Pradeep Dasigi

Keras implementation of ontology aware token embeddings

Probabilistic Neural Programming

An open-source NLP research library, built on PyTorch.

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Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)

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Semantic parsing baseline reported in the DROP dataset paper

Using deep learning to answer Aristo's science questions

My PhD thesis

Semantic Parser with Execution

Selectional Preference AutoencoDEr

τ²-Bench-Verified is a corrected and verified version of the original τ²-bench benchmark. This release addresses issues discovered in the original dataset where task definitions, expected actions, and evaluation criteria did not properly align with the stated policies or database contents.

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τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment

A high-throughput and memory-efficient inference and serving engine for LLMs

What's In My Big Data (WIMBD) - a toolkit for analyzing large text datasets

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[ICLR 2024] COLLIE: Systematic Construction of Constrained Text Generation Tasks

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

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An interactive PDF reader.

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Software that makes labeling PDFs easy.

The official implementation of "A Simple and Effective Model for Answering Multi-span Questions".

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Example code, data, and commands for the AllenNLP course

Code and material for the AllenNLP Guide

Code for generating data, and for training AllenNLP models for natural language arithmetic, a toy semantic parsing problem

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Repository for testing some ideas of using generative models for executable semantic parsing

A framework for building semantic parsers (including neural module networks) with AllenNLP, built by the authors of AllenNLP

code for demo.allennlp.org

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

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The public website for AllenNLP.

A beautiful Jekyll theme for academics

Scala framework for running experiments with allenai/deep_qa

Jayant Krishnamurthy's (machine) Learning and Optimization Library

Stanford CoreNLP: A Java suite of core NLP tools.

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

Simple Selectional Preference Scorer

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Utilities for simple text processing within BMKEG tools.

This is where we manage maven dependencies, versions and repositories for all our development projects. This serves as the parent for all subsequent work.

Master repository for Machine Translation (11-731) in Spring 2014