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Paper Citation Record · LEDGER

Open Named Entity Modeling from Embedding Distribution

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.

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.106126Z digest=sha256:7981d0802015ba5d1608ce424d28e07b9f4175bf7016c69c2c29cd61481e85de

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.111359Z digest=sha256:319c431d0c293cb35e9c977a22f8d9c66ce88b0377a6876613696e0b449dcc3a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.116032Z digest=sha256:d16b5e509423fe533178932b389d6318d8ec342b3e11f8ae0c02ef23dd3a258f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.120716Z digest=sha256:89d7efa4d2f1fe1769676c39efb0697371103f7595011d6601708a8d4eb292de

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.125759Z digest=sha256:f0d67bfd4b8f3f1bb78214a66ba2c0e08c10fab31f0d8f31e43e773d3ec8ec12

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.130342Z digest=sha256:82c7a778333889772a7906e342db4e0abd7f81476f55fec8c6e0b31a560398a6

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=sha256:88278d2aa02f943cc1a1879193bec707df79c4c97d4405799a285ef3d4f3a542

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.140745Z digest=sha256:cbccca4ca09f76aae612263eb67015fb7a086d55959187d8f9ef8964dc0de714

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.145195Z digest=sha256:f378bbecc86cc9839bbe1b5d9457e9ad2e455ee029e795ebf0f636dc3d11dcea

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.149644Z digest=sha256:9afba3183111b0332c5f5947be731cfd1d49dbcfa96a7a49c1f9fc4e2e95e1d1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.154545Z digest=sha256:6de4b690e9b28cc40c3cb9b5437b77663c35d1a43a395225e5f7dd379a1b5471

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.158874Z digest=sha256:c31ee2320f11d95f990099829335258039c2d4d98e73eb2f3ad515be4be1f410

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.163510Z digest=sha256:0f10b00cc5a969221e1780489538b81ee0d1c86b55813d49dd5f0ced54862d53

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.167792Z digest=sha256:4de8cee0d910d89d167fa06c1e2d4ce66063be88bebe08af538b0f4c8514811d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.172026Z digest=sha256:86c32cce2f062febd001bd4be94ed396a622b1317588754039bb9869b791ceaa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.176449Z digest=sha256:3fe67f1e3778457ec5a556a3bc9d808443fc98dd1ef2a7446589d0408b8aa61a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.180975Z digest=sha256:bad4e048abcc8ebc8e706e01294dd7d5c80e1eab603bd2a16fa073619a30f3c2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.185295Z digest=sha256:63e01affbbc33997760f7b85740d89b30f65cfe2aac7ffcbc3de9702b868c50d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.189461Z digest=sha256:3c7e0978966a57513571fc6f9f40a49aa8ed78ce09990151ed93ce61a809c44a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.193845Z digest=sha256:f7c9632e9d712efd4bb3574cd0de89f3e782c57ae1ebf8df9eabf84f32fb095c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.198286Z digest=sha256:2b3794aff1e94cc63c1a7429e6b8a702dbf179a7835d5be8cf70d9577aacdf7c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.202815Z digest=sha256:b610f3ca9a197362584acd303e5c860403975b5df6a3ef84e5edfcd056160432

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=sha256:525bba2edce448241e4908ff1fd75374c8af441cce6b08c63ded96755b46822c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.212265Z digest=sha256:2e01b3a26adb33da25eb538f594bbce9f579ff007b8c253d2821b4d099673f88

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.216757Z digest=sha256:1a7d4aa5db559046d9980f1c8acb9d54dedac0f392a72c9249da537a28e3cf50

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.220887Z digest=sha256:153cf2054404bd33066af9f0f77f70e082bd3f414ec6cc24c46abe184361193c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.225412Z digest=sha256:d25d46da7cc84cb8fe94e234beafa02e258900754c96b694b23baa82a4baae90

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.229712Z digest=sha256:dac11ff59a8bd924e85c30ebbfea63887eb13eb55cd2f7f8ea9c5cbbe45560fe

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=sha256:0976165090910fbb3f805bee9fc547783666e4710d6fcf4f73cc6e5267c7d8e9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.238835Z digest=sha256:8aa597235c55fccec03fee2a0c4881daebaae61132c34ea24f565e8757399cf0

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=sha256:261a3d7ea2777704fe5288082039992dc726867ea8cf817c78ae09a0ddea359b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.247865Z digest=sha256:b1d9fcdbf751b0e291163431e40d8f111d965212d337b42384c36829d0f41f86

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.251964Z digest=sha256:d0d2723b3758f42b5dbd63bf2d340ca344e8ea71b5d666951a34854255e5a82a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.256286Z digest=sha256:dca6f37d716499b4c5acb4416ae761c731786e8ef59709db5acb0bc44ecab9e8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.260706Z digest=sha256:2033d97fe05bef4a683e7c0e244ea21fe65ca5011adcec7a0341cd6d975dd397

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.265076Z digest=sha256:9def116ccd06723cb0ff3e1177bc3226ca1ada5ade7d92e7acf8e800e7c5989a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.270030Z digest=sha256:ededd81b993b00771558d1e469784683831c1d3c9a0455d2db30cf591bb9de6b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.274550Z digest=sha256:a428c8d8a5418d931e8f326e7ec448b195d12e8713edd89b56289fbbf26b2108

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.278999Z digest=sha256:f8cb5d56141a56c49239b106bf42f97dcfe47a695cd39fdb3c863a5b1113eb64

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.283800Z digest=sha256:32dc8c84057960d794334b712daf2fc05b1d730c5db195b5490c9e373ed9a33c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.288773Z digest=sha256:4f00227f9b2cb7d78b10667cdd49391d71f06136dc850b903cc1f7ce6e3c6c78

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.294344Z digest=sha256:3c4f691b28402a852821d7cb7566a632c92b59f2d3e9e36fda270bc0bf57a995

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.298789Z digest=sha256:a509b27023926bc723b5c223b9f29d581ea13c809d9f3ad2cf89150255c4f1f0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.303681Z digest=sha256:e7f4414827b78d0720d16365d236a0e2df8c0c362fb19d8881bd05d7243a4009

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.308285Z digest=sha256:f9f00487e766d3f70a9975e070b81fe70a5eb82136f674d385d871d308081d93

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.312602Z digest=sha256:f2c0621392097a35315c03d8d8150ea57b68d657a75fa116b0efaba614c0b5f3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.316889Z digest=sha256:9c6b8de3a1c5ae548edc9309a9ee805458a2888120550b06f54bf8ec147c0fee

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.321401Z digest=sha256:d7fb423c1ba3f788ee02a8359b10b7c105f16ee672c8ce397dcf309f72c157ec

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.325767Z digest=sha256:5a8bae3e025855d427c0e24007adac73e64c09d5b947d65de4326adaced5d305

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.330116Z digest=sha256:9bfa5910f8ae40e3992bf668510da7bbebc5854b23f9e3cd767a9bcb92f5456d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.334593Z digest=sha256:6184ca52cab83f742dd76e523bebcb2fa545839732311ad5d809c446eb1e4afb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.338857Z digest=sha256:46095ec80855410e1e83ebec983774185c16479ab1f0e913c83ad18049a2eca2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.343643Z digest=sha256:f3ebff1c15e6fe091e428b5f3e1a56cc556bd7b15ad77e998404389bf38978dc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.348372Z digest=sha256:6cff2458713529b41e654414cb1233798bb07576c4410f27178dcbd5f86d58a9

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=sha256:9c23e1fcd906a00c125e2fa0842074379000a4e6337f7507da2525a27334ecdb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.357807Z digest=sha256:2fb793c17cf89d1db337f3629b9fe6661a06bb75dce85b9e5e9005c376bd60f8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.362533Z digest=sha256:7f1e6a253d6b9fb5f5a9849f38beb5d4fee7fe1b4239695eef95c6e9478969d8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.367119Z digest=sha256:a7fed12f6b88fbe71b50c0cde2fb1f8f3b8a9349a0bfef9c5b41f70856fcb2e2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.371762Z digest=sha256:da59409706d18f1735e5b16f6fd61704abbb92c68ecb2c175ba9d2da6f68e666

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.376276Z digest=sha256:674de101023b537771516792cb2bfc457982b0b058c2644e66fc4ce71806de91

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.381007Z digest=sha256:3eccdd081c63c8a20dc8391626b991e5eed2dbe0ba4c67b558508c6829caef26

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.385416Z digest=sha256:077a4a3e765b3d016db5943e4a050f9f25e7b3366b42a606edf9ae045eaf2e4d

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=sha256:6b0192159fc6828b03c3a8e91b6f81d6fec54438e7d999f707fa888f16990312

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.394388Z digest=sha256:ceb33688af32cf4917ba29b002b7639f94add9b75dcab51dc74ab86a5c5796a0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.398926Z digest=sha256:fe3073adbad4e92839da6b200b3a73ba7e0448a7bf0ce7794327bd3ea3c3f686

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.403488Z digest=sha256:749c780dbc36c0a6617a035249e61ee743152c362c2ef02d0be8bda406280591

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.407871Z digest=sha256:517c9994b9cf39cf96df3c840f72af30d6ace3a9ae24fe041d91c63dcbde080e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.412176Z digest=sha256:500410a84dc3286ac0aaa18c3c8de1664ed7ec04f84ce67a1ecda288bdb38711

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.416745Z digest=sha256:387f04035888e2b003de302b12962d6646185effc1216de289576cd535f68ce6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.421172Z digest=sha256:17cd168edae7333423d264913cb8bc9fd7f16a4cdd1fe9127b23f069be3233e3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.425588Z digest=sha256:6ed10a016a9a44b7d3da34999d01d3e663f7a2cdeba55d85d0d12b922ff243b8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:18.429856Z digest=sha256:88aa19939e2e062620b01f42211d41607e53ded7ee61f7d4ae6891efc77b72a0

Pith citing papers

No inbound Pith citation observations are available.