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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.106126Z digest=sha256:6f266b0aa1b2087bfa00038e74a0aff1a8f9b334e4bbfb2f567049a2403997ab

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.111359Z digest=sha256:d2745fa6e95c92fd22994f849b05031bf22ac47b83c9821c20a63c2f82515aa8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.116032Z digest=sha256:e1048353a9401e63ccbc563c89607e54eda4533af9daee54c24852af91c4fddb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.120716Z digest=sha256:5541803715dd69e622fc0e0e142a3f4dca6437bf6fbff6b933e9a6f6116aa8dd

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.125759Z digest=sha256:b8c7be38f008ff122043844ccc26c0f8b5396f2d41409c126ea83b0157d65654

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.130342Z digest=sha256:3672193c60a891ecfbd1732e87c7b5bd1484c4dfd23569ca7f303bbf28661f4b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.140745Z digest=sha256:445f161c697739d909e680b27a92f765f176d9f55d30b4f6fe7a4babcf74c5be

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.145195Z digest=sha256:e58ec6ba5055a9f905b00a87772aa8acacf3fb76aeed464114b1ac2861967cec

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.149644Z digest=sha256:9558e8767ecd6d99f6c7d531ae28a282378bfc7e6a28fcabaf1a95e405815984

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.154545Z digest=sha256:8a65d5c4af5db4f5a2d5042a5ba32fcd80765824400e9963cf818a1e71ef0592

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.158874Z digest=sha256:edd418a0a62b05ae44623d3a592ff43e286784f12897181a6bcf0006c16bb24a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.163510Z digest=sha256:81119a4dc9f56cd6ff88eb6d4aed8669c4d3a7605ce331e4918947bb557dd177

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.167792Z digest=sha256:136e5e36613a234304a6d0871dd684dd7a714018118cc7f22dfe81223ad8ef46

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.172026Z digest=sha256:01b3f4848c27c7f81c80350316f1cb0da7db73a1e2601f411b9b315080d6109c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.176449Z digest=sha256:e8f40322d5d76da96267a99e75785ab37babbcdf779c5561bfd0b36a8ec9c80b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.180975Z digest=sha256:78b50b5d1deb1ef22802eebe1ed8305ddd8fac7650303f3b28d1b58305b16fcf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.185295Z digest=sha256:15681e4861462cff253c6a30cec56f83bebab7f8468fa12bb27a74636a336230

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.189461Z digest=sha256:d7c2fd82338994f6a7ebbdf7bb7952f3de79550adfa861257d133a9162da7888

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.193845Z digest=sha256:4543116a5140a38f34bb26d29af0e3f84705916577f6ee57b74779086aaf4aa4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.198286Z digest=sha256:0bf5ba4cd8723368ed89f09105d9e0961f8b88048967fa36668d4ad99ac4bb74

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.202815Z digest=sha256:d2b2e82415d95c4de13d066b66ee5ce54182fd87fc380f256cf512524105db55

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.212265Z digest=sha256:a93d01967b8e66ea0d99ef0654a17ea4d566e594f2f2b371d74d5e89d510541e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.216757Z digest=sha256:9c897a44ac13ca99c77dad17ac9390dddda8eb4b057f7ab90c4e6d4c961d8a55

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.220887Z digest=sha256:1def6d0e95e836ba6b32c014fff6bf1b2e5df9577a602a7e5ce15f7cbfe4217b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.225412Z digest=sha256:0ba6ce1dc60c1d24e586c4b16260e9291e34b3347dcfe78d34e31a94c7cb74e3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.229712Z digest=sha256:897e72f70967aec7d8e253fa7ff1ed5f8249995282a0dc098b00459dcbb45a83

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.238835Z digest=sha256:d9e5d3b72e0bd56e8bbcd7f659657c3a315567510372e716dd4e73ee23fc65ec

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.247865Z digest=sha256:d616853eea45327eac0d0324d6e50643972d53a7ee9528868e44ebcde8c9206e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.251964Z digest=sha256:f5c495942e17fd616fb1e54749ee84e06ac999d2140ad7ab7eca2bdcf8d9aed4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.256286Z digest=sha256:cfecfed1d584aea3990c3b2534f009e971f12c6a3f346e9c22bdca682f896e99

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.260706Z digest=sha256:ca4989eeedc4e0c38e7bb82c0fa6f1e92456d5ef36f5a28320aaa8644030e2fb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.265076Z digest=sha256:11e590934b6c5728ae3708fc9089cf664190bbd3dbe51f6ea2b1c0536287c707

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.270030Z digest=sha256:4d6a8e3febf1fa0fd463aff04502647506e50e66467b5506c3635e228c3b4eb2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.274550Z digest=sha256:e4ef1e537dcb293760db6a7b4d47b34e79f2712d373e377e8121c91d6f58f6fa

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.278999Z digest=sha256:c6c2980693c2e6a3a49660435402bedaa905d067220e2c71c8ed9a820a45b84f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.283800Z digest=sha256:cd8c6217cf31aca4f5717cf318244ab9be9828f7c5234283f32293f2001ce2a1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.288773Z digest=sha256:74aa07a2c01d26b22036d1d561c299dc02d81e3e7c77805e56f1d11227f97353

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.294344Z digest=sha256:b173c2ecf44f6d161988bd7cbab453d3528c5f928566cc4c65ebaaef69b4f337

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.298789Z digest=sha256:a02ae20aae9459b06fde9a3e4c6a7166da168e2ffaed7efde5d90499379cfc27

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.303681Z digest=sha256:76ed6b02999d4bc4bc47244b552ff90c94bb9cc9a079b387a71f2d547daf159f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.308285Z digest=sha256:593a59f97006b40edb503f14c06a9b67f7af58701220da4bb37f1849af83f27f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.312602Z digest=sha256:ed346e4af630585f46c94e6ea684ce7eb7450d77d57af0cc742721f4fe82a4e7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.316889Z digest=sha256:4d892c1bb126ea00f075fb1d3255e0b49599be8c666f5ea615a5d6a59455f8ff

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.321401Z digest=sha256:60da04d60ae634f1418724767b89f0044f2daa4e0dd05e692222992fb75a26ce

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.325767Z digest=sha256:80f54d76a400238d446c35c989e64cd59afb675ae1e63db32a65d27a20beb892

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.330116Z digest=sha256:fdaae8fd809fd659b357b4be013804a510ebb407f38964a51a3a9b0c298501e4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.334593Z digest=sha256:5d950e7be35f7269daae056aa66419f2b7f29a3ab12d1fe3157eb2491fbb863f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.338857Z digest=sha256:41da7963f5e2e3a003a2956e9260ba060211f0a19a88123066867d68ce5d46d5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.343643Z digest=sha256:6d2e176f0b117a4480616dd02666bd6ba45ca8d1f6ddd1af43db1bd6139a5f48

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.348372Z digest=sha256:90b47eb8e16047a15c4fdd92acaacbd068406f4719788ddf741d9591f5803619

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.357807Z digest=sha256:b8e01a72ee44156211925a6607a44172834583e20c9fb19c9747f2fe2f010d0c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.362533Z digest=sha256:b60abbc6af44a0851766e781072728931a9cad750cddd393a64ca49223ba8953

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.367119Z digest=sha256:20ca384c18beda40634e5efd95c53aadae0533a206abe39f799684f71a7f9551

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.371762Z digest=sha256:ab6053464bf0a0c71601a6d967758ef458849b8af289e445452c02e189d38939

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.376276Z digest=sha256:a7a08dc94e36bf718b2b9fde4aa0a6a684ea662a05cc99acb38fc0b0941237e6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.381007Z digest=sha256:ee54f8d2e160d181cd30d9760d2c8d8c922fe305b0cfba57558d1fb2c81b817d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.385416Z digest=sha256:62ef427d8beba73def5017d2713598bcea9399a6741b8b84ebf45b8f80ceedab

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.394388Z digest=sha256:ca6a7e901b2cbfcacb25aff2c5c24e29c4d986d7f80caf5348c4f2ee83333816

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.398926Z digest=sha256:e51b92fa7861fa9409e0a764efb7343959d7829cffad06bcbfc97f0b9b5dd8b7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.403488Z digest=sha256:d55cc637ddacc81016f92575ea3ae6dfb6a647d827d09126d68b6c011eead8b5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.407871Z digest=sha256:16971647be155bfc77258d898aee377a8f63b81421d92a538638871fd914a2cd

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.412176Z digest=sha256:650ee5fa4c13a830aeb2b19a59329b130cafdee96da9e037984709be228a81c1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.416745Z digest=sha256:3f292159a57d46a7d0afd1831ed55b178fd06802d04fa10955225eea3d420eee

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.421172Z digest=sha256:ff9b27ae1a9572c76feaafe436d589c4e0e02042a0c81515fa0231d2b4bb67b0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.425588Z digest=sha256:4bf7f7a24fc7723c6db75ac951f376329b6243547515696c19cf3c61542dd7a2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:07:18.429856Z digest=sha256:096108f9cb7d2995e94511b611f361aa2f9523bd8ed7dfa4d4bdc836ed0f393d

Pith citing papers

No inbound Pith citation observations are available.