majumderb Goto Github PK

aspectsegmentedopinionmining

This projects demonstrates three parts - Aspect Segmenter & Sentiment Scoring for Various Aspects, Latent Aspect Emphasis Regression and Aspect Level Opinion Mining via Summarization

bodhisattwapmajumder.github.io

My Webpage

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

compac

EMNLP 2020: Personalized Dialog Generation with Commonsense

datasciencegame2016

The code is for a CNN to classify the satellite based on orientation of rooftops - Preliminary problem for Data Science Game 2016

datavoyager

docker-manager

exotic-options

This includes code to model the joint distributions to form exotic options - GS Quantify

facebookcrawl

This code is for crawling posts (image) and comments (image) from a particular page in Facebook. To get the access token, one needs to sign in at developers.facebook.com and use the app Facebook Graph API to generate the access tokens

ml-in-r

Contains codes in R to implement Decision Tree, Random Forest, Logistic Regression, XGBoost

naacl

pabst

Code for "Unsupervised Enrichment of Persona-grounded Dialog with Background Stories", ACL 2021

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

poetry2prose

Sequence to Sequence Modeling, Encoder-Decoder

poki

Official Repository for "Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection", ACL 2022

practical_nlp

Final repo for notebooks for the book

recipe-personalization

EMNLP 2019: Generating Personalized Recipes from Historical User Preferences

rexc

rezero

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

sanskrit-ocr

CoNLL 2018: Post-OCR Text Correction in Romanised Sanskrit

skt

Sanskrit compound segmentation using seq2seq model

story-generation

Code for Improving Neural Story Generation by Targeted Common Sense Grounding

thefaultengine

The Fault Engine consists three modules - 1. Transient Alarm detection, 2. Root cause Analysis, 3. Correlated Clusters