Browse State-of-the-Art › Sentence Embedding
Sentence Embedding
162 papers with code · 0 benchmarks · 8 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
8 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 162 papers with code (407 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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9 Mar 2017 52 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 2 pointer-only (licence)This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.
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16 Jun 2018 14 repositories listedDespite the fast developmental pace of new sentence embedding methods, it is still challenging to find comprehensive evaluations of these different techniques.
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21 Apr 2020 12 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedThe training is based on the idea that a translated sentence should be mapped to the same location in the vector space as the original sentence.
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14 Apr 2021 6 repositories listed Syntology ran 0 of 4 samples · 4 unverifiedLearning sentence embeddings often requires a large amount of labeled data.
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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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27 Apr 2020 4 repositories listedThe proposed technical method initiates by separating sentences of the given text and utilizing the BERT model to generate embeddings for each one.
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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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16 Feb 2020 3 repositories listedYet, it is an open problem to generate a high quality sentence representation from BERT-based word models.
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14 Sep 2017 3 repositories listedRecurrent neural nets (RNN) and convolutional neural nets (CNN) are widely used on NLP tasks to capture the long-term and local dependencies, respectively.
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15 Aug 2016 3 repositories listedThe analysis sheds light on the relative strengths of different sentence embedding methods with respect to these low level prediction tasks, and on the effect of the encoded vector's dimensionality on the resulting…
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22 Jun 2015 3 repositories listedBooks are a rich source of both fine-grained information, how a character, an object or a scene looks like, as well as high-level semantics, what someone is thinking, feeling and how these states evolve through a story.
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5 Apr 2024 2 repositories listedSentence Embedding stands as a fundamental task within the realm of Natural Language Processing, finding extensive application in search engines, expert systems, and question-and-answer platforms.
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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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9 Nov 2022 2 repositories listedThis study opens up avenues for efficient self-supervised learning methods that are more robust than current contrastive methods for sentence embedding.
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14 Oct 2022 2 repositories listedDataset bias has attracted increasing attention recently for its detrimental effect on the generalization ability of fine-tuned models.
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8 Oct 2022 2 repositories listedContrastive learning has been extensively studied in sentence embedding learning, which assumes that the embeddings of different views of the same sentence are closer.
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ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding9 Sep 2021 2 repositories listedUnsup-SimCSE takes dropout as a minimal data augmentation method, and passes the same input sentence to a pre-trained Transformer encoder (with dropout turned on) twice to obtain the two corresponding embeddings to…
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9 Sep 2021 2 repositories listedContrastive learning has been gradually applied to learn high-quality unsupervised sentence embedding.
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10 Nov 2019 2 repositories listedSemantic sentence embedding models encode natural language sentences into vectors, such that closeness in embedding space indicates closeness in the semantics between the sentences.
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21 Oct 2019 2 repositories listedHow can neural networks perform so well on compositional tasks even though they lack explicit compositional representations?
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6 Mar 2019 2 repositories listedWe formulate such a challenging problem as lifelong relation extraction and investigate memory-efficient incremental learning methods without catastrophically forgetting knowledge learned from previous tasks.
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6 Nov 2018 2 repositories listedSentence embedding is an effective feature representation for most deep learning-based NLP tasks.
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29 Aug 2018 2 repositories listedWe present a framework for building unsupervised representations of entities and their compositions, where each entity is viewed as a probability distribution rather than a vector embedding.
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27 Jul 2018 2 repositories listedThen we used domain-category analysis as an auxiliary task to train neural sentence embedding for OOD sentence detection.
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3 Jun 2018 2 repositories listed Syntology ran 4 of 17 samples · 13 unverifiedOne way to ensure this is by adding constraints for true paraphrase embeddings to be close and unrelated paraphrase candidate sentence embeddings to be far.
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19 May 2025 1 repository listedPrevious studies usually focus on prompt engineering to guide LLMs to encode the core semantic information of the sentence into the embedding of the last token.
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23 Apr 2025 1 repository listedThe key idea is to examine differences between log-likelihood for masked and original variants of data that sentence embedding models have been pre-trained on, calculated on the embedding space of the attacker.
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16 Mar 2025 1 repository listedIn this paper, we propose IPCGRL, an instruction-based procedural content generation method via reinforcement learning, which incorporates a sentence embedding model.
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23 Feb 2025 1 repository listedParody is an emerging phenomenon on social media, where individuals imitate a role or position opposite to their own, often for humor, provocation, or controversy.
Syntology lines on 6 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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