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Paper Citation Record · LEDGER

Open Named Entity Modeling from Embedding Distribution

As of 20 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.

pith.paper-citation-record.v1
1909.00170 v2

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T06:07:18.429856Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

  • verified exact0
  • verified fuzzy65
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 560c4f52-ba90-4ca4-a2db-08d5960e528c · outbound

This paper cites Neural architectures for named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Neural architectures for named entity recognition,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.494866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.106126Z digest=sha256:6c1262fa6a17eb3a3842379276a8e9fab7c6634ca60e153acf5383ce0b5c5211

Observation a2c7f7ca-5d78-48fe-8790-c0bcfb0a16f9 · outbound

This paper cites Bipartite flat-graph network for nested named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Bipartite flat-graph network for nested named entity recognition,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.480363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.111359Z digest=sha256:b050ee8c7c9008fe4ae6c09405d081df40f7f9557d236a2f21de6bd53751ef58

Observation f23e447f-0c0c-4cce-9522-7bc22b142e41 · outbound

This paper cites Named entity recognition only from word embeddings,.

Open Named Entity Modeling from Embedding Distribution Named entity recognition only from word embeddings,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.466436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.116032Z digest=sha256:1068361138ba72c297f3d9949719f30fa639b61505b791ab7f24e09cbddf7d88

Observation b44c7548-1868-41b9-a65f-a2f388cd8f78 · outbound

This paper cites Linguistic regularities in continu- ous space word representations,.

Open Named Entity Modeling from Embedding Distribution Linguistic regularities in continu- ous space word representations,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.452475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.120716Z digest=sha256:16031b5d0e1d04a076c78e3fe907a05fa52cda502644fd97d8cb0f67ef89089d

Observation e5b4da61-6a7d-491f-a1c5-dce6866f8e74 · outbound

This paper cites Adapting word2vec to named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Adapting word2vec to named entity recognition,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.438676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.125759Z digest=sha256:27e8842df3f38256ed6c4abd0479daa30aadfe6174376565b5b33a8c7b311190

Observation 6b6ce538-bcdc-4f80-975d-43ffbd256abb · outbound

This paper cites Named entity recognition using word embedding as a feature,.

Open Named Entity Modeling from Embedding Distribution Named entity recognition using word embedding as a feature,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.424826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.130342Z digest=sha256:4dbc8b41568b023ba6e063b1bef57e7abca5bf3a57a0f949d73b2c074087ec9d

Observation 8545b68f-ee7f-4d98-9516-729c98191988 · outbound

This paper cites Exploiting Similarities among Languages for Machine Translation.

Open Named Entity Modeling from Embedding Distribution Exploiting Similarities among Languages for Machine Translation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T06:07:18.135782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:07:18.135782Z digest=sha256:357a79e27fa774c4339d0c7fbba860ead31712f81df52336ee54682e7f5e37cf

Observation 173b2684-b2da-45b8-8f29-1f56a4913d33 · outbound

This paper cites Cheap translation for cross-lingual named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Cheap translation for cross-lingual named entity recognition,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.410891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.140745Z digest=sha256:721eb36c968d56d84a3e7524e18045aaf191177c0495ac288489b29627f4b4d2

Observation 1853ddd8-c468-4a9d-85ad-0b29010a9ef4 · outbound

This paper cites Weakly supervised cross-lingual named entity recognition via effective annotation and representation projection,.

Open Named Entity Modeling from Embedding Distribution Weakly supervised cross-lingual named entity recognition via effective annotation and representation projection,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.396690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.145195Z digest=sha256:4e3658fc2944cbdfebe731a70d63ff5ff18d26843f439b3a88f58b44fec8f0d4

Observation 2af4860f-4f06-4a54-8c77-154eef4f948d · outbound

This paper cites Phonolog- ically aware neural model for named entity recognition in low resource transfer settings,.

Open Named Entity Modeling from Embedding Distribution Phonolog- ically aware neural model for named entity recognition in low resource transfer settings,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.383065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.149644Z digest=sha256:0d9bf86bb8c12f065ec99c8516adf3d20d7579f529b5b6a44c1714cac252f5c9

Observation 79e46602-4bf9-4a74-97e8-75ada885327f · outbound

This paper cites Rolston and K.

Open Named Entity Modeling from Embedding Distribution Rolston and K

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.368884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.154545Z digest=sha256:e83d231d5e37b9c66ecff9e2fbea9ee44e250a415b4d0b1426e8170eb3f20f0c

Observation 31db3b60-6200-45d4-902e-fef35a604ef9 · outbound

This paper cites Multilingual named entity recognition using parallel data and metadata from wikipedia,.

Open Named Entity Modeling from Embedding Distribution Multilingual named entity recognition using parallel data and metadata from wikipedia,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.354679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.158874Z digest=sha256:54b7e8763c35af8daa43926866a5d8565ec14980f63056199959abef19079338

Observation 86589002-6a2e-4dbf-a5fb-9134d8889e17 · outbound

This paper cites Improving multilingual named entity recognition with Wikipedia entity type mapping,.

Open Named Entity Modeling from Embedding Distribution Improving multilingual named entity recognition with Wikipedia entity type mapping,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.340409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.163510Z digest=sha256:6754c3549b012cfd31dfe7c194f25c2f3683d1bb21781a4924552ac1e6068c43

Observation 390cf407-75be-4754-9d09-a419f8dc3746 · outbound

This paper cites Named entity recognition using cross-lingual resources: Arabic as an example,.

Open Named Entity Modeling from Embedding Distribution Named entity recognition using cross-lingual resources: Arabic as an example,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.326530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.167792Z digest=sha256:34cab0dba3a44cb253177652a988e0c72c8691c56a8cc265d46c0261398d88f6

Observation 26c30c70-e7de-4700-a8da-3f296a6c39d6 · outbound

This paper cites Cross- lingual name tagging and linking for 282 languages,.

Open Named Entity Modeling from Embedding Distribution Cross- lingual name tagging and linking for 282 languages,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.312679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.172026Z digest=sha256:7e252af6f934290e9109b4bf253b93818a59b4ebbcc610e3c7b6b5dc5a36694a

Observation 0cc381d1-1bc6-467c-a660-f785f9c12893 · outbound

This paper cites End-to-end sequence labeling via bi-directional LSTM-CNNs-CRF,.

Open Named Entity Modeling from Embedding Distribution End-to-end sequence labeling via bi-directional LSTM-CNNs-CRF,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.298749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.176449Z digest=sha256:4cd93512bece359f3a2f94862415701626264a2a85bb703d66e0984cdc91577c

Observation 26108ace-f0d3-4cb8-be30-486520314716 · outbound

This paper cites Empower sequence labeling with task-aware neural language model,.

Open Named Entity Modeling from Embedding Distribution Empower sequence labeling with task-aware neural language model,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.284343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.180975Z digest=sha256:fd679454c36969b43648838d1807095649c7933bcf8fc5db181fd361be0c0e0a

Observation a265a805-b5c1-46f6-880f-ed88f419bbfa · outbound

This paper cites NCRF++: An open-source neural sequence labeling toolkit,.

Open Named Entity Modeling from Embedding Distribution NCRF++: An open-source neural sequence labeling toolkit,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.269733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.185295Z digest=sha256:7310b2d972f5cff5e7d35dda924a49aebd429c68f93551652bfaed278e561d29

Observation e618a17b-35cf-4dfd-85b4-f1f4c7e869e7 · outbound

This paper cites Experiments in graph-based semi- supervised learning methods for class-instance acquisition,.

Open Named Entity Modeling from Embedding Distribution Experiments in graph-based semi- supervised learning methods for class-instance acquisition,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.255469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.189461Z digest=sha256:ecabfe9a3e6586367f3b61609790f8342656f94a8374d432d06e8f486c834f45

Observation d09b69a5-189c-4efe-a266-1c4ee166c5d0 · outbound

This paper cites Deep active learning for named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Deep active learning for named entity recognition,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.241636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.193845Z digest=sha256:32c283451f9a063925c33455c73f9c16d9da3b836ae43d3584cd174d1516e0c1

Observation 9376564a-b17d-4f4a-905c-b20214b6f023 · outbound

This paper cites Clustype: Effective entity recognition and typing by relation phrase-based cluster- ing,.

Open Named Entity Modeling from Embedding Distribution Clustype: Effective entity recognition and typing by relation phrase-based cluster- ing,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.227334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.198286Z digest=sha256:6d1b9a6407bf739dac47e378afb04c0c8d7b999f42dd195d419e0829991da53f

Observation 1b586193-92e6-47ce-b1fd-6435b3855afa · outbound

This paper cites Learning named entity tagger using domain-specific dictionary,.

Open Named Entity Modeling from Embedding Distribution Learning named entity tagger using domain-specific dictionary,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.212908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.202815Z digest=sha256:1124103fb5b84d55fc711c7e83740bf017a3cfbd9b405f8f0b122f6713c4599a

Observation 5a57c257-a441-4236-9833-b1bd1f745909 · outbound

This paper cites SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data.

Open Named Entity Modeling from Embedding Distribution SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T06:07:18.207246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:07:18.207246Z digest=sha256:2b20c01e20434f013d3c3db783ac943efe285fb8bad7c544f178f5d027590d61

Observation eebdd7d7-eebc-481c-8a4f-af4b5ed04cf7 · outbound

This paper cites Distantly supervised ner with partial annotation learning and reinforcement learning,.

Open Named Entity Modeling from Embedding Distribution Distantly supervised ner with partial annotation learning and reinforcement learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.198213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.212265Z digest=sha256:b4248cc22d2493361d94c0b85dfc55844cdc4c253309aa7be9e563c6ee66d5e4

Observation 6173831e-0a9b-47ed-a7c1-f477e605bdb7 · outbound

This paper cites Better modeling of incomplete annotations for named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Better modeling of incomplete annotations for named entity recognition,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.183273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.216757Z digest=sha256:45cca0c3f017dd6f020a640f44a1a1238492ad980b5647564fc4d76f14ecb57d

Observation 94479712-3d9f-4872-b74c-48b20fe7d179 · outbound

This paper cites Inducing multilingual text analysis tools via robust projection across aligned corpora,.

Open Named Entity Modeling from Embedding Distribution Inducing multilingual text analysis tools via robust projection across aligned corpora,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.167805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.220887Z digest=sha256:7f5bd9e94bc4bd239be5ded4d37f9ec4ca3939a1da4166749f6dac689fe3df23

Observation d7dfd049-9d36-4759-9453-18979458e08c · outbound

This paper cites Mention detection crossing the language barrier,.

Open Named Entity Modeling from Embedding Distribution Mention detection crossing the language barrier,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.152433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.225412Z digest=sha256:9c6f604ec1bb699bedb531139c0ebc1681f356235dc3435ebdb2aa420ebd40b5

Observation ad59202c-d581-4153-b31c-e7a93aa53593 · outbound

This paper cites Cheap translation for cross-lingual named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Cheap translation for cross-lingual named entity recognition,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.136816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.229712Z digest=sha256:21cb66f03380338e467ccb2b3532c6fd73a2ee12b8a9dca7d966a70d33fa90cb

Observation cb04252d-47d8-4ffc-8677-6ce9703148c2 · outbound

This paper cites Cross-lingual Pseudo-Projected Expectation Regularization for Weakly Supervised Learning.

Open Named Entity Modeling from Embedding Distribution Cross-lingual Pseudo-Projected Expectation Regularization for Weakly Supervised Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T06:07:18.234199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:07:18.234199Z digest=sha256:798e124affd9b90bd033e83d0d88d558a7cbce72b8e16f724f65364b31633c1f

Observation edd091d5-16f9-4c89-929a-6a282c006612 · outbound

This paper cites An unsupervised method for word sense tagging using parallel corpora,.

Open Named Entity Modeling from Embedding Distribution An unsupervised method for word sense tagging using parallel corpora,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.122622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.238835Z digest=sha256:535ab5913ce2a10524259846a1eba569d09bd28ceb271a604d09abebc54501ae

Observation 7724ba30-2572-4d61-a37b-bdcad36d1d9a · outbound

This paper cites Cross-Lingual Syntactic Transfer with Limited Resources.

Open Named Entity Modeling from Embedding Distribution Cross-Lingual Syntactic Transfer with Limited Resources

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T06:07:18.243182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:07:18.243182Z digest=sha256:4b43b5d72841299bb5fffcbefd70cb7cbfd2f88e31a9c148e3423a2cb78ffe82

Observation 705d0248-8e40-456d-a390-34fc8c63c7f6 · outbound

This paper cites Nudging the envelope of direct transfer methods for multilingual named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Nudging the envelope of direct transfer methods for multilingual named entity recognition,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.107807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.247865Z digest=sha256:83382a492198a1af209c6dceb13a48b9db2d7151ebd0852882df6cab3b96c4c6

Observation bb3d9f85-ada8-4670-9fa3-af9ddb72c84f · outbound

This paper cites Cross-lingual named entity recog- nition via wikification,.

Open Named Entity Modeling from Embedding Distribution Cross-lingual named entity recog- nition via wikification,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.091578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.251964Z digest=sha256:e8c5afe92192b50eac5b28fca4581e418540d013af426f6b502c7000562bdf6a

Observation f4827f02-2629-40f1-a7b3-9ca0c1d242d2 · outbound

This paper cites Cross-lingual wikification using multilingual embeddings,.

Open Named Entity Modeling from Embedding Distribution Cross-lingual wikification using multilingual embeddings,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.076035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.256286Z digest=sha256:0c7bd468020e3a7c1d9a267211bbdbdccec6d12360698b7a38ded6d7127c4125

Observation 5c12984d-48eb-469c-a414-864edd61a10c · outbound

This paper cites Lexicon infused phrase em- beddings for named entity resolution,.

Open Named Entity Modeling from Embedding Distribution Lexicon infused phrase em- beddings for named entity resolution,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.060559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.260706Z digest=sha256:b20fbf081942a562c6158931e0976c6bf5818f7acdc682cce31dbb018f06d973

Observation d75f5872-f275-4337-9fc3-4110cd1677b5 · outbound

This paper cites Joint entity recognition and disambiguation,.

Open Named Entity Modeling from Embedding Distribution Joint entity recognition and disambiguation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.045246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.265076Z digest=sha256:fb12f59c9f4102e6a3f71514b11d9ce12fbf0d1cab5c7ea43fce83cf5b69ea54

Observation 8d6aadff-1052-4508-b803-18b862b85687 · outbound

This paper cites Chinese named entity recognition with conditional random fields,.

Open Named Entity Modeling from Embedding Distribution Chinese named entity recognition with conditional random fields,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.029470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.270030Z digest=sha256:32a005474dff1e59d19f06e66f6bae5e3321328ecbfb7346aa28171e1e66a502

Observation 5a8bb70f-401a-4589-9e0f-085e996ecb90 · outbound

This paper cites Deep learning for nlp (without magic),.

Open Named Entity Modeling from Embedding Distribution Deep learning for nlp (without magic),

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.014195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.274550Z digest=sha256:ae1fd85022b03f23b727f4e3dd6b5902f477e42426128ca4f85c7f0c3492083d

Observation 2e5b4c82-bd75-4ba5-939c-3e4874748f52 · outbound

This paper cites Modeling multi-turn conversation with deep utterance aggregation,.

Open Named Entity Modeling from Embedding Distribution Modeling multi-turn conversation with deep utterance aggregation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:19.000021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.278999Z digest=sha256:88667793c54aa865762fae2e25fb841ced79cdfab8d71be74878099f08b98d81

Observation ec128372-aab3-4fd4-903c-ab8c48112c23 · outbound

This paper cites Deep contextualized word representations,.

Open Named Entity Modeling from Embedding Distribution Deep contextualized word representations,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.985876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.283800Z digest=sha256:13529dda505015f2bb294d1cc2021ace716f4fbb80cb899ecd0ad1edefd1b987

Observation 70778972-43ba-4419-9e6f-5fe46377c04b · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language understanding,.

Open Named Entity Modeling from Embedding Distribution BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.971098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.288773Z digest=sha256:9b6f580abc4182c5188849c41f5dbb66709e764799c66fd7928f21c941c76e23

Observation 1f43d231-8d93-4248-aaf0-a06d71d3955c · outbound

This paper cites Semantics-aware BERT for language understanding,.

Open Named Entity Modeling from Embedding Distribution Semantics-aware BERT for language understanding,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.956741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.294344Z digest=sha256:ba0a86d1372ea31ecab46cc67fd3fd687a18228d146176d051868d44fce77b1b

Observation 064e194f-5d51-4840-8e77-55a4e48616ae · outbound

This paper cites SG- Net: Syntax-guided machine reading comprehension,.

Open Named Entity Modeling from Embedding Distribution SG- Net: Syntax-guided machine reading comprehension,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.942004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.298789Z digest=sha256:3bad6fee3b61888af45ff22e71deedd55e7213c4fd9f31a23307e75f2b047065

Observation 26a43ff9-0463-4d4f-99b1-4cd28e17fea8 · outbound

This paper cites Contextual string embeddings for sequence labeling,.

Open Named Entity Modeling from Embedding Distribution Contextual string embeddings for sequence labeling,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.926776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.303681Z digest=sha256:003ab342780173eca20d83debf83ca70ce5b732478f7b360b689400ded7fd6a4

Observation e955bb9b-79c9-40ab-97dc-5f61bb307d99 · outbound

This paper cites Visualizing data using t-SNE,.

Open Named Entity Modeling from Embedding Distribution Visualizing data using t-SNE,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.913056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.308285Z digest=sha256:819707815e7cad05297a5a7152cb95cc46246625fe417ac7a8bee6e25572116b

Observation f72ca4fd-1cef-4cb2-943f-f5a61c03ebc5 · outbound

This paper cites Dis- tributed representations of words and phrases and their compositionality,.

Open Named Entity Modeling from Embedding Distribution Dis- tributed representations of words and phrases and their compositionality,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.898999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.312602Z digest=sha256:c36f5b1d51a5bb7af9a476f99d891e97f06128ea01f5e284deef80d383fbb7cd

Observation 5172e5e7-a4ad-4c84-84ed-99093202f1a5 · outbound

This paper cites Maximum entropy models for named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Maximum entropy models for named entity recognition,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.884676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.316889Z digest=sha256:b871160cb2912727e2fe79ae89b921bb16315dd1c69cc7cc242402de957d5c0d

Observation 0e928c8d-425d-4213-acb9-fc7fc95fbd20 · outbound

This paper cites Least squares support vector machine classifiers,.

Open Named Entity Modeling from Embedding Distribution Least squares support vector machine classifiers,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.870991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.321401Z digest=sha256:f112ba1e900be266a84f932fbe89f66c6fd67dbf9e7d1348c0c7ce19ceb0a895

Observation 727c1af4-cd3d-4f26-aa83-41df3b886902 · outbound

This paper cites Support vector data description,.

Open Named Entity Modeling from Embedding Distribution Support vector data description,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.857048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.325767Z digest=sha256:56222a8d67ea95e0557589e7532aff8b45317911024da3c05efaf32ec40a7a83

Observation f419ae2f-24c9-4f0f-917a-40839c0923db · outbound

This paper cites an unresolved cited work.

Open Named Entity Modeling from Embedding Distribution Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-14T06:07:18.843556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.330116Z digest=sha256:7697459040078b8cb7d80955d19e909c1bca37ceb00bb266864bd4d9e083579b

Observation d44c35d3-f31b-40b9-8d44-46d8fdd292b3 · outbound

This paper cites The earth mover’s distance under trans- formation sets,.

Open Named Entity Modeling from Embedding Distribution The earth mover’s distance under trans- formation sets,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.829878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.334593Z digest=sha256:6b8c8294019ff840481e8844d49b3fb2e6d28778fa64202a53361a5153f4ef64

Observation 9e79e5c6-db31-4622-b50d-169cef6b0501 · outbound

This paper cites FPTAS for minimizing the earth mover’s distance under rigid transformations and related problems,.

Open Named Entity Modeling from Embedding Distribution FPTAS for minimizing the earth mover’s distance under rigid transformations and related problems,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.815497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.338857Z digest=sha256:9c5074d07548b03f6df7abeb15016d5d7d57fad13bdb980da119943dddf3ca95

Observation 888fb503-bf83-4af7-8f64-d787de6f8916 · outbound

This paper cites Earth mover’s distance mini- mization for unsupervised bilingual lexicon induction,.

Open Named Entity Modeling from Embedding Distribution Earth mover’s distance mini- mization for unsupervised bilingual lexicon induction,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.801858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.343643Z digest=sha256:0f79f23eab6dc92293f844984d3090b43fd44f37f674928daa993ddf692d511b

Observation bc95ca27-d74d-4b73-b9fd-8f7a40e7dfd6 · outbound

This paper cites A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings,.

Open Named Entity Modeling from Embedding Distribution A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.788252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.348372Z digest=sha256:1a56794a225925f1fb981c03c41f053814e70cc464285af9b14af5bc3a7a028c

Observation 3e598b38-3bfb-461b-8cd6-358c4292f8ef · outbound

This paper cites Wasserstein GAN.

Open Named Entity Modeling from Embedding Distribution Wasserstein GAN

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-14T06:07:18.352943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:07:18.352943Z digest=sha256:a767676ffd798b676e41f715e97e9b28207bdde04def35366654c092c4e09b49

Observation 6d74e2d3-c892-4a9f-9648-d3b548d31e44 · outbound

This paper cites Word translation without parallel data,.

Open Named Entity Modeling from Embedding Distribution Word translation without parallel data,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.774838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.357807Z digest=sha256:adc1b40c9de3ef8df9d8f7acafb0ed098e298abe1dc1e89b1fdddc3bdafe1137

Observation 512a7beb-8f90-4168-a1ad-0f36063b96ed · outbound

This paper cites Geometric tools for computer graphics,.

Open Named Entity Modeling from Embedding Distribution Geometric tools for computer graphics,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.761277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.362533Z digest=sha256:4c3bf8ad3050f5ad63ee3d7a84eb0f8e51e27b878aadf06ed1a0cdc679ca0ae8

Observation 75e78d2f-9827-4eb2-a4ab-4433e4b23074 · outbound

This paper cites Berger, Geometry I[M].

Open Named Entity Modeling from Embedding Distribution Berger, Geometry I[M]

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.747184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.367119Z digest=sha256:b3c7c7a5af494c5c771af42061716642ff65b5ec9973538ee1ba408fa2c29afd

Observation d7c8fd8d-b5f6-4b36-95c0-792e9822a22a · outbound

This paper cites Simon, Affine differential geometry.

Open Named Entity Modeling from Embedding Distribution Simon, Affine differential geometry

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.733546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.371762Z digest=sha256:826bc72945ba84afe79123e950c44d37ac325e76f39d968f0b22fdae79b80be7

Observation b2a6f015-e437-4a3d-883f-9faa17126d6b · outbound

This paper cites New York: Springer, 1997.

Open Named Entity Modeling from Embedding Distribution New York: Springer, 1997

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.719916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.376276Z digest=sha256:f55e53c4c837df4f4bf26e0eaf88798ca06b5f292ade5587d805de1718d5ea13

Observation 6155c87e-7152-4569-890f-db2b0e0fd83e · outbound

This paper cites Why the Monte Carlo method is so important today,.

Open Named Entity Modeling from Embedding Distribution Why the Monte Carlo method is so important today,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.705677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.381007Z digest=sha256:bcff86da78aedf9808b329a3193802187e51192f46a14d82ba19a6cdf6d1a82d

Observation 64f61e35-d5d0-4470-b871-9067bdc848c4 · outbound

This paper cites Robust lexical features for improved neural network named-entity recognition,.

Open Named Entity Modeling from Embedding Distribution Robust lexical features for improved neural network named-entity recognition,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.691640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.385416Z digest=sha256:4ea4db287f24c734c71090a0354377363c431b5a303a6a6dd291c0b941ca57c8

Observation 07b3066f-eb0d-4459-9bce-90449b65757a · outbound

This paper cites Bidirectional LSTM-CRF Models for Sequence Tagging.

Open Named Entity Modeling from Embedding Distribution Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-14T06:07:18.389637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:07:18.389637Z digest=sha256:8db7f6eb8cfb338f350dd8b9a65b79da80c4bbc0bc9c3c613fdc2259d0bc382f

Observation 6b2cc010-c4d1-4d10-8a97-9c476f05ce54 · outbound

This paper cites Conditional random fields: Probabilistic models for segmenting and labeling sequence data,.

Open Named Entity Modeling from Embedding Distribution Conditional random fields: Probabilistic models for segmenting and labeling sequence data,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.676594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.394388Z digest=sha256:ca2f1558bf7c3a99058463ee1e6c93604fc6ac1a1786843645c7c842eed6b97e

Observation f5bb98cc-15a8-4d8a-aafa-8c749f3893e9 · outbound

This paper cites Unsupervised segmentation helps supervised learning of character tagging for word segmentation and named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Unsupervised segmentation helps supervised learning of character tagging for word segmentation and named entity recognition,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.662169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.398926Z digest=sha256:191874d6eaa4ad9805bc370c30b3a3ba6b0d8432ea2cc602d78cf0b66a736b1a

Observation 1d2e469c-5e2c-4347-89dc-4de6dfde7447 · outbound

This paper cites Chinese named entity recognition via joint identification and categorization,.

Open Named Entity Modeling from Embedding Distribution Chinese named entity recognition via joint identification and categorization,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.647419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.403488Z digest=sha256:8fe6a642f32c48177a30d2f80a3a310722340310082c84dc68676298205cd834

Observation ace40bf5-c988-426e-a90f-e12286d5be40 · outbound

This paper cites Character-based LSTM-CRF with radical-level features for chinese named entity recogni- tion,.

Open Named Entity Modeling from Embedding Distribution Character-based LSTM-CRF with radical-level features for chinese named entity recogni- tion,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.632872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.407871Z digest=sha256:7933d2a0afd6017a58028486c9098c54363cf04f050587492c03b8b99a06fbbb

Observation 05f0ca9e-7125-4ada-be91-46e0e326f995 · outbound

This paper cites One billion word benchmark for measuring progress in statistical language modeling,.

Open Named Entity Modeling from Embedding Distribution One billion word benchmark for measuring progress in statistical language modeling,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.617083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.412176Z digest=sha256:ae34e7f54fd1725a4a9e45f70a404531f95c9cfb9e11c4cb5331c20bf636f2c7

Observation 3d210907-d29a-44ea-9868-b6d73370b9bc · outbound

This paper cites Towards improving neural named entity recognition with gazetteers,.

Open Named Entity Modeling from Embedding Distribution Towards improving neural named entity recognition with gazetteers,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.602498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.416745Z digest=sha256:5d706fe1d288dfec7ebe809b05b5fdb93ccec6ca3e8f9d1b66b70a2414a7eb1e

Observation 35be477d-e6d9-4b5d-866e-a061c4e5b5db · outbound

This paper cites Introduction to the conll-2003 shared task: Language-independent named entity recognition,.

Open Named Entity Modeling from Embedding Distribution Introduction to the conll-2003 shared task: Language-independent named entity recognition,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.587252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.421172Z digest=sha256:639cab3adea6736d1cc25dbc2f11fdd20ec859e84740af8024a7cffe8b4b08b7

Observation 2bd5bb22-3696-4718-9de0-810b4b804b2d · outbound

This paper cites Named entity recognition with bidirectional LSTM-CNNs,.

Open Named Entity Modeling from Embedding Distribution Named entity recognition with bidirectional LSTM-CNNs,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.571434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.425588Z digest=sha256:b03d96c0017e9c2b48b7c21a90a9317ecbc95fe7a1269c16f548c9dccc960a99

Observation 0cf13001-8019-4db6-9dc3-84aa77727067 · outbound

This paper cites GRN: Gated relation network to enhance convolutional neural network for named entity recognition,.

Open Named Entity Modeling from Embedding Distribution GRN: Gated relation network to enhance convolutional neural network for named entity recognition,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T06:07:18.555947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T06:07:18.429856Z digest=sha256:5d5131ff513391d5196db3221b0bdf7fa359e283b668bfaedfb7362de547d587

Pith citing papers

No inbound Pith citation observations are available.