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)

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.

The official Crowd Deliberation data set.

«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.

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

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

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.

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