Pith. sign in

Paper Citation Record · LEDGER

Open Named Entity Modeling from Embedding Distribution

As of 20 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:1909.00170.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1909.00170 v2

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

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

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites Neural architectures for named entity recognition,.

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

Reference 1

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.106126Z digest=sha256:6471b8f944ae2c317bec3abad0a1e6638cc56a9b0212297f68699bf7d200776a

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

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

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

Reference 2

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.111359Z digest=sha256:8b32b5b7c5a170597f245967cc297928391baf33829976d21a39cf60a213c5d7

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

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

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

Reference 3

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.116032Z digest=sha256:9c511ba1c1096ebac1f092250e3a58ce3ec99020472175ad25f718e675406605

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

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

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

Reference 4

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.120716Z digest=sha256:7ab6416db3e20311b2c2839e3e63e96ea8f3729dbd66ef700a7043c61dabaa3c

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

This paper cites Adapting word2vec to named entity recognition,.

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

Reference 5

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.125759Z digest=sha256:5105d4237291e5611d987a9408f7fae8127e511e5c87e30c9bef1a05d604e938

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

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

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

Reference 6

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.130342Z digest=sha256:0e2265c8b22067558a170c3c7ea3e398d79abf3c1f8a3a211877acdb0aa22411

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=sha256:68bb85e70fa11d888b4bfd95d470bebabf51dac4071f6079ccd36b5b40a7a2f0

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

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

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

Reference 8

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.140745Z digest=sha256:ffb7a467b7bdfee7f608bee16d754cd7665860b1fec5b4cf906bb791e7c470f9

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

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

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

Reference 9

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.145195Z digest=sha256:801f0a61f80f730dbd0a3f3593176a18ff39ecfb782a5f8641a7858015c6a058

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

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

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

Reference 10

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.149644Z digest=sha256:0d139201cd311a9d07a7d3ebcced8136121b8d41229635dd6456f261bd6d1050

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

This paper cites Rolston and K.

Open Named Entity Modeling from Embedding Distribution Rolston and K

Reference 11

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.154545Z digest=sha256:0345b31865e98f42a3353948104421ba019a63676f5afd6057b93e8a485281c2

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

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

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

Reference 12

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.158874Z digest=sha256:4c74f5b0b22fc27f95b3e38ef4d9e7f6f1b84fa88f4f6831891911935936f3da

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

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

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

Reference 13

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.163510Z digest=sha256:2a866dfcdc4474dee2b37b27f4c56dd566f7c6dd0b96636ca7d9a7b470d5413c

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

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

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

Reference 14

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.167792Z digest=sha256:22800aaa44ff395a4e4bdfdcab9033b6c1d87553313155c110027c52dba23b46

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

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

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

Reference 15

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.172026Z digest=sha256:371c282988fad7a2925254d462e9183834a123924a05ea9cd11ec2bb81d04a77

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

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

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

Reference 16

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.176449Z digest=sha256:29a0ffbf92529070042aa396411530368bb99e9edb0ce10f1c8603eee952c2fb

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

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

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

Reference 17

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.180975Z digest=sha256:1c858f2065a94a432943e1135c92d97c746ac93f995c0d46f867c148971dbc45

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

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

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

Reference 18

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.185295Z digest=sha256:cc2b9a2a1ba6970312ee28b59bdd1a1f114e9d8c1862a9ca004f4b41fea9ac32

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

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

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

Reference 19

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.189461Z digest=sha256:84af2f7a88693244831b76d9a1bf824a0f1b290404801ff5f5ca5b9a569435dc

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

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

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

Reference 20

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.193845Z digest=sha256:0d5fb27c559a86bdc43013c476563a2fe93f02de3fc7a7f0e1e9e109d809c04d

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

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

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

Reference 21

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.198286Z digest=sha256:1c5cd08060c6c11eb674da5d56f9febcdc7bf40bc143d9a292322bac6f4fe924

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

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

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

Reference 22

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.202815Z digest=sha256:a04668ab2b034fa634fd2e69a961291c0a9a59fff6692b69300648a34b331b2a

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:f69b94b51f3306c412eb78e35080dba1a2412ccdb823ea483b3bebdec5998356

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

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

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

Reference 24

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.212265Z digest=sha256:fe4fc5eaed5fa2f2bd2f467be1b16e37d4c5be2a93b948dff89ff72c5c7eb562

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

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

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

Reference 25

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.216757Z digest=sha256:5f008f59b1b373a6f8d89ebd271bd976301c011fe939fa168302fc5b9c894c1c

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

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

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

Reference 26

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.220887Z digest=sha256:e3bd5f4b903cc47d9c51f3c5ce9cd976ffd4a29952d16790e8dbd19071d6f8ca

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

This paper cites Mention detection crossing the language barrier,.

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

Reference 27

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.225412Z digest=sha256:9e7bf4adec9611d675c61d5b56cf209834092860024253837b9ef68745ee7394

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

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

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

Reference 28

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.229712Z digest=sha256:fd591829eac01da9b6ead4749d51ad75f33dc1142270abaf84c3fa000f78cf0c

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=sha256:7d73956ff1e889c8610124b65b93abe44d88120c56f66b331745825612c6c716

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

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

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

Reference 30

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.238835Z digest=sha256:766b749cfcc7eedc1f23782eaa4eb57ddb2e9074df3a4e2b1f500292afc84dd1

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:e2889bf10e25c56852cc16c326aff692508ee04a675be6fc87c411b72d625896

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

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

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

Reference 32

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.247865Z digest=sha256:545d6107c0af23e275d832526c0825f4907621fbd72c4e80fc762f8cc3ddac6f

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

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

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

Reference 33

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.251964Z digest=sha256:1558dcfa94ea79f945c542d7460f94ceacceafe35c5a99936d33c8716caa01df

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

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

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

Reference 34

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.256286Z digest=sha256:c543fab8d5b0cbfd2f2a99238dfdc428bf6421711b75c30d4b2187865f4fd7b0

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

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

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

Reference 35

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.260706Z digest=sha256:2ec4ef8386dc9ff423001c6765c8bfbc2abbf6e919e63e9850c4eed0abf629f6

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

This paper cites Joint entity recognition and disambiguation,.

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

Reference 36

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.265076Z digest=sha256:f160826424ac930b9085a0d3a272a9f2fea8616fc732c0a6d613825bf8ba92cc

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

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

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

Reference 37

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.270030Z digest=sha256:e8c1045d06e7581cd0036ca0cc933ec36722acc0d3634d202c9d4ceec1832386

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

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

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

Reference 38

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.274550Z digest=sha256:9ced74289753b81433b6faaad9e755197df9eec3600324f31107a21b50c2c0da

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

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

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

Reference 39

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.278999Z digest=sha256:318afe7c459670c94fdc9812d0f66a173caa5187eac432c2c66f5640d61732bc

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

This paper cites Deep contextualized word representations,.

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

Reference 40

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.283800Z digest=sha256:b19aa9b71cec343e89cc6c0763312f36d14d6075160ca18d3e42f4f417ecb9ea

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

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

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

Reference 41

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.288773Z digest=sha256:8c698ece16d8431f897502e8ece8e35d48899e9dda7bdb89bb21327706f6d374

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

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

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

Reference 42

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.294344Z digest=sha256:6b7ab8a07a50e77ff75f7fdba7bb7b7b70692929fa90afe06cc233603144364c

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

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

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

Reference 43

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.298789Z digest=sha256:ad393b0992c6ad793f5123de945ac918316207d5c7bbeccd261ff012b30f4946

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

This paper cites Contextual string embeddings for sequence labeling,.

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

Reference 44

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.303681Z digest=sha256:83adc939b4728d8c39c8ea1294cad411bd45ba64614b58f9e446f4b516f7ad62

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

This paper cites Visualizing data using t-SNE,.

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

Reference 45

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.308285Z digest=sha256:42afdc4aaab58300e41d4adc7e634200cb191f8c02f553410351921be7d7d916

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

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

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

Reference 46

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.312602Z digest=sha256:62b31290663cdc3475d2cafffca66b72b13825af2a87a05e5e36a69ce2c993e2

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

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

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

Reference 47

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.316889Z digest=sha256:9437d54cc542e8d9bc7e6cf5548ddb056df61b517e264ff3967f6a7487dcae1b

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

This paper cites Least squares support vector machine classifiers,.

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

Reference 48

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.321401Z digest=sha256:45d65c8ab96c63f7b6392cc8c61c2dfa960a07d6ef7fddf62dfb5e2863c656c5

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

This paper cites Support vector data description,.

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

Reference 49

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.325767Z digest=sha256:be6cd3193490b2716b2bf9224ceef4158c0ee52267b0d62e264271da69649d3f

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

This paper cites an unresolved cited work.

Open Named Entity Modeling from Embedding Distribution Unresolved cited work

Reference 50

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.330116Z digest=sha256:3052d087f1160eef3b394864740e388e0e847a73b3185b66f28c4f087e8ff073

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

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

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

Reference 51

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.334593Z digest=sha256:b904291c6813f7a6c755fcd2ccb265b400fe590c2fbc45facbea328ae9562ea9

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

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

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

Reference 52

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.338857Z digest=sha256:2f2664692b46de5427fbb184960720cd2ac6350ea79ab75694d55eeb8c81f7e9

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

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

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

Reference 53

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.343643Z digest=sha256:3e478a39978aa540e0517ab454f991186a805c1ee6f6732426cbb352d673292f

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

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

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

Reference 54

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.348372Z digest=sha256:89c03503eaa5debb3fa74c75ab19cbd1e5557d2c80f047e8a05d3bab25bacc35

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=sha256:2c4f47849ad885db6b38f5153dadfb3e3073b21d6a2d0d18499b9ac82b0c846c

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

This paper cites Word translation without parallel data,.

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

Reference 56

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.357807Z digest=sha256:2a499f78832ba3907fb99269b56a72c6a293aa72b9bd414f057f11f238a81aa1

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

This paper cites Geometric tools for computer graphics,.

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

Reference 57

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.362533Z digest=sha256:a89f3172897c3615855532a149d6eea2825f6343873b9d970e9df2efba5117e0

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

This paper cites Berger, Geometry I[M].

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

Reference 58

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.367119Z digest=sha256:9e0cd1718e367c2bc1b27bd90bcc60dd64f296dc92e0b4007a6839c2bef3d22b

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

This paper cites Simon, Affine differential geometry.

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

Reference 59

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.371762Z digest=sha256:3d5b327e21c3c9a8e7ca1ec7f6f631fb14a33da7cc4f35089304c3e14a6f22d6

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

This paper cites New York: Springer, 1997.

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

Reference 60

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.376276Z digest=sha256:8e6c1eb22f273dc800d23d196f11c92354cbc620ef5d0faef0daf26d82bd2c68

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

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

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

Reference 61

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.381007Z digest=sha256:89ddd64c39c4e5b43dec42621cf1ee54e4ef7a882e9881354e180caa2354dfee

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

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

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

Reference 62

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.385416Z digest=sha256:8fce533043e261b7ed0bce22a76386ae57b6fb3bde4987d5ed2c4d9a1cae98af

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:e893d6796e5da223c35563964012a3c63b9ee888ee91dcefecaf0ed5552aa280

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

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

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

Reference 64

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.394388Z digest=sha256:47e99fb123c47af92061dc2ff164db7b19ae97951d8c6406be5da7e99d44f3db

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

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

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

Reference 65

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.398926Z digest=sha256:532395c38731ef8b4cc66b07b67db27f7c7737f182631e324bd18b46981c4095

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

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

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

Reference 66

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.403488Z digest=sha256:d7b5bd8355fb40cbca7b587ca54ee1b63993a8771e90be0cda5a68fb31648bf9

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

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

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

Reference 67

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.407871Z digest=sha256:ad3f8943ed7d4cfe05a76048f7b46c8bf703366b3fc79424788bca95f0cb89ae

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

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

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

Reference 68

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.412176Z digest=sha256:ad58311e4ff8916f877aa483edb8666960f6d90771698705fbc2b97298bba99e

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

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

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

Reference 69

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.416745Z digest=sha256:dfc72d20e38d5bd6088aff0a52273ab36ba7578261f1c16fd41f46ee6c9ba430

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

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

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

Reference 70

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.421172Z digest=sha256:b1cc0996a58a83ee87e57cbc17a029b9ad9baa14a0a5b2218e218c7e2c1e4230

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

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

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

Reference 71

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.425588Z digest=sha256:d74a0f0be1881e190ee717ebf568b656be417c923ee6c5200be361ce2bbc4c38

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

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

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

Reference 72

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T06:07:18.429856Z digest=sha256:1a5a94601f3094d7c7a7479de9e31ad28001861131e11716250984d4e90e539b

Pith citing papers

No inbound Pith citation observations are available.