, G. Kalipe, Derguene Mbaye, Amelia Taylor, F. Kabore, Chris C. Emezue, Anuoluwapo Aremu, Perez Ogayo, C. Gitau, Edwin Munkoh-Buabeng, V. M. Koagne, A. Tapo, Tebogo Macucwa, V. Marivate, Elvis Mboning, T. Gwadabe, Tosin P. Adewumi, Orevaoghene Ahia, J. Nakatumba‐Nabende, Neo L. Mokono, Ignatius M Ezeani, C. Chukwuneke, Mofetoluwa Adeyemi, Gilles Hacheme, Idris Abdulmumin, Odunayo Ogundepo, Oreen Yousuf, Tatiana Moteu Ngoli, D. Klakow   +44 more
semanticscholar   +1 more source

Memory-based named entity recognition [PDF]

proceeding of the 6th conference on Natural language learning - COLING-02, 2002
We apply a memory-based learner to the CoNLL-2002 shared task: language-independent named entity recognition. We use three additional techniques for improving the base performance of the learner: cascading, feature selection and system combination.
openaire   +4 more sources

A named entity recognition dataset for Turkish

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
Named entity recognition is one of the important topics in the research area of natural language processing. Named entity recognition studies conducted on Turkish texts are quite limited, compared to the studies on other languages. Besides, the lack of common data sets makes the comparison of different approaches harder.
Kucuk, Dilek, Kucuk, Dogan, Arici, Nursal   +2 more
openaire   +4 more sources

Named entity recognition in Wikipedia [PDF]

Proceedings of the 2009 Workshop on The People's Web Meets NLP Collaboratively Constructed Semantic Resources - People's Web '09, 2009
Named entity recognition (NER) is used in many domains beyond the newswire text that comprises current gold-standard corpora. Recent work has used Wikipedia's link structure to automatically generate near gold-standard annotations. Until now, these resources have only been evaluated on newswire corpora or themselves.
Joel Nothman, Nicky Ringland, Dominic Balasuriya, James Curran, Tara Murphy   +4 more
openaire   +2 more sources

Bipartite Flat-Graph Network for Nested Named Entity Recognition

, 2020
In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: a flat NER module for outermost entities and a graph module for all the entities located in inner ...
Luo, Ying, Zhao, Hai
core   +1 more source

Pattern Mining for Named Entity Recognition [PDF]

, 2011
Revised selected paper of the LTC'2011 conferenceInternational audienceMany evaluation campaigns have shown that knowledge-based and data-driven approaches remain equally competitive for Named Entity Recognition.
Antoine, Jean-Yves, Friburger, Nathalie, Nouvel, Damien   +2 more
core   +2 more sources