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    Language, speech & LLMs· 1996

    A Maximum Entropy Approach to Natural Language Processing

    Adam L. Berger (first author) · 1996

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    DOI 10.5555/234285.234289OpenAlex W2096175520

    On the reading lists

    Why it matters

    Established maximum-entropy modeling as a practical framework for feature-rich statistical NLP.

    Condensed from the expert lists' notes.

    The record

    First released
    1996 (from OpenAlex)
    Citations
    3,706 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Awards
    ACL Test of Time
    Named by
    both expert lists
    Score
    0.470 · computed rank 268 · consensus 0.43, must-read 0, citations percentile 0.545 (1990s · language), awards 1, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and Semantic Scholar logoSemantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.