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Code and Named Entity Recognition in StackOverflow [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 updated with better results. (To appear in ACL 2020)
Jeniya Tabassum +3 more
openaire +3 more sources
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
Spanish named entity recognition in the biomedical domain [PDF]
, 2018 Named Entity Recognition in the clinical domain and in languages different from English has the difficulty of the absence of complete dictionaries, the informality of texts, the polysemy of terms, the lack of accordance in the boundaries of an entity ...
Cotik, Viviana +2 more
core +1 more source
Named Entity Recognition - Is There a Glass Ceiling? [PDF]
Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019 Accepted to CoNLL ...
Przemyslaw Biecek +4 more
openaire +3 more sources
DroNER: Dataset for drone named entity recognition
Data in Brief, 2023 The dataset is constructed from the drone flight log messages extracted from publicly available drone image datasets provided by VTO Labs under the Drone Forensic Program.
Swardiantara Silalahi +2 more
doaj +1 more source
Multi-grained Named Entity Recognition [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 In ACL 2019 as a long ...
Yaliang Li +8 more
openaire +4 more sources
MALAY NAMED ENTITY RECOGNITION USING RULE BASED APPROACH
Asia-Pacific Journal of Information Technology and Multimedia, 2019 Named Entity Recognition (NER) research based on rule is widely investigated and is used in various languages mainly English. However, the English NER rules are different with Malay language due to different morphology. Some of challenging issue in Malay
Ulfa Nadia, Nazlia Omar
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
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
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