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pith:YL2LFA3J

pith:2026:YL2LFA3JTFL7ZY3I54A2L72CFP
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Explainable Semantic Textual Similarity via Dissimilar Span Detection

Alexander Fraser, Daryna Dementieva, Diego Miguel Lozano

Detecting dissimilar spans between text pairs explains semantic similarity scores and boosts paraphrase detection performance.

arxiv:2603.21174 v1 · 2026-03-22 · cs.CL

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4 Citations open
5 Replications open
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Claims

C1strongest claim

DSD can lead to increased performance in the specific task of paraphrase detection.

C2weakest assumption

The semi-automated pipeline combining LLMs with human verification produces reliable and accurate labels for the Span Similarity Dataset.

C3one line summary

Introduces the Dissimilar Span Detection task and Span Similarity Dataset to explain semantic textual similarity by identifying differing spans between text pairs.

References

18 extracted · 18 resolved · 3 Pith anchors

[1] Explainable Semantic Textual Similarity via Dissimilar Span Detection 2022 · arXiv:2603.21174
[2] the alignment between pairs of segments 1 across the two sen- tences, where the relation between the segments is labeled with a relation type and a similarity score 2018
[3] a woman” and “a man 2016
[4] The modified spans could ei- ther be equivalent in meaning to the original one, or be semantically dissimilar
[5] In our case, {{ de- notes the beginning of a span, and }} its end

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First computed 2026-05-17T23:39:04.366399Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

c2f4b283699957fce368ef01a5ff422bff668c55ad776dbee3a10343b3cd9cab

Aliases

arxiv: 2603.21174 · arxiv_version: 2603.21174v1 · doi: 10.48550/arxiv.2603.21174 · pith_short_12: YL2LFA3JTFL7 · pith_short_16: YL2LFA3JTFL7ZY3I · pith_short_8: YL2LFA3J
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YL2LFA3JTFL7ZY3I54A2L72CFP \
  | 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: c2f4b283699957fce368ef01a5ff422bff668c55ad776dbee3a10343b3cd9cab
Canonical record JSON
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