This is Assignment1 code for the Web Data Processing System.

Related tags

Text Data & NLPwdps2126
Overview

First Assignment - Entity Linking

Web Data Processing System Assignment 1 - 2021 - Group 26

  • Zhining Bai
  • Bowen Lyu
  • Tianshi Chen
  • Yiming Xu

Description

This is a Python program to Entity Linking by processing WARC files. We recognize entities from web pages and link them to a Knowledge Base(Wikidata). The pipeline for this program as below:

image

Read WARC

  • Use pyspark to read large-scale warc files, so the program supports parallel computing.
  • Extract text information from HTML files by using beautifulsoup.

Named entity recognition

  • Extract entities by using recognize_entities_bert model from sparknlp.

Disambiguation and NIL

We considered the popularity of the candidate page as well as the semantic similarity between the sentence where the entity is located and the candidate description to achieve Disambiguation.

  • Popularity: Calculate popularity rankings using the Elasticsearch scoring algorithm and the number of properties of the mention from the knowledge graph.
  • Sentence similarity: Measure the difference between text and description using the Levenshtein distance.

NIL: Retain results with distances < 40.

image

Prerequisites

Codes are run on the DAS cluster at /var/scratch/wdps2106/wdps_2126, result1 is a conda virtual environment that has been created. Below are the packages installed to run the assignment.

# if you want to use pip(pip for python3) to install the packages, use the following command(python version 3.8)
pip install pyspark==3.1.2
pip install spark-nlp==3.3.3
pip install beautifulsoup4
pip install python-Levenshtein
pip install elasticsearch

# if you want to use conda to install the packages, use the following command(recommended)
conda create -n 
   
     python=3.8
conda install pyspark
conda install bs4
conda install elasticsearch
pip install python-Levenshtein
pip install sparknlp

Run

To run the program, you can simply use the command below. The parameter Keyname is the name of page ID in WARC files such as WARC_TREC_ID. You need to declare the name of the page ID using this parameter. Be aware that the result file will be renamed as result.tsv.

sh run.sh /path/to/warc/file.warc.gz /path/to/result/ Keyname

If you use DAS cluster, you also need to add this command before running:

export OPENBLAS_NUM_THREADS=10

To check the score of the result file, use the command below.

python3 score.py /sample/annotation/file/sample.tsv /generated/result/file/result.tsv

Result

We tested our entity linking code using sample.warc.gz. Since sample_annotations.tsv only contains the entities that page_id is less than 92, our test results only output entity links with page_id <= 92. The f1 score of the sample data is 0.1122.

Metric Value
Gold 500
Predicted 480
Correct 55
Precision 0.1145
Recall 0.11
F1 Score 0.1122
You might also like...
🗣️ NALP is a library that covers Natural Adversarial Language Processing.

NALP: Natural Adversarial Language Processing Welcome to NALP. Have you ever wanted to create natural text from raw sources? If yes, NALP is for you!

Gustavo Rosa 21 Aug 12, 2022
Basic Utilities for PyTorch Natural Language Processing (NLP)

Basic Utilities for PyTorch Natural Language Processing (NLP) PyTorch-NLP, or torchnlp for short, is a library of basic utilities for PyTorch NLP. tor

Michael Petrochuk 2.1k Jan 1, 2023
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Trankit: A Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing Trankit is a light-weight Transformer-based Pyth

null 652 Jan 6, 2023
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing pororo performs Natural Language Processing and Speech-related tasks. It is easy to

Kakao Brain 1.2k Dec 21, 2022
💫 Industrial-strength Natural Language Processing (NLP) in Python

spaCy: Industrial-strength NLP spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest researc

Explosion 19.5k Feb 13, 2021
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0 🤗 Transformers provides thousands of pretrained models to perform tasks o

Hugging Face 77.3k Jan 3, 2023
A very simple framework for state-of-the-art Natural Language Processing (NLP)

A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. IMPORTANT: (30.08.2020) We moved our models

flair 12.3k Dec 31, 2022
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

TextBlob: Simplified Text Processing Homepage: https://textblob.readthedocs.io/ TextBlob is a Python (2 and 3) library for processing textual data. It

Steven Loria 8.4k Dec 26, 2022
State of the Art Natural Language Processing

Spark NLP: State of the Art Natural Language Processing Spark NLP is a Natural Language Processing library built on top of Apache Spark ML. It provide

John Snow Labs 3k Jan 5, 2023
Releases(wdps)
Owner
GitHub Repository
GPT-3: Language Models are Few-Shot Learners

GPT-3: Language Models are Few-Shot Learners arXiv link Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-trainin

OpenAI 12.5k Jan 05, 2023
Behavioral Testing of Clinical NLP Models

Behavioral Testing of Clinical NLP Models This repository contains code for testing the behavior of clinical prediction models based on patient letter

Betty van Aken 2 Sep 20, 2022
Python package for Turkish Language.

PyTurkce Python package for Turkish Language. Documentation: https://pyturkce.readthedocs.io. Installation pip install pyturkce Usage from pyturkce im

Mert Cobanov 14 Oct 09, 2022
A single model that parses Universal Dependencies across 75 languages.

A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.

Dan Kondratyuk 189 Nov 29, 2022
A natural language modeling framework based on PyTorch

Overview PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapi

Meta Research 6.4k Jan 08, 2023
2021海华AI挑战赛·中文阅读理解·技术组·第三名

文字是人类用以记录和表达的最基本工具，也是信息传播的重要媒介。透过文字与符号，我们可以追寻人类文明的起源，可以传播知识与经验，读懂文字是认识与了解的第一步。对于人工智能而言，它的核心问题之一就是认知，而认知的核心则是语义理解。

21 Dec 26, 2022
Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation

Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision Training Efficiency We show the training efficiency of our DSLP model b

Chenyang Huang 37 Jan 04, 2023
DaCy: The State of the Art Danish NLP pipeline using SpaCy

DaCy: A SpaCy NLP Pipeline for Danish DaCy is a Danish preprocessing pipeline trained in SpaCy. At the time of writing it has achieved State-of-the-Ar

Kenneth Enevoldsen 71 Jan 06, 2023
auto_code_complete is a auto word-completetion program which allows you to customize it on your need

auto_code_complete v1.3 purpose and usage auto_code_complete is a auto word-completetion program which allows you to customize it on your needs. the m

RUO 2 Feb 22, 2022
End-to-end text to speech system using gruut and onnx. There are 40 voices available across 8 languages.

End to end text to speech system using gruut and onnx

Rhasspy 673 Dec 28, 2022
leaking paid token generator that was a shit lmao for 100$ haha

Discord-Token-Generator-Leaked leaking paid token generator that was a shit lmao for 100$ he selling it for 100$ wth here the code enjoy don't forget

Keevo 5 Apr 15, 2022
NLP topic mdel LDA - Gathered from New York Times website

NLP topic mdel LDA - Gathered from New York Times website

1 Oct 14, 2021
Text classification is one of the popular tasks in NLP that allows a program to classify free-text documents based on pre-defined classes.

Deep-Learning-for-Text-Document-Classification Text classification is one of the popular tasks in NLP that allows a program to classify free-text docu

Happy N. Monday 2 Mar 17, 2022
This is the offline-training-pipeline for our project.

offline-training-pipeline This is the offline-training-pipeline for our project. We adopt the offline training and online prediction Machine Learning

0 Apr 22, 2022
基于百度的语音识别，用python实现，pyaudio+pyqt

Speech-recognition 基于百度的语音识别，python3.8(conda)+pyaudio+pyqt+baidu-aip 百度有面向python

J-L 1 Jan 03, 2022
Topic Modelling for Humans

gensim – Topic Modelling in Python Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Targ

RARE Technologies 13.8k Jan 02, 2023
A sentence aligner for comparable corpora

About Yalign is a tool for extracting parallel sentences from comparable corpora. Statistical Machine Translation relies on parallel corpora (eg.. eur

Machinalis 128 Aug 24, 2022
Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.

Word2Wave is a simple method for text-controlled GAN audio generation. You can either follow the setup instructions below and use the source code and CLI provided in this repo or you can have a play

Ilaria Manco 91 Dec 23, 2022
NAACL 2022: MCSE: Multimodal Contrastive Learning of Sentence Embeddings

MCSE: Multimodal Contrastive Learning of Sentence Embeddings This repository contains code and pre-trained models for our NAACL-2022 paper MCSE: Multi

Saarland University Spoken Language Systems Group 39 Nov 15, 2022
Rhyme with AI

Local development Create a conda virtual environment and activate it: conda env create --file environment.yml conda activate rhyme-with-ai Install the

GoDataDriven 28 Nov 21, 2022