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get_entities

Syntologyentry name in harvested coderead from the graph 2026-09-24

get_entities appears in the code Syntology harvested for 12 papers, as 12 distinct code bodies found in 13 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named get_entities do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 3 of the 12 distinct code bodies named get_entities; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
3ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 13 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

12 papers shown of 12, newest first; 13 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 1 papers added by Syntology; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Improving Information Extraction with Learned Queries added by Syntology 2026-08 (from id) ZhaoyueSun/PHEE/evaluate/compute_iaa.py 1c86299e72aa56cf unverified MIT (permissive)
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective 11 Dec 2023 epfl-ml4ed/courserec/src/UPGPR/utils.py 8b3a172c451e0b27 ran no licence file found · pointer only
LLMaAA: Making Large Language Models as Active Annotators 30 Oct 2023 ridiculouz/llmaaa/src/evaluation.py 75018e1e84c7efa1 ran no licence file found · pointer only
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA 28 Aug 2023 dongguanting/skp-for-kbqa/DPR_inference/fid_preprocess.py 24a0d889f41f7882 ran no licence file found · pointer only
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering 24 May 2023 aviclu/peekacross/compute_scores.py 58fc74bade60d243 unverified MIT (permissive)
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action 20 Mar 2023 microsoft/MM-REACT/langchain/graphs/networkx_graph.py 374d18fea1277220 unverified MIT (permissive)
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network 17 Sep 2020 chakki-works/seqeval/seqeval/metrics/sequence_labeling.py dfb0d9580a2d41b7 unverified MIT (permissive)
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation 6 Apr 2019 AmitMY/chimera/model/open_nmt.py 546ed64d4d32a793 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 lemonhu/ner-bert-pytorch/metrics.py 90ade26d2ce0e22f unverified MIT (permissive)
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning 10 Feb 2017 jojonki/hybrid-code-networks/utils.py 9cd491a290dc15a5 unverified Apache-2.0 (permissive)
arXiv:2025.naacl-long.327 ljyflores/simplification-project/loss_truncation_eda/utils_nli.py f6b190d4673358d1 unverified MIT (permissive)
arXiv:2025.naacl-long.327 ljyflores/simplification-project/utils/utils_eval.py 68266d59953c27ce unverified MIT (permissive)
arXiv:2025.emnlp-main.1418 avipartho/Synth-SBDH/dss/seqeval_custom.py 90ade26d2ce0e22f unverified Apache-2.0 (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections