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261 search results found

Maxent Ner Tagger ⭐ 8

Maximum entropy named-entity recognition (NER)

Nlp Attribute Extraction Flipkart ⭐ 8

Large online shopping companies need to automatically populate their product descriptions supplied by the sellers. Many a times the text is noisy, hence learning algorithms need to be designed. The workhorses for this problems are conditional random fields (CRF), but they need hand tuned features as input. Using deep learning algorithms to solve this problem automatically.

Glove Tensorflow ⭐ 8

Tensorflow implementation of Glove Word Embedding Model

Word Sense Disambiguation By Learning Long Term Dependencies ⭐ 8

Word sense disambiguation using Bidirectional LSTM

Conll2003 Bert ⭐ 7

Applying BERT neural net to CoNLL2003 NER task

Tree_cnn_lstm ⭐ 7

[Thesis] Add Convolution layer to TreeLSTM

Tensorflow Template ⭐ 7

A template for Tensorflow 2.0 + Keras projects

Interpreting Word2vec ⭐ 7

NLP library for tasks like generation,inference etc

Chatcrazie ⭐ 7

A chatbot implemented using RNN and GloVe embeddings whch answers your query crazily

Glove Tensorflow ⭐ 7

Implementation of GloVe using TensorFlow estimator API

To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic Relatedness

Quora Question Similarity With Deep Learning ⭐ 7

Given a pair of questions on Quora, the NLP task aims to classify whether two given questions are duplicates or not. The underlying idea is to identify whether the pair of questions have the same intent though they might have been structured differently .

Wiki_zh_vec ⭐ 7

a python autotool for train Chinese wiki corpus to word embeddings using word2vec ,glove and lexvec.

Lstm Sentence Similarity ⭐ 7

Sentence similarity using Long Short Term Memory Neural Networks

Pip Experiments ⭐ 7

Multi-Task Learning for Sequence Labeling

Bottom Up Summary ⭐ 7

Bottom-up Summarization

Pytorch Glove ⭐ 7

GloVe implementation by pytorch

A embedding method for Cyber Threat Intelligence

Squad 2.0 Bidaf ⭐ 7

Relation Vqa ⭐ 7

Re-implementation for 'R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering'.

Bilinear Attention Networks for Korean Visual Question Answering

Compare_word_embedding ⭐ 7

意味表現学習

Cs224n Project ⭐ 7

Final project for CS224N: Natural Language Processing with Deep Learning

Repeval_rivercorners ⭐ 6

Code developed for the RepEval 2017 Shared Task by the the team Rivercorners

Signglove ⭐ 6

🔮 Sign Language Translator for ASL with a gesture glove built for ECESCON9 contest

Sentence_classification ⭐ 6

(IJCAI 2018) TreeNet: Learning Sentence Representations with Unconstrained Tree Structure

Virtual Feelality ⭐ 6

An experiment that allows a user wearing a custom-designed haptic glove to 'feel' virtual objects in a desktop setting using Leap Motion SDK with Unity.

Sentiment Classification Of Amazon Fine Food Reviews ⭐ 6

A deep learning model (Bidirectional LSTM) using pretrained word embeddings to do sentiment analysis on Amazon fine food reviews dataset.

Bidaf Multigpu Fix ⭐ 6

Fixing multi-gpu issue with BiDAF

Emotionx 2018 ⭐ 6

Relation Fact Detector ⭐ 6

The Relation Fact Detector in 'R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering'.

Id Word2vec ⭐ 6

Indonesian word embedding evaluation

Word Class Embeddings ⭐ 6

Refining pre-trained word embeddings with supervised word-label embeddings for Text Classification (by topic)

Security Intelligence On Exchanged Multimedia Messages Based On Deep Learning ⭐ 6

Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with te

Word_similarity ⭐ 6

Word similarity calculation methods including WordNet-based, google search based, LSA, LDA, Word2Vec, Fasttext, GloVe, ELMo, BERT

Quora_semantic_equivalence ⭐ 6

An attempt at Quora's Semantically Equivalent Question Pairs Detection

Air Retriever ⭐ 6

AIR retriever for Multi-Hop QA (ACL 2020 paper)

Hear Me Out ⭐ 6

Indian Sign Language translation with sensor glove

Online_abuse_detection ⭐ 6

Code for the paper "Online abuse detection: the value of preprocessing and neural attention models", in NAACL workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA), Jun 2019

A Word-level Recurrent Neural Network Generative Model

Sttm Insight ⭐ 5

Gp_debias ⭐ 5

A package for reading/writing files containing pre-trained word embeddings and building "embedding matrices".

Twitter_sentiment_analysis ⭐ 5

Large Scale Text Classification ⭐ 5

Large Scale benchmarking of state of the art text vectorizers

Emotion Detection In Dialogues ⭐ 5

The project is aimed at classifying emotions of sentences in a dialogue using deep learning models.

[OUTDATED] A set of classes/scripts for NLP tasks focused on finance data

Question_answering ⭐ 5

Question Answering task using Deep Learning on SQuAD dataset

Image_captioning ⭐ 5

An Image Caption Generator loosely based on the paper "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

This repository contains the source code of the EMNLP 2020 paper Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning.

Repository for Configurable Semantic and Sentiment Emotion Detector (ConSSED).

Word_mover_distance ⭐ 5

Compute Word Mover's Distance using a generic word embedding model

Updated code for abhipec/fnet

Caption Generation ⭐ 5

Easyembed ⭐ 5

downloading pre-trained embedding easily and keeping only the necessary amount of embedding while training

Ist_ml_project2_tweets ⭐ 5

EPFL-Machine Learning Project II on Tweets Sentiment Analysis

In Depth Question Classification Using Convolutional Neural Networks ⭐ 5

In this project, we develop a question classifier that used the UIUC's question classification data set to train a convolutional neutral network to classify among 50 classes. With our model, we were able to achieve results that are on par with the current methods on the primary categories, while for the secondary categories, our model outperformed the state-of-the-art results for this data set.

Neural Attention Model Abstractive Summarization ⭐ 5

Implementation of paper: "A Neural Attention Model for Sentence Summarization" in Theano

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