pragmatics

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

🤗 Code for our EMNLP 2021 paper: "Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes"

🤖 Code for our EMNLP 2020 paper: "Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness"

Neural Machine Translation: Explaining The Meaning Behind Lyrics (DSI Final Capstone Project)

Discourse Based Evaluation of Language Understanding

Automated Semantic Analysis of Discourse Markers

Public resources for authoring and styling Semantics & Pragmatics articles.

Code that accompanies the paper Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and Weibo at EMOJI2019.

Calibrate your listeners! Robust communication-based training for pragmatic speakers. Findings of EMNLP 2021.

Virtual Memory Management, Signal Control, Hardware & System Interruptions, Multiple Processes Life Cycle, Runtime Redirection, Mutex, Time-sharing & Racing Conditions, Execution, System Calls

An experimental system programming language guided by principles rather than precedent

An implementation of Medical-term Concept Mapping via three-levels: Syntax-Semantics-Pragmatics.

Code and data for the PragTag-2023 Shared Task

A curated dataset of 31,822 annotated passages from Italian political speeches, featuring expert-validated explanations of implicatures and presuppositions. Derived from the IMPAQTS corpus, this resource supports research on implicit content, pragmatic inference, and political language understanding.

A collection of C++ classes representing fundamental linguistic units and building blocks of language from phonetics to pragmatics.

A procedural social cognition benchmark for evaluating recursive beliefs, pragmatics, coalition reasoning, negotiation, and workplace norms.

Prompt restructuring pipeline - By harnessing advanced pragmatic reasoning, PragmaticLM deciphers ambiguities and restructures raw prompts into clear, contextually enriched queries, ensuring that downstream large language models receive inputs optimally tailored for high-accuracy inference.

Kagami (鏡): An LLM-powered Japanese naturalness diagnostic system & academic research prototype for Chinese native speakers.