Browse State-of-the-Art › Semantic Similarity
Semantic Similarity
534 papers with code · 7 benchmarks · 17 datasets archive 2025-07-28
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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
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| 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 |
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| sts test 768 (0 rows) | no rows in the archive | — | — | ||
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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.
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27 Aug 2019 64 repositories listed Syntology ran 20 of 58 samples · 38 unverified · 11 pointer-only (licence)However, it requires that both sentences are fed into the network, which causes a massive computational overhead: Finding the most similar pair in a collection of 10, 000 sentences requires about 50 million inference…
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19 Apr 2019 19 repositories listed Syntology ran 0 of 7 samples · 7 unverifiedWe present a novel language representation model enhanced by knowledge called ERNIE (Enhanced Representation through kNowledge IntEgration).
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28 Feb 2015 16 repositories listed Syntology ran 6 of 15 samples · 9 unverified · 6 pointer-only (licence)Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong…
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11 Jun 2018 13 repositories listedWe demonstrate that large gains on these tasks can be realized by generative pre-training of a language model on a diverse corpus of unlabeled text, followed by discriminative fine-tuning on each specific task.
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3 Jul 2020 6 repositories listedWhile BERT is an effective method for learning monolingual sentence embeddings for semantic similarity and embedding based transfer learning (Reimers and Gurevych, 2019), BERT based cross-lingual sentence embeddings…
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28 Aug 2018 5 repositories listedA subset of MedSTS (MedSTS_ann) containing 1, 068 sentence pairs was annotated by two medical experts with semantic similarity scores of 0-5 (low to high similarity).
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13 Jun 2019 4 repositories listed Syntology ran 0 of 2 samples · 2 unverified
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15 Feb 2018 4 repositories listedTo calculate the semantic similarity between words and sentences, the proposed method follows an edge-based approach using a lexical database.
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2 Sep 2024 3 repositories listedThrough extensive experimental analysis, we identified three key challenges in designing effective data management strategies that enable the model to achieve long-context capability without sacrificing performance in…
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18 Mar 2021 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)Current video retrieval efforts all found their evaluation on an instance-based assumption, that only a single caption is relevant to a query video and vice versa.
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29 Dec 2020 3 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)Our proposed attack strategy leverages population-based optimization algorithm to craft plausible and semantically similar adversarial examples by observing only the top label predicted by the target model.
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2 Nov 2020 3 repositories listed Syntology ran 3 of 3 samples · 0 unverifiedPre-trained contextual representations like BERT have achieved great success in natural language processing.
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17 Sep 2019 3 repositories listedWe present a scenario where semantic similarity is not enough, and we devise a neural approach to learn semantic relatedness.
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27 Jul 2019 3 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedAn HNN consists of two component models, a masked language model and a semantic similarity model, which share a BERT-based contextual encoder but use different model-specific input and output layers.
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4 Nov 2018 3 repositories listedTherefore, we propose a novel sample mining method, called Online Soft Mining (OSM), which assigns one continuous score to each sample to make use of all samples in the mini-batch.
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20 Aug 2017 3 repositories listedWord embeddings have been found to provide meaningful representations for words in an efficient way; therefore, they have become common in Natural Language Processing sys- tems.
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17 Feb 2016 3 repositories listedCurrent systems of fine-grained entity typing use distant supervision in conjunction with existing knowledge bases to assign categories (type labels) to entity mentions.
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20 Sep 2024 2 repositories listedIn the second stage, LoFI leverages a pre-trained language model with a novel prompt-based tuning method to extract fine-grained information of interest from the collected logs.
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19 Sep 2024 2 repositories listedOur large-scale experiments, spanning 100+ LLMs and 150k minimal pairs in three languages, reveal properties of linguistic similarity from four key aspects: consistency across LLMs, relation to theoretical…
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2 Apr 2024 2 repositories listed Syntology ran 11 of 18 samples · 7 unverifiedConditional sound separation in multi-source audio mixtures without having access to single source sound data during training is a long standing challenge.
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13 Feb 2024 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks.
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16 Dec 2023 2 repositories listedDef2Vec introduces a novel paradigm for word embeddings, leveraging dictionary definitions to learn semantic representations.
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9 Nov 2023 2 repositories listed Syntology ran 7 of 7 samples · 0 unverifiedMost recent studies employed large language models (LLMs) to learn sentence embeddings.
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20 Oct 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)But to achieve these results, LMs must be trained in distinctly un-human-like ways - requiring orders of magnitude more language data than children receive during development, and without perceptual or social context.
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24 Aug 2023 2 repositories listedIn this work, we use a multilingual knowledge distillation approach to train BERT models to produce sentence embeddings for Ancient Greek text.
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18 Jul 2023 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 1 pointer-only (licence)In addition, to enable a flexible knowledge distillation scheme for each data point in novel classes, we develop a learnable weighting function for the regularization, which adaptively promotes knowledge transfer based…
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30 May 2023 2 repositories listed Syntology ran 2 of 5 samples · 3 unverifiedOur pipeline enhances the generation quality of image variations by aligning the image generation process to the source image's inversion chain.
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26 May 2023 2 repositories listedAlignScore is based on a general function of information alignment between two arbitrary text pieces.
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23 May 2023 2 repositories listedHowever, if we want to use a new tokenizer specialized for the target language, we cannot transfer the source model's embedding matrix.
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19 May 2023 2 repositories listedLarge Language Models (LLMs), such as \texttt{ChatGPT}, greatly empower dialogue systems with strong language understanding and generation capabilities.
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.
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