Results 41 to 50 of about 379,251 (377)
A Survey on Deep Learning for Named Entity Recognition [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2018 Named entity recognition (NER) is the task to identify mentions of rigid designators from text belonging to predefined semantic types such as person, location, organization etc.
J. Li +3 more
semanticscholar +1 more source
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision [PDF]
Knowledge Discovery and Data Mining, 2020 We study the open-domain named entity recognition (NER) problem under distant supervision. The distant supervision, though does not require large amounts of manual annotations, yields highly incomplete and noisy distant labels via external knowledge ...
Chen Liang +6 more
semanticscholar +1 more source
Parallel Instance Query Network for Named Entity Recognition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Named entity recognition (NER) is a fundamental task in natural language processing. Recent works treat named entity recognition as a reading comprehension task, constructing type-specific queries manually to extract entities.
Yongliang Shen +7 more
semanticscholar +1 more source
Named entity recognition method based on joint entity boundary detection
Journal of Hebei University of Science and Technology, 2023 To solve the problem that traditional named entity recognition methods cannot effectively utilize entity boundary information, a named entity recognition method based on joint entity boundary detection was proposed.
Xiaoteng LI, Zhinan GOU, Kai GAO
doaj +1 more source
Decomposed Meta-Learning for Few-Shot Named Entity Recognition [PDF]
Findings, 2022 Few-shot named entity recognition (NER) systems aim at recognizing novel-class named entities based on only a few labeled examples. In this paper, we present a decomposed meta-learning approach which addresses the problem of few-shot NER by sequentially ...
Tingting Ma +4 more
semanticscholar +1 more source
Named entity evolution recognition on the Blogosphere [PDF]
International Journal on Digital Libraries, 2014 Advancements in technology and culture lead to changes in our language. These changes create a gap between the language known by users and the language stored in digital archives. It affects user's possibility to firstly find content and secondly interpret that content. In previous work we introduced our approach for Named Entity Evolution Recognition~(
Helge Holzmann +2 more
openaire +2 more sources
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning [PDF]
International Conference on Learning Representations, 2022 We present a bi-encoder framework for named entity recognition (NER), which applies contrastive learning to map candidate text spans and entity types into the same vector representation space.
Sheng Zhang +3 more
semanticscholar +1 more source
Named Entity Recognition Using Conditional Random Fields
Applied Sciences, 2022 Named entity recognition (NER) is an important task in natural language processing, as it is widely featured as a key information extraction sub-task with numerous application areas.
Wahab Khan +5 more
doaj +1 more source
Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance
AAAI Conference on Artificial Intelligence, 2021 Multi-modal named entity recognition (MNER) aims to discover named entities in free text and classify them into pre-defined types with images. However, dominant MNER models do not fully exploit fine-grained semantic correspondences between semantic units
Dong Zhang +5 more
semanticscholar +1 more source
Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text
Remote Sensing, 2020 The automatic extraction of geospatial information is an important aspect of data mining. Computer systems capable of discovering geographic information from natural language involve a complex process called geoparsing, which includes two important tasks:
Edwin Aldana-Bobadilla +5 more
doaj +1 more source