mlsanityData to 14 Oct 2026

T"ubingen-CL at SemEval-2024 Task 1:Ensemble Learning for Semantic Relatedness Estimation

arXiv 2410.10585 ↗First posted 14 Oct 2024cs.CLcited by 2

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Abstract (arXiv)

The paper introduces our system for SemEval-2024 Task 1, which aims to predict the relatedness of sentence pairs. Operating under the hypothesis that semantic relatedness is a broader concept that extends beyond mere similarity of sentences, our approach seeks to identify useful features for relatedness estimation. We employ an ensemble approach integrating various systems, including statistical textual features and outputs of deep learning models to predict relatedness scores. The findings suggest that semantic relatedness can be inferred from various sources and ensemble models outperform many individual systems in estimating semantic relatedness.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 16 of its 27 references that are in the map. First posted on arXiv 14 Oct 2024.

Builds on

16 of 27 references.

References · 16

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  4. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  5. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  6. 2022Text Embeddings by Weakly-Supervised Contrastive Pre-trainingcited by 1,253
  7. 2017SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluationcited by 1,001
  8. 2020Language-agnostic BERT Sentence Embeddingcited by 627
  9. 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 593
  10. 2018Universal Sentence Encodercited by 489
  11. 2021Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Modelscited by 463
  12. 2015Towards Universal Paraphrastic Sentence Embeddingscited by 60
4 more
  1. 2023Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Modelscited by 35
  2. 2024SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languagescited by 16
  3. 2018Second Language Acquisition Modeling: An Ensemble Approachcited by 4
  4. 2023Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translationcited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Modeling Human Perspectives with Socio-Demographic Representationscited by 1
  2. 2026Quantifying and Predicting Disagreement in Graded Human Ratingscited by 1