Logic and conversation
By H. Grice. 1975
Subfields: Linguistics, Philosophy
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Linguistics
- Deirdre Wilson
- István Kecskés
- Raymond W. Gibbs Jr.
- Susan E. Brennan
- Herbert H. Clark
- R. Giora
- Markus Tendahl
- R. Schindler
In Philosophy
- Deirdre Wilson
- Elisabeth Camp
- István Kecskés
- Chris Janiszewski
- David I. Beaver
- Rick Nouwen
- Raymond W. Gibbs Jr.
- Mandy Simons
Citations in the corpus
- Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (2013, background): “…not typically provide the kinds of generic conceptual descriptions that are of most use for our purposes: Gricean maxims of relevance and quantity (Grice, 1975) entail that image captions that are written for people usually provide precisely the kind of information that could not be obtained from…”
- ReferItGame: Referring to Objects in Photographs of Natural Scenes (2014, background): “Much work in REG follows the Gricean maxims (Grice, 1975) which provide principles for how people will behave in conversation.”
- Generation and Comprehension of Unambiguous Object Descriptions (2015, background): “e theoretic formulation of the referring expression problem showing that speakers that act optimally with respect to an explicit listener model naturally adhere to the Gricean Maxims of communication [22]. In most of this previous work, authors have focused on small datasets of computer generated ob”
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “ialog-based) theories of explanation. Additional pertinent references are: (Blokpoel et al., 2012; Cardona-Rivera, Price, Winer, and Young, 2016; Core, et al., 2006; Gkatzia, Lemon, and Rieser, 2016; Grice, 1975; Rips, Brem, and Bailenson, 1999; Searle, 1985; Slugoski ) DARPA#TAB#XAI#TAB#Literature#”
- The challenge of crafting intelligible intelligence (2018, methodology): “cludes a Þne-grained recognition pipeline to produce strong image features [3]. Like many contemporary description models [7,8,9,10,11], our model learns to generate a sequence of words using an LSTM [12]. However, we design a novel loss function which encourages generated sentences to include class”
- Language as an Abstraction for Hierarchical Deep Reinforcement Learning (2019, neutral): “In contrast to these prior approaches, language is a flexible representation for transferring a variety of ideas and intentions with minimal assumptions about the problem setting; its compositional nature makes it a powerful abstraction for representing combinatorial concepts and for transferring kn”
- Sarcasm, Pretense, and The Semantics/ Pragmatics Distinction ∗ (2012, background): “…ties 'what is said' closely to " the particular meanings of the elements of [the sentence uttered], their order, and their syntactic character " (Grice 1975/1989a, 87), cannot maintain that ironic utterances of sentences like (15) through (18) mean the opposite of what they say: in these cases…”
- Metarepresentation in linguistic communication (2000, background): “(Grice 1975, 50) Grice’s fundamental contribution to pragmatics was to show that much of verbal comprehension is inferential; but an empirically plausible pragmatic theory should also be concerned with how the inference processes go.”
- Cognition, Language Contact, and the Development of Pragmatic Comprehension in a Study‐Abroad Context (2008, background): “The knowledge required for pragmatic comprehension in this study involved linguistic knowledge, knowledge of cooperative principles (Grice, 1975), and knowledge of target language conventions and rules.”
- Attenuating Information in Spoken Communication: For the Speaker, or for the Addressee?. (2010, background): “…larger grain, there is pressure to avoid telling people what they already know (as laid out in Grice's cooperative principle and maxim of quantity; Grice, 1975); in fact, addressees often presuppose information that is not stated explicitly in an utterance, but is needed to make sense of it…”