ambiguity

Nonsensical Math Paper Generator

CrowdTruth framework for crowdsourcing ground truth for training & evaluation of AI systems

Multi-GNSS Precise Point Postioning with Ambiguity Resolution

[EMNLP 2025 main] C3 Benchmark: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations

A handy tool to help design and parse your own language

Code and Assets for "Benchmarking and Improving Text-to-SQL Generation Under Ambiguity" (EMNLP 2023)

Drainage: A Unifying Framework for Addressing Class Uncertainty

🐶 Data for AmbigNLG: Addressing Task Ambiguity in Instruction for NLG (Niwa and Iso; EMNLP 2024)

This is the code for the paper "Embracing Ambiguity: Shifting the Training Target of NLI Models".

Pytorch implementation of "Aligning Language Models to Explicitly Handle Ambiguity" (EMNLP 2024)

The official Crowd Deliberation data set.

Transform the given type to another type during defining a method

Psychtoolbox task scripts used to run the medical decision making study. Contains both medical and monetary decision making.

Comparative study of different NER models through User Interface.

Code for the paper Sentence Ambiguity, Grammaticality and Complexity Probes

Virtual bingo-blower in js for risk and ambiguity experiments, built on matter.js

«Скилл грамматики для юриста»: проверка формы юридического текста (синтаксическая неоднозначность, пунктуация, область действия «и/или», границы сроков, анафора, деонтическая модальность) на праве РФ. Третий элемент тривиума грамматика·логика·риторика, парный к pravo-logika и pravo-ritorika. Показывает оба прочтения, выбор оставляет автору. MIT.

Resolving Ambiguities in Text-to-SQL Systems . We propose the RAQS-SQL framework to Resolve Ambiguities in QuestionS for Text-to-SQL system. To handle schema-level ambiguity, we use a model that aligns the query intent directly with relevant database columns.

Simulate choice data based on behavioral model, and test whether model fitting can recover parameters.

This repository contains data, materials, and code for computing contextual representations and the semantic diversity metric from Cevoli, Watkins & Rastle (2020).