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WantWords
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An open-source online reverse dictionary.
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WantWords
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### [中](README_ZH.md)|En <p align="center"> <a href="https://wantwords.thunlp.org/"> <img src="resources/wantwords_logo.svg" width = "300" alt="WantWords Logo" /> </a> </p> <h3 align="center">An Open-source Online Reverse Dictionary [<a href="https://wantwords.net/">link</a>] </h3> ## News The WantWords MiniProgram has been launched. Welcome to scan the following QR code to try it! <div align=center> <img src="resources/miniprogram.jpg" width = "300" alt="MiniProgram QR code"/> </div> ## What Is a Reverse Dictionary? Opposite to a regular (forward) dictionary that provides definitions for query words, a reverse dictionary returns words semantically matching the query descriptions. <div align=center> <img src="resources/rd_example.png" alt="rd_example" width = "600"/> </div> ## What Can a Reverse Dictionary Do? * Solve the *tip-of-the-tongue problem*, the phenomenon of failing to retrieve a word from memory * Help new language learners * Help word selection (or word dictionary) anomia patients, people who can recognize and describe an object but fail to name it due to neurological disorder ## Our System ### Workflow <div align=center> <img src="resources/workflow.png" alt="workflow" width = "500" /> </div> ### Core Model The core model of WantWords is based on our proposed **Multi-channel Reverse Dictionary Model** [[paper](https://ojs.aaai.org/index.php/AAAI/article/view/5365/5221)] [[code](https://github.com/thunlp/MultiRD)], as illustrate in the following figure. <div align=center> <img src="resources/MRD_model.png" alt="model" width = "500" /> </div> ### Pre-trained Models and Data You can [download](https://cloud.tsinghua.edu.cn/d/811dcb428ed24480bc60/) and decompress the pre-trained models and data to `BASE_PATH/website_RD/` to reimplement the system. ### Key Requirements * Django==2.2.5 * django-cors-headers==3.5.0 * numpy==1.17.2 * pytorch-transformers==1.2.0 * requests==2.22.0 * scikit-learn==0.22.1 * scipy==1.4.1 * thulac==0.2.0 * torch==1.2.0 * urllib3==1.25.6 * uWSGI==2.0.18 * uwsgitop==0.11 ## Cite If the code or data help you, please cite the following two papers. ``` @inproceedings{qi2020wantwords, title={WantWords: An Open-source Online Reverse Dictionary System}, author={Qi, Fanchao and Zhang, Lei and Yang, Yanhui and Liu, Zhiyuan and Sun, Maosong}, booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations}, pages={175--181}, year={2020} } @inproceedings{zhang2020multi, title={Multi-channel reverse dictionary model}, author={Zhang, Lei and Qi, Fanchao and Liu, Zhiyuan and Wang, Yasheng and Liu, Qun and Sun, Maosong}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, pages={312--319}, year={2020} } ```