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Paper Citation Record · LEDGER

Improving Multi-Word Entity Recognition for Biomedical Texts

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1908.05691.

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

pith.paper-citation-record.v1
1908.05691 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:10:20.786183Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5befdd38-3e2c-4fde-a457-e92f6a4f021a · outbound

This paper cites an unresolved cited work.

Improving Multi-Word Entity Recognition for Biomedical Texts Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:10:21.628212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.362426Z digest=sha256:99ca3d5ac4033d76077cb9adbd76505c5f0fc6dc2d8c271ba44d3a7f2d91e781

Observation 0f494dc3-9a59-44dc-9ae3-9d2a83b368ab · outbound

This paper cites A single abbreviation can be interpreted as two different entities according to the context.

Improving Multi-Word Entity Recognition for Biomedical Texts A single abbreviation can be interpreted as two different entities according to the context

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.609153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.369459Z digest=sha256:40d5e2553806c8a8dea4e141fc546f58c7dd1510dec3743d05bac6376c8536a4

Observation 532ce9ce-2b74-4643-9880-e0d3578fe6d2 · outbound

This paper cites For example, “myc-c” refers to the name of a gene or protein.

Improving Multi-Word Entity Recognition for Biomedical Texts For example, “myc-c” refers to the name of a gene or protein

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.586040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.374804Z digest=sha256:7e2499506f0e9dd581e130484e39c387640db777497052eb73e320d8be9188de

Observation 6c29d354-833b-43e1-a2f0-37d532d04e56 · outbound

This paper cites For example, CASP3, caspase-3, and CPP32 denote the same entity [2].

Improving Multi-Word Entity Recognition for Biomedical Texts For example, CASP3, caspase-3, and CPP32 denote the same entity [2]

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.568657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.379956Z digest=sha256:fd2674a1762cfda5cf10f50914df363c70dbfe7770eb44bcf761f333b9f08d43

Observation b0cfa843-2145-4f0e-a44b-d021770119f3 · outbound

This paper cites an unresolved cited work.

Improving Multi-Word Entity Recognition for Biomedical Texts Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:10:21.548547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.386221Z digest=sha256:40db6920dc302b8b3afb756591df7c4ba02a86e91354cd8bf68cdfa1b3edc732

Observation e86624e2-7a51-49cd-afc3-f40ab0f36686 · outbound

This paper cites an unresolved cited work.

Improving Multi-Word Entity Recognition for Biomedical Texts Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:10:21.531484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.392025Z digest=sha256:898e24c375b65ecd17b4da2c3daa242f0e1666860a21982e4e351fe9c7512d17

Observation 714b1405-11af-4ef2-9ce8-5f5440850f5b · outbound

This paper cites BP” (blood pressure) corresponding to laboratory test is a BioNE that occurs in “control BP.

Improving Multi-Word Entity Recognition for Biomedical Texts BP” (blood pressure) corresponding to laboratory test is a BioNE that occurs in “control BP

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.511918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.398515Z digest=sha256:afcd25add80289a6c5b91cb171977c826500162f3a829007fdba7a4c73e0df42

Observation 4aaafb1b-da10-4650-bc1f-ecae8669de4a · outbound

This paper cites Approaches for Bio NER varies from dictionary -based, rule -based, Machine Learning (ML) to hybrid approaches.

Improving Multi-Word Entity Recognition for Biomedical Texts Approaches for Bio NER varies from dictionary -based, rule -based, Machine Learning (ML) to hybrid approaches

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.490991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.404068Z digest=sha256:dc9f12e6f6ffb7a7ca56c3b82e3d2de2213aed3ff845c9c26f5d9a1187e42862

Observation 24060177-b41c-4216-bb08-415f62f4821b · outbound

This paper cites The T cell surface molecule CD28 binds to ligands on accessory cells and APCs ,.

Improving Multi-Word Entity Recognition for Biomedical Texts The T cell surface molecule CD28 binds to ligands on accessory cells and APCs ,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.472024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.410251Z digest=sha256:0ad44486cd58aa878b9fc812769dfa809ef362783afc4778565ac95cb5fa8a08

Observation 54d0d655-5418-4fe5-86ae-87c84e651cab · outbound

This paper cites These approaches depend es sentially on extracting feature set used for training the appropriate algorithm.

Improving Multi-Word Entity Recognition for Biomedical Texts These approaches depend es sentially on extracting feature set used for training the appropriate algorithm

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.454718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.418038Z digest=sha256:53ed3c0fd2249851920388fb13e94fe6f9b6974c59c6dfbb7bb5a064b4ee211e

Observation 344cc849-9fe9-45c0-af72-b6a809a14ddd · outbound

This paper cites human proximal sequence element -binding transcription factor.

Improving Multi-Word Entity Recognition for Biomedical Texts human proximal sequence element -binding transcription factor

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.438630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.423419Z digest=sha256:2f2411b97579aaf1269f46d97a18d68bdcbc002197fb93763f3daeb68564abf8

Observation d27a9ffe-aa36-4bae-a45a-6cdd3e324218 · outbound

This paper cites human",.

Improving Multi-Word Entity Recognition for Biomedical Texts human",

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.420248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.429384Z digest=sha256:162135639365b2621a83dee24b0e14a1126ff27cf3c9575edd2987e67385bfa5

Observation 74bfb2cd-b7e7-4392-bc2e-bb619fdfb0f5 · outbound

This paper cites To evaluate FROBES, we used a Bi-LSTM based model as a baseline system on JNLPBA and i2b2 datasets.

Improving Multi-Word Entity Recognition for Biomedical Texts To evaluate FROBES, we used a Bi-LSTM based model as a baseline system on JNLPBA and i2b2 datasets

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.401580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.439197Z digest=sha256:31a737494e0b64820e0d7a7f3f68fde6f8b446d167f4eeace2727d73a45f71fc

Observation b1086ebb-7389-4125-b709-6dc6bc762b9d · outbound

This paper cites and Sundheim B.: Message Understanding Conference -6: a brief history.

Improving Multi-Word Entity Recognition for Biomedical Texts and Sundheim B.: Message Understanding Conference -6: a brief history

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.385327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.445156Z digest=sha256:97e2a7f76e529fb25cf04e9ad35728a9ca08abc0224f4599450844572fc866d6

Observation 7da1a732-213e-4f5a-8485-17f74381a5ab · outbound

This paper cites Tanabe and W.

Improving Multi-Word Entity Recognition for Biomedical Texts Tanabe and W

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.370588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.451063Z digest=sha256:d86c61f4e8b5114026d5922881e561d6ed7cb96577908de1cf4065b026babc1c

Observation e112946c-9479-4a52-8b87-91c988d4cda6 · outbound

This paper cites Ananiadou and J.

Improving Multi-Word Entity Recognition for Biomedical Texts Ananiadou and J

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.355614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.461185Z digest=sha256:82626c3caee462c6fa802338f47599a210d77835803d0e69851c53cb6494c23a

Observation 8337c33f-af1b-4000-ac68-d24dc14693f5 · outbound

This paper cites and Zhang Z.: A generic classifier -ensemble approach for biomedical named entity recognition, Advances in Knowledge Discovery and Data Mining, 86-97.

Improving Multi-Word Entity Recognition for Biomedical Texts and Zhang Z.: A generic classifier -ensemble approach for biomedical named entity recognition, Advances in Knowledge Discovery and Data Mining, 86-97

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.339533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.471030Z digest=sha256:3862fccc8de923cc5c82d6992d895e369b9592cf9f8789533abf7f0852bc68d7

Observation 5b2d1819-300c-4e4e-855d-0758a0c5de5e · outbound

This paper cites BMC bioinformatics, 18(11), 385, (2017).

Improving Multi-Word Entity Recognition for Biomedical Texts BMC bioinformatics, 18(11), 385, (2017)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.322200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.481046Z digest=sha256:8f1e8a06d42f695e461f0988bc44b6b280364328e0a9fd525ed437a1303df457

Observation 814774d2-d262-4163-9df6-77694aa67c20 · outbound

This paper cites In International Conference on Advanced Intelligent Systems and Informatics (pp.

Improving Multi-Word Entity Recognition for Biomedical Texts In International Conference on Advanced Intelligent Systems and Informatics (pp

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.305217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.488184Z digest=sha256:9a502a69037bf7fc80b7469bc879cd112a3bdcb52936dbdf64bf69613ace752c

Observation a44b9c8f-4378-4d3a-b7df-dd10ca5f29ed · outbound

This paper cites IEEE transactions on neural networks , 5(2), 157-166, (1994).

Improving Multi-Word Entity Recognition for Biomedical Texts IEEE transactions on neural networks , 5(2), 157-166, (1994)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.287436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.499399Z digest=sha256:f035b1ca4d6de0793388d19913407faea092dd5769ca96eb1d2f17b9ee9c248d

Observation fd68fe0e-26b4-426b-9225-0f7b7db28075 · outbound

This paper cites I n International Conference on Machine Learning, pp.

Improving Multi-Word Entity Recognition for Biomedical Texts I n International Conference on Machine Learning, pp

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.268824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.511964Z digest=sha256:ff72aa2001c62fb1eea94d9b2c17cc2e7d27041d7f71d1955e575a2cef430ddb

Observation b34e5778-0f1e-48a3-b6ff-011faed78562 · outbound

This paper cites and Jürgen Schmidhuber.

Improving Multi-Word Entity Recognition for Biomedical Texts and Jürgen Schmidhuber

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.250726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.519709Z digest=sha256:4165a7c195cbbabdb5132c91c2ded520ab76fe7e40b764c6f32f4b338e9562cd

Observation 55a0202c-4ddf-4647-bc57-7d1744a68a97 · outbound

This paper cites Neural Networks, 18(5), 602-610, (2005).

Improving Multi-Word Entity Recognition for Biomedical Texts Neural Networks, 18(5), 602-610, (2005)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.232388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.528055Z digest=sha256:36bd83db2b3455d22a3ca438e58aa66d6ec16166a12e703ad2b77d25b9532314

Observation 96c2f4a5-aa31-4bfb-8dc4-59a323f921d3 · outbound

This paper cites and Frank G.: Tagging unknown proper names using decision trees.

Improving Multi-Word Entity Recognition for Biomedical Texts and Frank G.: Tagging unknown proper names using decision trees

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.213909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.534747Z digest=sha256:cc9e9a35686adbee84a229d3dff21f6c674f0522d67099a5d180abba0dba0f92

Observation 7db5ab9c-aef1-4e16-8640-a80afa2079e0 · outbound

This paper cites 173-179, (1999).

Improving Multi-Word Entity Recognition for Biomedical Texts 173-179, (1999)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.194954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.541524Z digest=sha256:ca7bd335073571bda113b50f9a12fe299e352ab917191d87e15093d6e2e91fb6

Observation 94ae2ef3-03af-4dd4-ac49-9be3d48ecac9 · outbound

This paper cites Computational Linguistics and Chinese Language Processing vol.

Improving Multi-Word Entity Recognition for Biomedical Texts Computational Linguistics and Chinese Language Processing vol

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.178575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.547441Z digest=sha256:dba8d40f47c70222937248332a3f40f6f6ea8f2ed710e1d7a0357e696dbd9dfd

Observation 3bbf87ae-eea7-4d75-a651-048acde4b7d9 · outbound

This paper cites and Lu, B.-L.: Effective tag set selection in Chinese word segmentation via conditional random field modeling.

Improving Multi-Word Entity Recognition for Biomedical Texts and Lu, B.-L.: Effective tag set selection in Chinese word segmentation via conditional random field modeling

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.159634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.552335Z digest=sha256:35ad5e4ef5a0ee29f189b44d5d358bbe64a57d12bb61cc6c4b43f409145f99af

Observation 43e02c3d-c798-4bca-ab61-211dada84237 · outbound

This paper cites "Design challenges and misconceptions in named entity recognition.

Improving Multi-Word Entity Recognition for Biomedical Texts "Design challenges and misconceptions in named entity recognition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.142135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.557363Z digest=sha256:73b90bcb50f63838ad87ea466efbf9bcd86a47ea4dc5fba0d3894e4f370dbf41

Observation ef115697-4f5a-4efa-b7e2-e877169abb44 · outbound

This paper cites C., Okazaki N., Miwa M.

Improving Multi-Word Entity Recognition for Biomedical Texts C., Okazaki N., Miwa M

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.125653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.691561Z digest=sha256:7cdba9beac454f438f2d8219ac1f943508be43543212edb9b5f9228ef5d68efa

Observation ccafa7f5-1564-4455-9e18-ac6f2e7329e9 · outbound

This paper cites Marcus: Text chunking using transformation-based learning.

Improving Multi-Word Entity Recognition for Biomedical Texts Marcus: Text chunking using transformation-based learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.108976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.698886Z digest=sha256:16ab188e3f83c4b4f0f75870fdf806f8559b36d9f4b87b789559f6e23204a924

Observation aff92b47-98d4-4f74-9696-d6fbad702303 · outbound

This paper cites an unresolved cited work.

Improving Multi-Word Entity Recognition for Biomedical Texts Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:10:21.091950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.705201Z digest=sha256:eb0bfae1c79cd2eb256332e1c2fb4e120ee19f0fc049dc0e8a43f258de517f92

Observation 72f6173d-d219-4a0d-909b-e0b95d9d4010 · outbound

This paper cites In Proceedings of the second meeting of the North American Chapter of ACL on Language Technologies, pp.

Improving Multi-Word Entity Recognition for Biomedical Texts In Proceedings of the second meeting of the North American Chapter of ACL on Language Technologies, pp

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.065574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.710742Z digest=sha256:6ca932841dc9d01de143fd3bd1fb1a7d2407058e7056e98f36288ad3ce9d6687

Observation d1fe3f2c-71d4-4197-a183-9c5a757ca60e · outbound

This paper cites an unresolved cited work.

Improving Multi-Word Entity Recognition for Biomedical Texts Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:10:21.046969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.715734Z digest=sha256:0ec85009a6ddcdc9e9a5c4e20112003b487b6ebea0e9bb41d743bcc1e6a20272

Observation 0af2913f-3a0c-4618-80e8-1fdb7dbd7e09 · outbound

This paper cites an unresolved cited work.

Improving Multi-Word Entity Recognition for Biomedical Texts Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:10:21.029826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.721422Z digest=sha256:16cce5f2776b428bdf651fcfcaf7e9b948454c8d522ec1ddc26c46dc988013fe

Observation b5422b44-f9f3-4680-af80-25a192bfd62a · outbound

This paper cites He and M.

Improving Multi-Word Entity Recognition for Biomedical Texts He and M

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.009636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.727627Z digest=sha256:220853068eb46a35d2bd92e3f70c09efa93222e4cc6f68b21cadac23b2bd7e24

Observation 171eb030-f10a-457a-8029-8d06e59518b7 · outbound

This paper cites an unresolved cited work.

Improving Multi-Word Entity Recognition for Biomedical Texts Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:10:20.991408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.733847Z digest=sha256:f7e91c67d822bdf425f70b83fe1d062254d8d079934ff8ac276786299701951c

Observation cbddd450-cf4b-4fc1-8575-a240095a6c39 · outbound

This paper cites and Korhonen A.: A neural network multi-task learning approach to biomedical named entity recognition.

Improving Multi-Word Entity Recognition for Biomedical Texts and Korhonen A.: A neural network multi-task learning approach to biomedical named entity recognition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:20.970079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.739151Z digest=sha256:d256f2b9d729e5256b484defad101ec500fce1f069886478f404fc0a9c252499

Observation f11effb6-0937-4f93-898d-7536e34e3812 · outbound

This paper cites In Pacific symposium on biocomputing, vol.

Improving Multi-Word Entity Recognition for Biomedical Texts In Pacific symposium on biocomputing, vol

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:20.949260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.745234Z digest=sha256:d5d7e90a4592a7c80ba913a42b2a5f412b265482719066beb11c3f627843cdb6

Observation 298f3723-e44b-4540-a9b2-85bf34e54bb6 · outbound

This paper cites Information Processing & Management, vol.

Improving Multi-Word Entity Recognition for Biomedical Texts Information Processing & Management, vol

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:20.927414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.752194Z digest=sha256:5e040d54a13662710fe8fe5c87d0017ed20127f6b1dfe3e52f58db465a6296bc

Observation 3cbd5559-fdd7-4135-9ce8-ece73d9e64db · outbound

This paper cites L., and Hamada A.

Improving Multi-Word Entity Recognition for Biomedical Texts L., and Hamada A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:20.906231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.760011Z digest=sha256:ad23d05b3970a1ba0411ad68cc563d6497ff4ba9cc5fcbaedcac623ddd181d19

Observation 9bde1a3c-e5ab-4d81-996f-1cf08242d327 · outbound

This paper cites Computer methods and programs in biomedicine vol.

Improving Multi-Word Entity Recognition for Biomedical Texts Computer methods and programs in biomedicine vol

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:20.887748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.765991Z digest=sha256:4fb56b48ffa91e5b5a9f9dbf2aa1833ce65cbb31f24b068c81b205bc0ce49652

Observation dce7f24d-ea0f-44cf-aefe-7384a94e1775 · outbound

This paper cites an unresolved cited work.

Improving Multi-Word Entity Recognition for Biomedical Texts Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:10:20.868062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.771764Z digest=sha256:255cbb767c8dc7d820be70d72af0be2e2a44c4eb4bfe4aea9d691b8b13364ffb

Observation 5d045f56-c1c7-4c1c-a493-75b4fcf15f46 · outbound

This paper cites South, Shuying Shen and Scott L.

Improving Multi-Word Entity Recognition for Biomedical Texts South, Shuying Shen and Scott L

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:20.850813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.781080Z digest=sha256:5f7fbcded090d901067886b71d4a1ef58d7cb02ff486d9d1e4f46ac77156cf28

Observation b1c1fef6-e3c2-40d6-a52e-82aacb6aba7f · outbound

This paper cites D., Ohta T., Tateisi Y.

Improving Multi-Word Entity Recognition for Biomedical Texts D., Ohta T., Tateisi Y

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:20.832626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:10:20.786183Z digest=sha256:13dd4593fcfa5ea0ff182a5c3bda63b51728a28e61f1f1b7ad8ebff28ceb9ca9

Pith citing papers

No inbound Pith citation observations are available.