B-MRC

MRC approach for Aspect-based Sentiment Analysis (ABSA)

Paper: Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

Dataset: https://github.com/xuuuluuu/SemEval-Triplet-data

Usage

Prepare data:

python data_process.py --data_path data/14lap --version bidirectional (unidirectional)

Arguments:
    --data_path :       Path to the dataset
    --version   :       Optional version: unidirectional (A2O) and bidirectional (A2O + O2A) 
                        (default = 'bidirectiona')
                        Choices=['uni', 'bi', 'unidirectional', 'bidirectional']

python make_data_dual --data_path data/14lap/preprocess --version bidirectional (unidirectional)

Arguments:
    --data_path :       Path to the dataset
    --version   :       Optional version: unidirectional (A2O) and bidirectional (A2O + O2A)
                        (default = 'bidirectiona')
                        Choices=['uni', 'bi', 'unidirectional', 'bidirectional']

python make_data_standard --data_path data/14lab/pair --output_path ./data/14lap/preprocess

Arguments:
    --data_path  :      Path to the dataset
    --output_path:      Path to the output data

Training:

python main.py \
    --version bidirectional (unidirectional) \
    --data_path ./data/14lap/preprocess/ \
    --mode train \
    --model_type bert-base-uncased \
    --epoch_num 40 \
    --batch_size 4 \
    --learning_rate 1e-3

MRC approach for Aspect-based Sentiment Analysis (ABSA)

Related tags

Overview

B-MRC

Usage

Owner

Phuc Phan

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

A Practitioner's Guide to Natural Language Processing

Multi Task Vision and Language

NLPShala , the best IDE for all Natural language processing tasks.

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers

ASCEND Chinese-English code-switching dataset

NLP-Project - Used an API to scrape 2000 reddit posts, then used NLP analysis and created a classification model to mixed succcess

Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe NHV in the future.

Script to generate VAD dataset used in Asteroid recipe

A modular Karton Framework service that unpacks common packers like UPX and others using the Qiling Framework.

Label data using HuggingFace's transformers and automatically get a prediction service

(ACL 2022) The source code for the paper "Towards Abstractive Grounded Summarization of Podcast Transcripts"

This code extends the neural style transfer image processing technique to video by generating smooth transitions between several reference style images

تولید اسم های رندوم فینگیلیش

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Data and evaluation code for the paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER (EMNLP 2021).

Learn meanings behind words is a key element in NLP. This project concentrates on the disambiguation of preposition senses. Therefore, we train a bert-transformer model and surpass the state-of-the-art.