{
  "id": "neural-trf-nce",
  "title": "Learning Neural Trans-Dimensional Random Field Language Models with Noise-Contrastive Estimation",
  "authors": [
    {
      "given": "Bin",
      "family": "Wang"
    },
    {
      "given": "Zhijian",
      "family": "Ou"
    }
  ],
  "year": 2018,
  "venue": "ICASSP 2018",
  "paper_url": "https://arxiv.org/abs/1710.10739",
  "summary": "Uses an exponentially tilted reference distribution and noise-contrastive estimation for neural random-field language models.",
  "connection": "Earlier residual formulation and NCE training explicitly discussed in the 2020 paper; its evaluation centers on speech-recognition rescoring.",
  "bibtex_type": "inproceedings",
  "citation_key": "neuraltrfnce",
  "source_urls": [
    "https://arxiv.org/abs/1710.10739"
  ],
  "arxiv_id": "1710.10739",
  "arxiv_first_posted": "2017-10-30",
  "updated_at": "2026-11-10",
  "record_url": "https://yuntiandeng.com/research/papers/neural-trf-nce/"
}