Speech and Language Processing, 2nd Edition

By D. Jurafsky, James H. Martin. 2008

109 citations recorded by the source corpus.

Subfields: Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Joelle Pineau
2. Jason Aaron Edward Weston
3. Jianfeng Gao
4. Ryan J. Lowe
5. Iulian Serban
6. Laurent Charlin
7. Mohit Bansal
8. Peter Henderson

Citations in the corpus

• Unsupervised Speech Representation Learning Using WaveNet Autoencoders (2019, methodology): “For text, these correspond to n-gram models [43] and convolutional neural language models [44], [45].”
• A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version (2015, methodology): “…coreference resolution models, semantic role labeling models, semantic similarity models and sentiment analysis models (Manning and Schütze, 1999; Jurafsky and Martin, 2008; Mikolov et al., 2013; Gurevych and Strube, 2004; Lin and Walker, 2011b) that may be used by the Natural Language…”
• A Survey of Paraphrasing and Textual Entailment Methods (2009, background): “Given a bilingual parallel corpus with words aligned across languages, we can estimate the probabilities 26For an introduction to SMT, see chapter 25 of the book “Speech and Language Processing” (Jurafsky & Martin, 2008), and chapter 13 of the book “Foundations of Statistical Natural Language Proces”