mlsanityData to 13 Oct 2026

Simple and Effective Text Matching with Richer Alignment Features

arXiv 1908.00300 ↗First posted 1 Aug 2019cs.CL cs.LGcited by 29

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Abstract (arXiv)

In this paper, we present a fast and strong neural approach for general purpose text matching applications. We explore what is sufficient to build a fast and well-performed text matching model and propose to keep three key features available for inter-sequence alignment: original point-wise features, previous aligned features, and contextual features while simplifying all the remaining components. We conduct experiments on four well-studied benchmark datasets across tasks of natural language inference, paraphrase identification and answer selection. The performance of our model is on par with the state-of-the-art on all datasets with much fewer parameters and the inference speed is at least 6 times faster compared with similarly performed ones.

Key facts. Cited by 29 papers in the map (data through 13 Oct 2026). First posted on arXiv 1 Aug 2019.

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Citing papers per year: 2021: 12; 2022: 10; 2023: 3; 2024: 3; 2025: 1.

29 papers.

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  1. 2021Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networkscited by 29
  2. 2021TSQA: Tabular Scenario Based Question Answeringcited by 21
  3. 2021Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue Systemcited by 18
  4. 2021Learning Fine-grained Fact-Article Correspondence in Legal Casescited by 15
  5. 2021Sentence Similarity Based on Contextscited by 12
  6. 2022Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learningcited by 10
  7. 2022Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intentscited by 9
  8. 2022BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERTcited by 9
  9. 2024Comateformer: Combined Attention Transformer for Semantic Sentence Matchingcited by 9
  10. 2021Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matchingcited by 5
  11. 2022MorphTE: Injecting Morphology in Tensorized Embeddingscited by 5
  12. 2021Context-Aware Interaction Network for Question Matchingcited by 4
17 more
  1. 2022Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Datacited by 4
  2. 2023Improving Text Semantic Similarity Modeling through a 3D Siamese Networkcited by 4
  3. 2024Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognitioncited by 4
  4. 2021Attention-based model for predicting question relatedness on Stack Overflowcited by 3
  5. 2021BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matchingcited by 3
  6. 2021LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matchingcited by 2
  7. 2021K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answeringcited by 2
  8. 2023Description-Enhanced Label Embedding Contrastive Learning for Text Classificationcited by 2
  9. 2022DEIM: An effective deep encoding and interaction model for sentence matchingcited by 1
  10. 2022MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classificationcited by 1
  11. 2022Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processingcited by 1
  12. 2024Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Modelscited by 1
  13. 2021A multi-perspective combined recall and rank framework for Chinese procedure terminology normalizationcited by 0
  14. 2022Semantic Matching from Different Perspectivescited by 0
  15. 2022Learning Sequence Representations by Non-local Recurrent Neural Memorycited by 0
  16. 2023KETM:A Knowledge-Enhanced Text Matching methodcited by 0
  17. 2025Boosting Neural Language Inference via Cascaded Interactive Reasoningcited by 0