Priya22
PhD student in Computer Science at the Unviersity of Toronto (Computational Linguistics group).
University of TorontoToronto
Pinned Repositories
acl_term_paper
Survey paper on domain adaptation in NLP
book-nlp
Natural language processing pipeline for book-length documents
drl-nlg-eval
Code for the paper "An Evaluation of Disentangled Representation Learning for Texts", to be published at the Findings of ACL 2021.
EmotionDynamics
Repository for the LREC 2022 submission on Emotion Word Dynamics in Geolocated Tweet data.
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
pdnc-lrec2022
Repo for the LREC 2022 paper The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts.
project-dialogism-novel-corpus
The official repository for the The Project Dialogism Novel Corpus, a dataset of annotated quotations in full-length English novels.
react-annotator
For data collection.
semantic-textual-relatedness
Data and code for the paper "What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study."
speaker-attribution-acl2023
Priya22's Repositories
Priya22/EmotionDynamics
Repository for the LREC 2022 submission on Emotion Word Dynamics in Geolocated Tweet data.
Priya22/project-dialogism-novel-corpus
The official repository for the The Project Dialogism Novel Corpus, a dataset of annotated quotations in full-length English novels.
Priya22/pdnc-lrec2022
Repo for the LREC 2022 paper The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts.
Priya22/semantic-textual-relatedness
Data and code for the paper "What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study."
Priya22/drl-nlg-eval
Code for the paper "An Evaluation of Disentangled Representation Learning for Texts", to be published at the Findings of ACL 2021.
Priya22/speaker-attribution-acl2023
Priya22/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Priya22/react-annotator
For data collection.
Priya22/acl-anthology
Data and software for building the ACL Anthology.
Priya22/BitFit
Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Priya22/charembench
Character Embedding Benchmark (ACL2022)
Priya22/context_semantic_axes
Priya22/cs224n-win23
Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023
Priya22/curated-transformers
🤖 A PyTorch library of curated Transformer models and their composable components
Priya22/dcwe
Code for "Dynamic Contextualized Word Embeddings"
Priya22/disentangle-semantics-syntax
Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)
Priya22/exps-s2svae
Code for EMNLP2020 paper "Do sequence-to-sequence VAEs learn global features of sentences?"
Priya22/jekyll-test
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Priya22/literary-emotion-dynamics
Priya22/llama2.c
Inference Llama 2 in one file of pure C
Priya22/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Priya22/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Priya22/nlg-uncertainty-probes
Code to probe Natural Language Generation (NLG) systems for their uncertainty, and to evaluate it against human production variability (i.e., aleatoric uncertainty)
Priya22/paraphrasing-bleu
Priya22/PPLM
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Priya22/priya22.github.io
personal website
Priya22/sow-reap-paraphrasing
Contains data/code for the paper "Neural Syntactic Preordering for Controlled Paraphrase Generation" (ACL 2020).
Priya22/Style-Embeddings
Priya22/style-transfer-paraphrase
Official code and data repository for our EMNLP 2020 long paper "Reformulating Unsupervised Style Transfer as Paraphrase Generation" (https://arxiv.org/abs/2010.05700).
Priya22/topic-modeling-eval
hoyle et al. 2022 paper