pith:UWLAOSEB
LongBEL: Long-Context and Document-Consistent Biomedical Entity Linking
LongBEL links biomedical mentions consistently across full documents by maintaining a memory of prior predictions.
arxiv:2605.13451 v1 · 2026-05-13 · cs.CL
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\pithnumber{UWLAOSEBDCOIRKPW6IPJ2KVYU6}
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Record completeness
Claims
LongBEL improves over sentence-level generative baselines, with the largest gains on datasets where concepts frequently recur within documents. An ensemble of local, global, and memory-based variants achieves the best results across all benchmarks.
That training the memory component exclusively with cross-validated predictions sufficiently reduces train-inference mismatch and prevents cascading errors without introducing new inconsistencies.
LongBEL improves biomedical entity linking consistency by combining full-document context with memory of previous predictions trained via cross-validation rather than gold labels.
References
Receipt and verification
| First computed | 2026-05-18T02:44:41.890969Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a596074881189c88a9f6f21e9d2ab8a7906a27936f913b88eade7c18287ce21d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UWLAOSEBDCOIRKPW6IPJ2KVYU6 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: a596074881189c88a9f6f21e9d2ab8a7906a27936f913b88eade7c18287ce21d
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by-sa/4.0/",
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