Papers by Yanling Cui
TITA: A Two-stage Interaction and Topic-Aware Text Matching Model (2021.naacl-main)
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| Challenge: | Existing models for keyword-document matching do not define topic-aware relevance clearly. |
| Approach: | They propose a two-stage interaction and topic-aware text matching model to solve this problem . they propose to combine latent topic of document with deep neural representation to model complex interactions between keyword and document. |
| Outcome: | The proposed model outperforms other well-designed baselines and shows excellent performance in the recommendation system. |
BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation (2022.acl-long)
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| Challenge: | Existing IMT systems relying on lexical constrained decoding (LCD) are limited in translation efficiency and quality due to LCD. |
| Approach: | They propose a novel interactive neural machine translation system that uses lexical constraints to decode missing words in a manually revised translation. |
| Outcome: | The proposed system performs significantly better and faster than state-of-the-art IMT on three translation tasks. |
Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism (2021.emnlp-main)
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| Challenge: | Document Retrieval (DR) requires the machine to retrieve and rank documents according to their relevance with the query. |
| Approach: | They propose a ranking model DR-BERT which improves the Document Retrieval task by a task-adaptive training process and a Segmented Token Recovery Mechanism. |
| Outcome: | The proposed ranking model keeps in the top three on the MS MARCO leaderboard since 2020. |