PythonrougePython wrapper for evaluating summarization quality by ROUGE package
Stars: ✭ 155 (-84.62%)
Text summarization with tensorflowImplementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Stars: ✭ 226 (-77.58%)
DocSumA tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
Stars: ✭ 58 (-94.25%)
nlp-akashNatural Language Processing notes and implementations.
Stars: ✭ 66 (-93.45%)
Files2rougeCalculating ROUGE score between two files (line-by-line)
Stars: ✭ 120 (-88.1%)
Entity2Topic[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization
Stars: ✭ 20 (-98.02%)
PytextrankPython implementation of TextRank for phrase extraction and summarization of text documents
Stars: ✭ 1,675 (+66.17%)
Text Analytics With PythonLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Stars: ✭ 1,132 (+12.3%)
Unified SummarizationOfficial codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.
Stars: ✭ 114 (-88.69%)
TransformersumModels to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
Stars: ✭ 107 (-89.38%)
DiscobertCode for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)
Stars: ✭ 120 (-88.1%)
NeusumCode for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"
Stars: ✭ 143 (-85.81%)
Nlp PapersPapers and Book to look at when starting NLP 📚
Stars: ✭ 111 (-88.99%)
PlanSum[AAAI2021] Unsupervised Opinion Summarization with Content Planning
Stars: ✭ 25 (-97.52%)
gazetaGazeta: Dataset for automatic summarization of Russian news / Газета: набор данных для автоматического реферирования на русском языке
Stars: ✭ 25 (-97.52%)
Paper ReadingPaper reading list in natural language processing, including dialogue systems and text generation related topics.
Stars: ✭ 508 (-49.6%)
TextRank-nodeNo description or website provided.
Stars: ✭ 21 (-97.92%)
Metasra PipelineMetaSRA: normalized sample-specific metadata for the Sequence Read Archive
Stars: ✭ 33 (-96.73%)
EventsRepository for *SEM Paper on Event Coreference Resolution in ECB+
Stars: ✭ 20 (-98.02%)
Twitter Bot👻 Markov chain-based Japanese twitter bot
Stars: ✭ 12 (-98.81%)
Vale📝 A syntax-aware linter for prose built with speed and extensibility in mind.
Stars: ✭ 978 (-2.98%)
Pqg PytorchParaphrase Generation model using pair-wise discriminator loss
Stars: ✭ 33 (-96.73%)
LanguageShared repository for open-sourced projects from the Google AI Language team.
Stars: ✭ 860 (-14.68%)
BpembPre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
Stars: ✭ 909 (-9.82%)
BudouBudou is an automatic organizer tool for beautiful line breaking in CJK (Chinese, Japanese, and Korean).
Stars: ✭ 971 (-3.67%)
Nlp tutorialsOverview of NLP tools and techniques in python
Stars: ✭ 14 (-98.61%)
Node Api.ai[DEPRECATED] Ultimate Node.JS SDK for api.ai
Stars: ✭ 12 (-98.81%)
Language ModellingGenerating Text using Deep Learning in Python - LSTM, RNN, Keras
Stars: ✭ 38 (-96.23%)
WikisqlA large annotated semantic parsing corpus for developing natural language interfaces.
Stars: ✭ 965 (-4.27%)
PkePython Keyphrase Extraction module
Stars: ✭ 855 (-15.18%)
SpagoSelf-contained Machine Learning and Natural Language Processing library in Go
Stars: ✭ 854 (-15.28%)
Knowledge GraphsA collection of research on knowledge graphs
Stars: ✭ 845 (-16.17%)
NhazmA C# version of Hazm (Python library for digesting Persian text)
Stars: ✭ 35 (-96.53%)
Typing AssistantTyping Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.
Stars: ✭ 32 (-96.83%)
Syntree2vecAn algorithm to augment syntactic hierarchy into word embeddings
Stars: ✭ 9 (-99.11%)
Drl4nlp.scratchpadNotes on Deep Reinforcement Learning for Natural Language Processing papers
Stars: ✭ 26 (-97.42%)
Summary loopCodebase for the Summary Loop paper at ACL2020
Stars: ✭ 26 (-97.42%)
CiffCornell Instruction Following Framework
Stars: ✭ 23 (-97.72%)
Ml Classify Text JsMachine learning based text classification in JavaScript using n-grams and cosine similarity
Stars: ✭ 38 (-96.23%)
Acl18 resultsCode to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
Stars: ✭ 31 (-96.92%)
Spacy Transformers🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Stars: ✭ 919 (-8.83%)
RdrpostaggerR package for Ripple Down Rules-based Part-Of-Speech Tagging (RDRPOS). On more than 45 languages.
Stars: ✭ 31 (-96.92%)
Nlp With RubyCurated List: Practical Natural Language Processing done in Ruby
Stars: ✭ 907 (-10.02%)
Kts linguisticsSpellcheck, phonetics, text processing and more
Stars: ✭ 18 (-98.21%)
TidytextText mining using tidy tools ✨📄✨
Stars: ✭ 975 (-3.27%)
Punny captionsAn implementation of the NAACL 2018 paper "Punny Captions: Witty Wordplay in Image Descriptions".
Stars: ✭ 31 (-96.92%)
BiolitmapCode for the paper "BIOLITMAP: a web-based geolocated and temporal visualization of the evolution of bioinformatics publications" in Oxford Bioinformatics.
Stars: ✭ 18 (-98.21%)
Riceteacatpandarepo with challenge material for riceteacatpanda (2020)
Stars: ✭ 18 (-98.21%)
Crnn Pytorch✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
Stars: ✭ 31 (-96.92%)
NeuralparserNeuralParser is a very simple to use dependency parser, based on the Latent Syntactic Structure encoding.
Stars: ✭ 17 (-98.31%)