Book Reviews: Building Natural Language Generation Systems
By Ehud Reiter, Rick Dale. 2000
404 citations recorded by the source corpus.
Subfields: Artificial Intelligence
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Mohit Bansal
- Mirella Lapata
- Emiel Krahmer
- Yejin Choi
- Trevor Darrell
- Percy Liang
- Tamara L. Berg
- Luke S. Zettlemoyer
Citations in the corpus
- When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks (2018, methodology): “ing tweets as a sequence of keywords is sufficient to circumvent the unigram feature model embodied by this classifier. A more sophisticated adversary might apply natural language generation techniques [41] to further increase the chances that posts will be deemed legitimate. We simulate 1,932 attacks”
- Modeling Local Coherence: An Entity-Based Approach (2005, background): “The task is, however, challenging considering that most previous efforts have relied on handcrafted rules, valid only for limited domains, with no guarantee of scalability or portability (Reiter and Dale, 2000).”
- Computational Generation of Referring Expressions: A Survey (2012, methodology): “The “paradigms” of reference in Reiter and Dale (2000) are definite descriptions whose primary purpose it is to identify their referent .”
- Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples (2017, background): “ evaluation of the model. Section 6 summarises the contributions of this work and outlines future plans. 2. Related Work Models for NLG can be divided into two groups: statistical and rule-based ones [13]. The latter employ linguistic expertise and work in three dierent phases:(i) document planning ”
- Towards more variation in text generation: Developing and evaluating variation models for choice of referential form (2016, background): “Reiter and Dale (2000) proposed one of the first rule-based models, which opts for a pronominal reference only if the referent was previously mentioned in the discourse and no mention to an entity of same gender can be found between the reference and its antecedent.”
- ReferItGame: Referring to Objects in Photographs of Natural Scenes (2014, background): “One common approach is the Incremental Algorithm (Dale and Reiter, 1995; Dale and Reiter, 2000) which uses logical expressions for generation.”