The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity-Reference-Cited by-同舟云学术

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The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity

Published:2014 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
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Author:

Bjerva Johannes,Bos Johan,van der Goot Rob,Nissim Malvina

Publisher

Association for Computational Linguistics

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Special Issue of Natural Logic Meets Machine Learning (NALOMA): Selected Papers from the First Three Workshops of NALOMA;Journal of Logic, Language and Information;2023-12-12

2. SiMaLSTM-SNP: novel semantic relatedness learning model preserving both Siamese networks and membrane computing;The Journal of Supercomputing;2023-09-04

3. Enhancing Textual Relatedness Assessment with Combined Transformers-Embedding Similarity Techniques and Machine Learning Regressors;2023 Intelligent Methods, Systems, and Applications (IMSA);2023-07-15

4. Logic-Based Inference With Phrase Abduction Using Vision-and-Language Models;IEEE Access;2023

5. Medical Text Simplification Using Reinforcement Learning (TESLEA): Deep Learning–Based Text Simplification Approach;JMIR Medical Informatics;2022-11-18

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