Semih Yavuz
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Speech and dialogue systems, Multimodal Machine Learning Applications, Semantic Web and Ontologies
Most-Cited Works
- → Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling(2019)183 cited
- → A Simple Language Model for Task-Oriented Dialogue(2020)159 cited
- → Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset(2019)138 cited
- → DialSQL: Dialogue Based Structured Query Generation(2018)77 cited
- → RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering(2022)74 cited
- → Improving Semantic Parsing via Answer Type Inference(2016)61 cited
- → CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers(2020)41 cited
- → Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors(2023)38 cited
- → Global Relation Embedding for Relation Extraction(2018)29 cited