343 citations
- University of AmsterdamNL21 papers
- Amsterdam University of the ArtsNL8 papers
- Shandong UniversityCN5 papers
- Radboud University NijmegenNL2 papers
- Alibaba Group (China)CN1 paper
- Baidu (China)CN1 paper
- Bloomberg (United States)US1 paper
- Indiana UniversityUS1 paper
- Indiana University BloomingtonUS1 paper
- Microsoft (United States)US1 paper
- National University of Defense TechnologyCN1 paper
- National University of SingaporeSG1 paper
21 papers
News Article Retrieval in Context for Event-centric Narrative Creation
Nikos Voskarides, Edgar Meij, Sabrina Sauer +1
Writers such as journalists often use automatic tools to find relevant content to include in their narratives. In this paper, we focus on supporting writers in the news domain to d…
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
Gradient Boosting Machines (GBM) are hugely popular for solving tabular data problems. However, practitioners are not only interested in point predictions, but also in probabilisti…
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
Zihan Wang, Hongye Song, Zhaochun Ren +5
Contract element extraction (CEE) is the novel task of automatically identifying and extracting legally relevant elements such as contract dates, payments, and legislation referenc…
Semi-Supervised Variational Reasoning for Medical Dialogue Generation
Dongdong Li, Zhaochun Ren, Pengjie Ren +4
Medical dialogue generation aims to provide automatic and accurate responses to assist physicians to obtain diagnosis and treatment suggestions in an efficient manner. In medical d…
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
Weiwei Sun, Shuo Zhang, Krisztian Balog +4
Evaluation is crucial in the development process of task-oriented dialogue systems. As an evaluation method, user simulation allows us to tackle issues such as scalability and cost…
Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems
Ziming Li, Julia Kiseleva, Maarten de Rijke
Being able to generate informative and coherent dialogue responses is crucial when designing human-like open-domain dialogue systems. Encoder-decoder-based dialogue models tend to…