aniruddhapdeshpande99

acl-style-files

Official style files for papers submitted to venues of the Association for Computational Linguistics

BASH-Shell

basketballVideoAnalysis

Bomberman

CLDR_CLNER_models

Though language model text embeddings have revolutionized NLP research, their ability to capture high-level semantic information, such as relations between entities in text, is limited. In this paper, we propose a novel contrastive learning framework that trains sentence embeddings to encode the relations in a graph structure. Given a sentence (unstructured text) and its graph, we use contrastive learning to impose relation-related structure on the token level representations of the sentence obtained with a CharacterBERT (El Boukkouri et al., 2020) model. The resulting relation-aware sentence embeddings achieve state-of-the-art results on the relation extraction task using only a simple KNN classifier, thereby demonstrating the success of the proposed method. Additional visualization by a tSNE analysis shows the effectiveness of the learned representation space compared to baselines. Furthermore, we show that we can learn a different space for named entity recognition, again using a contrastive learning objective, and demonstrate how to successfully combine both representation spaces in an entity-relation task.

CLIR

Cross Lingual Information Retriever on Entertainment News Domain

Facial-Expression-Classifier

A PyTorch implementation of Facial Expression classifier trained on VGG19/ResNet18 model for the FER2013 and CK+ datasets.

The-Legend-of-Zelda

VPE-Processing-EN-HI

Code to the Paper "Processing English Verb Phrase Ellipsis for Conversational English-Hindi Machine Translation"

WikiData-To-WikiPages

aniruddhapdeshpande99/The-Legend-of-Zelda

aniruddhapdeshpande99/VPE-Processing-EN-HI

Code to the Paper "Processing English Verb Phrase Ellipsis for Conversational English-Hindi Machine Translation"

aniruddhapdeshpande99/acl-style-files

Official style files for papers submitted to venues of the Association for Computational Linguistics

aniruddhapdeshpande99/basketballVideoAnalysis

aniruddhapdeshpande99/Bomberman

aniruddhapdeshpande99/CLDR_CLNER_models

Though language model text embeddings have revolutionized NLP research, their ability to capture high-level semantic information, such as relations between entities in text, is limited. In this paper, we propose a novel contrastive learning framework that trains sentence embeddings to encode the relations in a graph structure. Given a sentence (unstructured text) and its graph, we use contrastive learning to impose relation-related structure on the token level representations of the sentence obtained with a CharacterBERT (El Boukkouri et al., 2020) model. The resulting relation-aware sentence embeddings achieve state-of-the-art results on the relation extraction task using only a simple KNN classifier, thereby demonstrating the success of the proposed method. Additional visualization by a tSNE analysis shows the effectiveness of the learned representation space compared to baselines. Furthermore, we show that we can learn a different space for named entity recognition, again using a contrastive learning objective, and demonstrate how to successfully combine both representation spaces in an entity-relation task.

aniruddhapdeshpande99/WikiData-To-WikiPages

aniruddhapdeshpande99/CSGO-Demos-Manager

aniruddhapdeshpande99/demofile

Node.js library for parsing Counter-Strike: Global Offensive demo files

aniruddhapdeshpande99/demoinfo

A library to analyze CS:GO demos in C#

aniruddhapdeshpande99/demoinfo-csgo-python

Prototyping with CSGO demo parsing in python

aniruddhapdeshpande99/ellipsis-detection

A rule-based NLP Project to detect licensor and antecedent of nominal ellipsis in a sentence.

aniruddhapdeshpande99/Felix-Unity

Github Page for the game Felix as a part of the course Game Design and Engineering. The game was developed using Unity version 2018.4.12f1

aniruddhapdeshpande99/Handling-English-VPE-for-English-Hindi-MT

English-Hindi machine translation systems have difficulty interpreting verb phrase ellipsis (VPE) in English, and commit errors in translating sentences with VPE. We present a solution and theoretical backing for the treatment of English VPE, with the specific scope of enabling English-Hindi MT, based on an understanding of the syntactical phenomenon of verb-stranding verb phrase ellipsis in Hindi (VVPE). We implement a rule-based system to perform the following sub-tasks: 1) Verb ellipsis identification in the English source sentence, 2) Elided verb phrase head identification 3) Identification of verb segment which needs to be induced at the site of ellipsis 4) Modify input sentence; i.e. resolving VPE and inducing the required verb segment. This system obtains 94.83 percent precision and 83.04 percent recall on subtask (1), tested on 3900 sentences from the BNC corpus [Leech, 1992]. This is competitive with state-of-the-art results. We measure accuracy of subtasks (2) and (3) together, and obtain a 91 percent accuracy on 200 sentences taken from the WSJ cor- pus[Paul and Baker, 1992]. We carried out a manual analysis of the MT outputs of 100 sentences after passing it through our system. We set up a basic metric (1-5) for this evaluation, where 5 indicates drastic improvement, and obtained an average of 3.55.

aniruddhapdeshpande99/IG-Misogyny

aniruddhapdeshpande99/IRE-major-Project---SemEval-Rumour-Detection

aniruddhapdeshpande99/KGInPaint

aniruddhapdeshpande99/LeetCode-Questions-CompanyWise

Contains Company Wise Questions sorted based on Frequency and all time

aniruddhapdeshpande99/LS-Score

aniruddhapdeshpande99/notebooks

Some notebooks for NLP

aniruddhapdeshpande99/Pacman-Killer

aniruddhapdeshpande99/Pastebin

aniruddhapdeshpande99/processeditor

Home of the true Open Source BPM Framework.

aniruddhapdeshpande99/Proxy-Server

aniruddhapdeshpande99/ShopGPT

aniruddhapdeshpande99/TCRA-LLM

aniruddhapdeshpande99/tntspa

Official repository of "Neural Machine Translating from Natural Language to SPARQL"

aniruddhapdeshpande99/TrafficPulse

aniruddhapdeshpande99/Tunnel-Rush

aniruddhapdeshpande99/Wikipedia-Search-Engine