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Paper Citation Record · LEDGER

Open Named Entity Modeling from Embedding Distribution

As of 23 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.106126Z digest=sha256:dd1a3c6adc7fe461cce1a40f686629373d6a0f5b52570349721d45aad9345222

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.111359Z digest=sha256:773e1c8dc748bedb8f8e46016656913033eaa94590a134018419f36370388627

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.116032Z digest=sha256:8561cedadfc65422a0acb82e3cae352c5729cf8d83a18e288cc544073cb58fa2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.120716Z digest=sha256:d2d761bfe8deaf792f34b4ff1e613e65c0be1d084757befe0f7a254aa7b9d249

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.125759Z digest=sha256:3e6fa12cca0198b16055b46c7c5bbae79b9480c52f65c77db8229db47f39b94e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.130342Z digest=sha256:790f4282ef7434bf871cc4aa126cd1700edef52ff5ae7fe822e33181a8a33e73

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.140745Z digest=sha256:c2b2b8e53013dbd1d15836f7dc983c31dd5d34d0e706764370d6c7a8ac3eb57d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.145195Z digest=sha256:b42c0da0f16f90374769a46c42b980629f82d5bb4f387f2df4252250419cb29b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.149644Z digest=sha256:04f58d5b695c797c746c8b8d9b7386abf4b7f743006ca3f31a724aca9909b2b3

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.154545Z digest=sha256:0108fb4a0dbbb0c2eb96c98d41a7098ab353960459fb4e81cfc91a11906a47d1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.158874Z digest=sha256:0cba92f5e611a3a56201c8c29363ab971c982a9d7098dcf509c26334314d5298

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.163510Z digest=sha256:a5fcb33cac8f4679eea895be4741866aaa651b9324ec223daf18fef34b198c0b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.167792Z digest=sha256:1009eb20f461b03bd1bbb903bbee5b777be1984ddb60ed2b36b839976549674f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.172026Z digest=sha256:5d2da55c659e7cc4ed421e013bfac0ad9f49fa5c007c0dd04b7cd63115bbf4ed

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.176449Z digest=sha256:7ebabfd32585cd803f7d54c070627f0824c12189c1f3b8dafdb54d70da12c0a6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.180975Z digest=sha256:023273106cffa303a590b16c1cbf1614ee552558a2ed48598a9c82b326711dfb

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.185295Z digest=sha256:1f0a0deef2e2330ca2237896609cf7b0e990e339b14f0c2ac6f0be4baa0b759c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.189461Z digest=sha256:7e733270402a401db6776134ad70cca48922729cbcd07b1aa7a596fdc2b03e65

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.193845Z digest=sha256:32408f4973c6a5723e27f4fdb344552142f60ca1ea13330ed5d0b03f4c83c0e9

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.198286Z digest=sha256:6efe28b0821036fdde01a08326108fe479764379adccba4d4e32b179efe923be

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.202815Z digest=sha256:e21e4872a590fff61eba695503eb66033ac206cc56c8e8dbb4f4323a55e14d25

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.212265Z digest=sha256:7cbae9af0156970236056986638a185c1bcb6d1261ec505f1fb170e0102b4090

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.216757Z digest=sha256:1a2f1be4b9f817a5244e1e397b73fc70977704e1c9a33a274025f87c02486e6d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.220887Z digest=sha256:b04885407790a8300fb04943f0bdf50a6a624bb5569c4d7fc04f8e4f002fed0e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.225412Z digest=sha256:0f633d0dc7d67d37af7e8c263cd98359fac836973cd9c17afc9295d2d7ebcf90

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.229712Z digest=sha256:42a3002dea74e2ae140a47e2dc286ad70ecd402374876277a286edb4f2f6f052

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.238835Z digest=sha256:fcbbcdee908d688c377cf6bacf0292866ee2dc5badf4d3852c46c9560d98b631

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.247865Z digest=sha256:cee4a42f2bcf7824799e429e219f3cb985219ac846986e87b5865b7ff6c25080

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.251964Z digest=sha256:957333256098c45b19ff8acfa836e6b24098e093ce535e3990646dff2370be15

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.256286Z digest=sha256:a0540281595dfb25c37949304c78866149f0acd4f0cdba79141e117fbad0b097

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.260706Z digest=sha256:5dfcb4e1331a79e1be816c6bff04bc496c2ec03a661fd0a061a9549006ca431c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.265076Z digest=sha256:5d45ad9b434817d1b0fe37fe13c66eb69eec064a597166807d43ab5ac56293fd

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.270030Z digest=sha256:577cd8cc06f81fbccb3849b88a002e574e2022bfb92b312da6602897a5ff6b5e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.274550Z digest=sha256:b1c89577a043df400f73a75e9b419e0177bbcf73c69807160214c5636ece56dc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.278999Z digest=sha256:5c66754f1d1ba2026bb7ad8430d8c69cd0f546fcbffc8e15af752612f29acc20

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.283800Z digest=sha256:4ed3abe9dd1930c5eaeaf5f38fe305e6efc43bba60bb48d251253ff21805b9e6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.288773Z digest=sha256:734d8fc00944c8a99da4eada92d6ccf659a3b1e933b77d3bc0bce46db4f8ebf8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.294344Z digest=sha256:45f6215da1a031eaffac9340ad3c4d816de488078b7c2f8b9b9b085086758f94

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.298789Z digest=sha256:0bc0602583b48952e3d3fa1b6122533a39b83b6a5ffc59a1ee73e92d1cea3bec

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.303681Z digest=sha256:fe0d700bce6cb934ff59b68feb9c8d76357c8975580caadf1bf6584266febeda

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.308285Z digest=sha256:b59ee42eccf6faf2a78d715125f1fe29543baa46720be035016c8c2a2cf172c4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.312602Z digest=sha256:486e4592906e5b4fdf90b71efb879da53bb7bb2792cf3fcf5f4329a6be96888c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.316889Z digest=sha256:ecaac4a8f2cc21e034c06dacea5983413105746bf1708f1718ca6587da0ba73d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.321401Z digest=sha256:bba2d7f62d842390c6d01712b2b4187121825a459ffa0c0d0e97c60b5f7e0fe1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.325767Z digest=sha256:af9d0deb28e56f94a80e0ee2636e808ae46e1b9772dcef1b3dea14a8e201fbf6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.330116Z digest=sha256:ebe4640bcd34418a06803f11df6ee2ae97d94edef190dfba435df12a7ecebadc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.334593Z digest=sha256:762e06c28df87b90e08dce2ae871d9ec123e2a457b10ada461338302d9343840

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.338857Z digest=sha256:78d38e4da3e140a48ff1599cd839b8791e008a8ea94cd56b2b18d0453d83a18d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.343643Z digest=sha256:3fb4e7947521db0822514fcec0c6552c257de3c45e9145ecbd9cdc6869cff99e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.348372Z digest=sha256:2ea0f21567543bad514c8ca43a7aa44e552e199c7da61e98b9f95c03ef7c00e8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.357807Z digest=sha256:69cb39f75d4b7aa5942b70f7f4b8b5b732b6768ccf05c3afb7fcfcb99c3631c6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.362533Z digest=sha256:bc388bfb15bdf1426510403f01a43697921b0ab5d853129405e7b10737fb9d1e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.367119Z digest=sha256:56d85ffd7eadaa2dd2f5130a0671bea4f57ed1bd4a45788d9f01e5db0e3a37f8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.371762Z digest=sha256:5530370ed265f4c6265c8e1cd9340269cbf998c4371f5d689cc798fe6bea1d51

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.376276Z digest=sha256:cf01542965e038ee3ecd9f22ee910f65b090a3860814973268609ed0b814086a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.381007Z digest=sha256:77684fca2d82610b7efe77747f142ab793c193f9d3a18615faae1640518d3182

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.385416Z digest=sha256:965837b949f4b3d6bc192ea0c663e65148d5c587fa4833c1a79d10b669d85705

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.394388Z digest=sha256:b99d59dd7e23289d6fd2c41c87ec49c90d183647e8ec3afa4cf7142c246d75df

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.398926Z digest=sha256:dd592dcc5f88cf55c2174fa1752747912352fe6ad0c2e9e00744f023e1071c4c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.403488Z digest=sha256:70163482bd9e18812e5dc6d5c22c7b290c6f4ecaedc449e99a2356062d7a7b1d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.407871Z digest=sha256:789b0b02cea1ae800932e742e2c78b4bb20fe18292547104fd4a0b38b479f111

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.412176Z digest=sha256:26e0490bcfad3620be70f07a78f4ed0e476db84454c88bbcc3d718e9ccbaa4b0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.416745Z digest=sha256:cbafad1af7f80e0eb29c906cd1a83f812c8a1e2bcdbb974f3a5dc0c84ac69e73

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.421172Z digest=sha256:de4dce719f72cd996d6beb1640306f1f339f7cf8ddb148e70c4635f60f6c95d5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T06:07:18.425588Z digest=sha256:79f738424b20f7df137226c83c7ed0d85cb95dd1af79d37ae90b5a7f4398a4c9

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

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source=pdf_text observed=2026-08-14T06:07:18.429856Z digest=sha256:c4e5ab816c95488142640fdd26a227f3ba1ddb710dbbe99ce12b6966e37df6cd

Pith citing papers

No inbound Pith citation observations are available.