Ming Cheng
Natural Language Processing · with Gabriel · 2018
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 71 citations into it
- Artificial Intelligence — 69 citations into it
Whom Ming Cheng trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio (in Artificial Intelligence)
- Joseph Weizenbaum (in Natural Language Processing)
Papers from Ming Cheng's perspective
Ordered by how strongly the researchers Ming Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- GloVe: Global Vectors for Word Representation
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Generating Sentences from a Continuous Space
- How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
- Computing Machinery and Intelligence
- METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments
- PARADISE: A Framework for Evaluating Spoken Dialogue Agents
- Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
- Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
- A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version
Their papers
- On Evaluating and Comparing Conversational Agents (2018) — 85 citations
- Conversational AI: The Science Behind the Alexa Prize (2018) — 301 citations
- Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize (2018) — 87 citations
- On Evaluating and Comparing Open Domain Dialog Systems (2018) — 45 citations