Browse State-of-the-Art › Semantic Similarity

Semantic Similarity

534 papers with code · 7 benchmarks · 17 datasets archive 2025-07-28

MethodologyNatural Language Processing

The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.

Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

27 leaderboard tables shown for this task, 7 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 27 until expanded.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
SICK (5 rows) Dependency Tree-LSTM (Tai et al., 2015) Improved Semantic Representations From Tree-Structured Long... code Syntology ran 6 of 15 samples · 9 unverified Compare
Annotated corpus for semantic similarity of clinical trial outcomes (original corpus) (5 rows) BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus") Measuring semantic similarity of clinical trial outcomes using... — — Compare
Annotated corpus for semantic similarity of clinical trial outcomes (expanded corpus) (5 rows) BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus") Measuring semantic similarity of clinical trial outcomes using... — — Compare
BIOSSES (3 rows) BioLinkBERT (large) LinkBERT: Pretraining Language Models with Document Links code Syntology ran 0 of 14 samples · 14 unverified Compare
CHIP-STS (1 row) MacBERT-large CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark code Syntology ran 4 of 16 samples · 12 unverified Compare
ClinicalSTS (1 row) CharacterBERT (base, medical, ensemble) CharacterBERT: Reconciling ELMo and BERT for Word-Level... code Syntology ran 5 of 8 samples · 3 unverified Compare
MedSTS (1 row) NCBI_BERT(base) (P+M) Transfer Learning in Biomedical Natural Language Processing: An... code Syntology ran 0 of 2 samples · 2 unverified Compare
dev evaluation (0 rows) no rows in the archive — —
JSTS (0 rows) no rows in the archive — —
sts dev (0 rows) no rows in the archive — —
sts dev 128 (0 rows) no rows in the archive — —
sts dev 256 (0 rows) no rows in the archive — —
sts dev 512 (0 rows) no rows in the archive — —
sts dev 64 (0 rows) no rows in the archive — —
sts dev 768 (0 rows) no rows in the archive — —
sts test 128 (0 rows) no rows in the archive — —
sts test 256 (0 rows) no rows in the archive — —
sts test 512 (0 rows) no rows in the archive — —
sts test 64 (0 rows) no rows in the archive — —
sts test 768 (0 rows) no rows in the archive — —
sts17 en ua (0 rows) no rows in the archive — —
sts17 es en test (0 rows) no rows in the archive — —
sts17 ua ua (0 rows) no rows in the archive — —
stsb multi mt en (0 rows) no rows in the archive — —
stsb tr (0 rows) no rows in the archive — —
test t (0 rows) no rows in the archive — —
Unknown (0 rows) no rows in the archive — —

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

17 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 534 papers with code (1,564 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

Syntology lines on 14 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.

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