Yulan Yan


2022

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DeepGen: Diverse Search Ad Generation and Real-Time Customization
Konstantin Golobokov | Junyi Chai | Victor Ye Dong | Mandy Gu | Bingyu Chi | Jie Cao | Yulan Yan | Yi Liu
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Demo: https://youtu.be/WQLL93TPB-cAbstract:We present DeepGen, a system deployed at web scale for automatically creating sponsored search advertisements (ads) for BingAds customers. We leverage state-of-the-art natural language generation (NLG) models to generate fluent ads from advertiser’s web pages in an abstractive fashion and solve practical issues such as factuality and inference speed. In addition, our system creates a customized ad in real-time in response to the user’s search query, therefore highlighting different aspects of the same product based on what the user is looking for. To achieve this, our system generates a diverse choice of smaller pieces of the ad ahead of time and, at query time, selects the most relevant ones to be stitched into a complete ad. We improve generation diversity by training a controllable NLG model to generate multiple ads for the same web page highlighting different selling points. Our system design further improves diversity horizontally by first running an ensemble of generation models trained with different objectives and then using a diversity sampling algorithm to pick a diverse subset of generation results for online selection. Experimental results show the effectiveness of our proposed system design. Our system is currently deployed in production, serving ~4% of global ads served in Bing.

2013

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Minimally Supervised Method for Multilingual Paraphrase Extraction from Definition Sentences on the Web
Yulan Yan | Chikara Hashimoto | Kentaro Torisawa | Takao Kawai | Jun’ichi Kazama | Stijn De Saeger
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2011

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Relation Acquisition using Word Classes and Partial Patterns
Stijn De Saeger | Kentaro Torisawa | Masaaki Tsuchida | Jun’ichi Kazama | Chikara Hashimoto | Ichiro Yamada | Jong Hoon Oh | Istvan Varga | Yulan Yan
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

2009

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Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
Yulan Yan | Naoaki Okazaki | Yutaka Matsuo | Zhenglu Yang | Mitsuru Ishizuka
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP