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characterwordmodels

chesscommentarygeneration

Harsh Jhamtani*, Varun Gangal*, Eduard Hovy, Graham Neubig, Taylor Berg-Kirkpatrick. Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. ACL 2018

cnn-text-classification

Keras implementation of 'Convolutional Neural Networks for Sentence Classification. EMNLP 2014. Y. Kim.

commitgen

Code and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

compac

Personalized Dialog Generation

diverse-reference-augmentation

Code and Data for our Findings of ACL 2021 paper titled 'Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. Varun Gangal *, Harsh Jhamtani *, Eduard Hovy, Taylor Berg-Kirkpatrick'

flownet

Data and code for Kang et al., EMNLP 2019's paper titled "Linguistic Versus Latent Relations for Modeling a Flow in Paragraphs"

gem-based-entity-knowledge-maintenance

Implementation of Taneva, B., & Weikum, G. (2013, October). Gem-based entity-knowledge maintenance. CIKM 2013

gem-benchmark.github.io

imagecaptioning.pytorch

image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)

latent-anchor-plan

Findings of EMNLP 2020 paper titled 'Narrative Text Generation with a Latent Discrete Plan'

naacl-2021-fudge-controlled-generation

neuralnetworkmodelspytorch

nlp-library

A repository of frequently used nlp algorithms and techniques

ordered-neurons

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

portmanteau-tensorflow

Tensorflow code for "CharManteau: Character Embedding Models For Portmanteau Creation. EMNLP 2017. Varun Gangal*, Harsh Jhamtani*, Graham Neubig, Eduard Hovy, Eric Nyberg"

pytorchnlp

Pytorch project template for ML/NLP projects

rake

A python implementation of the Rapid Automatic Keyword Extraction

reasoning-chains-multihopqa

Code and Data for our EMNLP 2020 paper titled 'Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering'

shakespearizing-modern-english

Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017

sic_xe_cpp

spine

Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018

spot-the-diff

EMNLP 2018. Learning to Describe Differences Between Pairs of Similar Images. Harsh Jhamtani, Taylor Berg-Kirkpatrick.

structured-adversary

"Learning Rhyming Constraints using Structured Adversaries. Jhamtani H., Mehta S., Carbonell J., Berg-Kirkpatrick T. EMNLP-IJCNLP (Short paper) 2019"

textstyletransfer

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

truce

Truth-Conditional Captions for Time Series Data. EMNLP 2021. Harsh Jhamtani, Taylor Berg-Kirkpatrick