Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T06:07:18.429856Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:1909.00170.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T06:07:18.429856Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
72 of 72 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 560c4f52-ba90-4ca4-a2db-08d5960e528c · outbound
Open Named Entity Modeling from Embedding Distribution Neural architectures for named entity recognition,
Reference 1
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Open Named Entity Modeling from Embedding Distribution Adapting word2vec to named entity recognition,
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Open Named Entity Modeling from Embedding Distribution Named entity recognition using word embedding as a feature,
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Open Named Entity Modeling from Embedding Distribution Exploiting Similarities among Languages for Machine Translation
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Source-reported events for the cited work
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Open Named Entity Modeling from Embedding Distribution Cheap translation for cross-lingual named entity recognition,
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Open Named Entity Modeling from Embedding Distribution Weakly supervised cross-lingual named entity recognition via effective annotation and representation projection,
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Open Named Entity Modeling from Embedding Distribution Phonolog- ically aware neural model for named entity recognition in low resource transfer settings,
Reference 10
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Open Named Entity Modeling from Embedding Distribution Rolston and K
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Open Named Entity Modeling from Embedding Distribution Multilingual named entity recognition using parallel data and metadata from wikipedia,
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Open Named Entity Modeling from Embedding Distribution Improving multilingual named entity recognition with Wikipedia entity type mapping,
Reference 13
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Open Named Entity Modeling from Embedding Distribution Named entity recognition using cross-lingual resources: Arabic as an example,
Reference 14
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Observation 26c30c70-e7de-4700-a8da-3f296a6c39d6 · outbound
Open Named Entity Modeling from Embedding Distribution Cross- lingual name tagging and linking for 282 languages,
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Open Named Entity Modeling from Embedding Distribution End-to-end sequence labeling via bi-directional LSTM-CNNs-CRF,
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Open Named Entity Modeling from Embedding Distribution Empower sequence labeling with task-aware neural language model,
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Open Named Entity Modeling from Embedding Distribution NCRF++: An open-source neural sequence labeling toolkit,
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Open Named Entity Modeling from Embedding Distribution Experiments in graph-based semi- supervised learning methods for class-instance acquisition,
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Open Named Entity Modeling from Embedding Distribution Deep active learning for named entity recognition,
Reference 20
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Open Named Entity Modeling from Embedding Distribution Clustype: Effective entity recognition and typing by relation phrase-based cluster- ing,
Reference 21
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Observation 1b586193-92e6-47ce-b1fd-6435b3855afa · outbound
Open Named Entity Modeling from Embedding Distribution Learning named entity tagger using domain-specific dictionary,
Reference 22
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Open Named Entity Modeling from Embedding Distribution SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data
Reference 23
Source-reported events for the cited work
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Open Named Entity Modeling from Embedding Distribution Distantly supervised ner with partial annotation learning and reinforcement learning,
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Open Named Entity Modeling from Embedding Distribution Better modeling of incomplete annotations for named entity recognition,
Reference 25
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Open Named Entity Modeling from Embedding Distribution Inducing multilingual text analysis tools via robust projection across aligned corpora,
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Open Named Entity Modeling from Embedding Distribution Mention detection crossing the language barrier,
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Observation ad59202c-d581-4153-b31c-e7a93aa53593 · outbound
Open Named Entity Modeling from Embedding Distribution Cheap translation for cross-lingual named entity recognition,
Reference 28
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Open Named Entity Modeling from Embedding Distribution Cross-lingual Pseudo-Projected Expectation Regularization for Weakly Supervised Learning
Reference 29
Source-reported events for the cited work
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Observation edd091d5-16f9-4c89-929a-6a282c006612 · outbound
Open Named Entity Modeling from Embedding Distribution An unsupervised method for word sense tagging using parallel corpora,
Reference 30
Source-reported events for the cited work
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Observation 7724ba30-2572-4d61-a37b-bdcad36d1d9a · outbound
Open Named Entity Modeling from Embedding Distribution Cross-Lingual Syntactic Transfer with Limited Resources
Reference 31
Source-reported events for the cited work
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Open Named Entity Modeling from Embedding Distribution Nudging the envelope of direct transfer methods for multilingual named entity recognition,
Reference 32
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Observation bb3d9f85-ada8-4670-9fa3-af9ddb72c84f · outbound
Open Named Entity Modeling from Embedding Distribution Cross-lingual named entity recog- nition via wikification,
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Open Named Entity Modeling from Embedding Distribution Cross-lingual wikification using multilingual embeddings,
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Open Named Entity Modeling from Embedding Distribution Joint entity recognition and disambiguation,
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Observation 8d6aadff-1052-4508-b803-18b862b85687 · outbound
Open Named Entity Modeling from Embedding Distribution Chinese named entity recognition with conditional random fields,
Reference 37
Source-reported events for the cited work
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Observation 5a8bb70f-401a-4589-9e0f-085e996ecb90 · outbound
Open Named Entity Modeling from Embedding Distribution Deep learning for nlp (without magic),
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Source-reported events for the cited work
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Reference 39
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Open Named Entity Modeling from Embedding Distribution BERT: Pre- training of deep bidirectional transformers for language understanding,
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Open Named Entity Modeling from Embedding Distribution Contextual string embeddings for sequence labeling,
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Observation e955bb9b-79c9-40ab-97dc-5f61bb307d99 · outbound
Open Named Entity Modeling from Embedding Distribution Visualizing data using t-SNE,
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Open Named Entity Modeling from Embedding Distribution Maximum entropy models for named entity recognition,
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Source-reported events for the cited work
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Observation 9e79e5c6-db31-4622-b50d-169cef6b0501 · outbound
Open Named Entity Modeling from Embedding Distribution FPTAS for minimizing the earth mover’s distance under rigid transformations and related problems,
Reference 52
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Open Named Entity Modeling from Embedding Distribution A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings,
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Open Named Entity Modeling from Embedding Distribution Wasserstein GAN
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Reference 59
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Open Named Entity Modeling from Embedding Distribution New York: Springer, 1997
Reference 60
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Reference 61
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Reference 62
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Open Named Entity Modeling from Embedding Distribution Conditional random fields: Probabilistic models for segmenting and labeling sequence data,
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Open Named Entity Modeling from Embedding Distribution Unsupervised segmentation helps supervised learning of character tagging for word segmentation and named entity recognition,
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Open Named Entity Modeling from Embedding Distribution Chinese named entity recognition via joint identification and categorization,
Reference 66
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Open Named Entity Modeling from Embedding Distribution Character-based LSTM-CRF with radical-level features for chinese named entity recogni- tion,
Reference 67
Source-reported events for the cited work
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Open Named Entity Modeling from Embedding Distribution One billion word benchmark for measuring progress in statistical language modeling,
Reference 68
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Open Named Entity Modeling from Embedding Distribution Towards improving neural named entity recognition with gazetteers,
Reference 69
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Open Named Entity Modeling from Embedding Distribution Introduction to the conll-2003 shared task: Language-independent named entity recognition,
Reference 70
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Open Named Entity Modeling from Embedding Distribution Named entity recognition with bidirectional LSTM-CNNs,
Reference 71
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Reference 72
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No inbound Pith citation observations are available.