What question did this study set out to answer?

To resolve polysemous technical terms in Chinese patent texts by developing a robust word sense disambiguation framework combining bidirectional recurrent modeling with attention mechanisms.

August 16, 2026Advanced ElectromagneticsOpen Access

Use BiLSTM with Attention Mechanism to Optimize the Accuracy of Word Meaning Correspondence in Technical Texts

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To resolve polysemous technical terms in Chinese patent texts by developing a robust word sense disambiguation framework combining bidirectional recurrent modeling with attention mechanisms.
Implemented a two-layer BiLSTM to capture long-range bidirectional semantic context dependencies.
Integrated a multi-head attention mechanism using dynamic weighting to extract discriminative context vectors.
Employed a bilinear matching paraphrase alignment mechanism to map context vectors to candidate paraphrase embeddings.
Achieved a Top-1 accuracy of 88.6% on high-frequency technical words and an average paraphrase alignment similarity of 0.920.
Demonstrated an average robustness index of 0.159 under perturbation testing, representing error reductions of 62.7% versus Word2Vec+CNN, 53.9% versus standard BiLSTM, and 39.5% versus BERT.

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Implication

Algorithmic evaluation demonstrates improved word sense disambiguation in technical patent texts, indicating enhanced context-sensitive terminology interpretation.

Cite This Study

Gao et al. (2026) studied this question.

synapsesocial.com/papers/6a8179abf2fb91fc834ace65 https://doi.org/10.7716/aem.v15i3.3540

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Implication

Algorithmic evaluation demonstrates improved word sense disambiguation in technical patent texts, indicating enhanced context-sensitive terminology interpretation.

Use BiLSTM with Attention Mechanism to Optimize the Accuracy of Word Meaning Correspondence in Technical Texts

Key Points

Discussion

Implication

Cite This Study

Use BiLSTM with Attention Mechanism to Optimize the Accuracy of Word Meaning Correspondence in Technical Texts

Key Points

Discussion

Implication

Cite This Study

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