lil-lab/cb2

Stars
14
Rank 1,438,076 (Top 29 %)
Language
Python
License
MIT License
Created almost 2 years ago
Updated 8 months ago

lil-lab/cb2

lil-lab

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An NLP research and data collection platform.

nlvr

Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.

newsroom

Tools for downloading and analyzing summaries and evaluating summarization systems. https://summari.es/

spf

Cornell Semantic Parsing Framework

touchdown

Cornell Touchdown natural language navigation and spatial reasoning dataset.

kilogram

The KiloGram Tangrams dataset

Jupyter Notebook

atis

chalet

Cornell House Agent Learning Environment

blocks

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

ciff

Cornell Instruction Following Framework

drif

Dynamic Robot Instruction Following

cerealbar

Cereal Bar is a two-player web game designed for studying language understanding agents in collaborative interactions. This repository contains code for the game, a webapp hosting the game, the agent implementation, and recorded interactions in the game. http://lil.nlp.cornell.edu/cerealbar/

amr

Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015)

bandit-qa

Code for Simulating Bandit Learning from User Feedback for Extractive Question Answering.

nccg

Neural Shift Reduce Parser for CCG Semantic Parsing (Misra and Artzi, EMNLP 2016)

lm-class

Materials for a language modeling class, broadly construed

vgnsl_analysis

"What is Learned in Visually Grounded Neural Syntax Acquisition", Noriyuki Kojima, Hadar Averbuch-Elor, Alexander Rush and Yoav Artzi (ACL 2020)

navi

Code for Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions (Artzi and Zettlemoyer, TACL 2013)

navigation-corpus

Navigation data used for Chen and Mooney 2011 and Artzi and Zettlemoyer 2013 (including cleaned up oracle data)

qa-from-hf

dynet_tutorials

Contains various short notebooks showing how to use DyNet. Created for CS 5740 at Cornell University.

Jupyter Notebook

scone

lilgym

lilGym RL benchmark

recnet

A human-driven recommendation system for academic readings.

lilgym-baselines

gsmn

Code for RSS2018 paper on the Grounded Semantic Mapping Network

cerealbar_generation

geoquery-corpus

The GeoQuery corpus

phrase_grounding

kilogram-annotation-task

Task website for collecting tangram annotations from MTurk.

remote-teaching-setup

Remote teaching and talk recording setup