Logic and Conversation

By Siobhan Chapman. 2005

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In Linguistics

Citations in the corpus

Experience Grounds Language (2020, background): “The economy of this notion of use has been the subject of much inquiry and debate (Grice, 1975).”
The Curious Case of Neural Text Degeneration (2019, background): “Maxims of Communication (Grice, 1975) have established that people optimize against stating the obvious, making highly predictable text unlikely to occur in practice.”
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling (2021, background): “…(T AY ) E FFECT , the latter two scenarios are unique to conversational systems, where meaning is actively constructed in context between two or more speakers (Austin, 1962; Grice, 1975). that is: While the response of a system may not be unsafe when considered on its own, e.g., “I agree with you!””
Improving alignment of dialogue agents via targeted human judgements (2022, methodology): “We can also use rules to incentivise speech that is more closely aligned with appropriate norms and values: Kasirzadeh and Gabriel (2022) build on work by Grice (1975) in formulating pragmatics principles whose joint enforcement results in effective and beneficial communication.”
Human-centric Dialog Training via Offline Reinforcement Learning (2020, background): “Grice’s Maxims (Grice, 1975)) and empirical experiments correlating human judgement with language features suggest that there are many criteria that could be used to evaluate a conversational agent (Ghandeharioun et al.”
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs (2022, background): “tively with language requires reasoning about what our interlocutor knows or does not know (Grice, 1975; Fernández, 2013; Goodman and Frank, 2016; Enrici et al., 2019).”
MERLOT: Multimodal Neural Script Knowledge Models (2021, background): “Temporal self-supervised learning from transcripts may not lead to as powerful zero-shot object detectors because speakers in videos may be less likely to state the obvious [41, 39], e.”
Stress Test Evaluation for Natural Language Inference (2018, background): “A natural concern is that statements obtained from such constructions are unnatural (Grice, 1975), making the NLI task more difficult for humans.”
Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “For this, Grice [56] distinguishes four categories of maxims that would help to achieve the cooperative principle: 1.”
Emergence of Grounded Compositional Language in Multi-Agent Populations (2017, background): “An interest in pragmatic view of language understanding has been longstanding (Austin 1962; Grice 1975) and has recently argued for in (Gauthier and Mordatch 2016; Lake et al. 2016; Lazaridou, Pham, and Baroni 2016).”
The Hanabi Challenge: A New Frontier for AI Research (2019, background): “signiﬁcant ﬁnancial support for this work that could have inﬂuenced its outcome.”
Modeling Context in Referring Expressions (2016, background): “A broader version of this latter goal was considered in 1975 by Paul Grice who introduced maxims describing cooperative conversation between people [11].”
Video In Sentences Out (2012, methodology): “Maxim of Quantity [Grice, 1975], we only generate color and person-pose adjectives if needed to prevent coreference of nonhuman event participants.”
Speaker-Follower Models for Vision-and-Language Navigation (2018, background): “A long line of work in linguistics, natural language processing, and cognitive science has studied pragmatics: how linguistic meaning is affected by context and communicative goals [18].”
Learning Language Games through Interaction (2016, methodology): “To mitigate this effect, we use a curriculum so that only simple actions are needed in the initial levels, giving the human an opportunity to teach the computer about basic terms such as colors ﬁrst before moving to larger composite actions.”
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints (2016, background): “This kind of error is particularly concerning for summary interpretation and impedes the ability of summaries to convey information effectively (Grice, 1975).”
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation (2017, background): “Much work on reg has appealed to the Gricean maxim stating that speakers should make sure that their contributions are sufficiently informative for the purposes of the exchange, but not more so (Grice, 1975).”