CoSENT 比Sentence-BERT更有效的句向量方案

Last update: Dec 12, 2022

Related tags

Text Data & NLP CoSENT

Overview

CoSENT

比Sentence-BERT更有效的句向量方案

介绍

博客：https://kexue.fm/archives/8847
数据：https://github.com/bojone/BERT-whitening/tree/main/chn

效果

train训练、test测试：

	ATEC	BQ	LCQMC	PAWSX	STS-B	Avg
BERT+CoSENT	49.74	72.38	78.69	60.00	80.14	68.19
Sentence-BERT	46.36	70.36	78.72	46.86	66.41	61.74
RoBERTa+CoSENT	50.81	71.45	79.31	61.56	81.13	68.85
Sentence-RoBERTa	48.29	69.99	79.22	44.10	72.42	62.80

NLI训练、test测试：

	ATEC	BQ	LCQMC	PAWSX	STS-B	Avg
BERT+CoSENT	28.93	41.84	66.07	20.49	73.91	46.25
Sentence-BERT	28.19	42.73	64.98	15.38	**74.88	45.23
RoBERTa+CoSENT	31.84	46.65	68.43	20.89	74.37	48.43
Sentence-RoBERTa	31.87	45.60	67.89	15.64	73.93	46.99

环境

需要bert4keras >= 0.10.8。个人实验环境是tensorflow 1.15 + keras 2.3.1 + bert4keras 0.10.8。

交流

QQ交流群：808623966，微信群请加机器人微信号spaces_ac_cn

Owner

苏剑林(Jianlin Su)

科学爱好者

GitHub Repository

OCR을 이용하여 인원수를 인식 후 줌을 Kill 해줍니다

How To Use killtheZoom-2.0 Windows 0. https://joyhong.tistory.com/79 이 글을 보면서 tesseract를 C:\Program Files\Tesseract-OCR 경로로 설치해주세요(한국어 언어 추가 필요) 상단의 초

9 Sep 13, 2021

CorNet Correlation Networks for Extreme Multi-label Text Classification

CorNet Correlation Networks for Extreme Multi-label Text Classification Prerequisites python==3.6.3 pytorch==1.2.0 torchgpipe==0.0.5 click==7.0 ruamel

38 Dec 31, 2022

A PyTorch implementation of paper "Learning Shared Semantic Space for Speech-to-Text Translation", ACL (Findings) 2021

Chimera: Learning Shared Semantic Space for Speech-to-Text Translation This is a Pytorch implementation for the "Chimera" paper Learning Shared Semant

43 Dec 28, 2022

Plugin repository for Macast

Macast-plugins Plugin repository for Macast. How to use third-party player plugin Download Macast from GitHub Release. Download the plugin you want fr

109 Jan 04, 2023

Sentiment Analysis Project using Count Vectorizer and TF-IDF Vectorizer

Sentiment Analysis Project This project contains two sentiment analysis programs for Hotel Reviews using a Hotel Reviews dataset from Datafiniti. The

0 Mar 28, 2022

Text Classification Using LSTM

Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new ar

3 Jan 03, 2023

State-of-the-art NLP through transformer models in a modular design and consistent APIs.

Trapper (Transformers wRAPPER) Trapper is an NLP library that aims to make it easier to train transformer based models on downstream tasks. It wraps h

42 Sep 21, 2022

This repository contains all the source code that is needed for the project : An Efficient Pipeline For Bloom’s Taxonomy Using Natural Language Processing and Deep Learning

Pipeline For NLP with Bloom's Taxonomy Using Improved Question Classification and Question Generation using Deep Learning This repository contains all

9 Jul 17, 2021

WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

740 Dec 24, 2022

Levenshtein and Hamming distance computation

distance - Utilities for comparing sequences This package provides helpers for computing similarities between arbitrary sequences. Included metrics ar

112 Dec 22, 2022

Spacy-ginza-ner-webapi - Named Entity Recognition API with spaCy and GiNZA

Named Entity Recognition API with spaCy and GiNZA I wrote a blog post about this

3 Feb 27, 2022

A Survey of Natural Language Generation in Task-Oriented Dialogue System (TOD): Recent Advances and New Frontiers

132 Nov 25, 2022

CLIPfa: Connecting Farsi Text and Images

CLIPfa: Connecting Farsi Text and Images OpenAI released the paper Learning Transferable Visual Models From Natural Language Supervision in which they

66 Dec 14, 2022

PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis

567 Jan 07, 2023

Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.

Colibri Core by Maarten van Gompel, [email protected], Radboud University Nij

122 Nov 17, 2022