Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
Repository for ACL 2019 paper
Cross-Lingual Machine Reading Comprehension (EMNLP 2019)
Automatic Generation of Brief Summaries of Time-Series Data
Agents that build knowledge graphs and explore textual worlds by asking questions
Question Answering annotation platform - Plateforme d'annotation
Repository for the paper "Named Entity Recognition for Entity Linking: What Works and What's Next" (EMNLP 2021).
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
Persian Text Summarization Agent
The iOS client library for Speechly API
Gibran is an Elixir natural language processor, and a port of WordsCounted.
NLP: Relation extraction with position-aware self-attention transformer
this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large
Record some papers I have read and paper notes I have taken, also including some awesome papers reading lists and academic blog posts.
A question answering dataset for machine comprehension of spoken content
Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)
A repository for publicly/freely available Natural Language Processing (NLP) datasets for African languages.
A Word Sense Disambiguation system integrating implicit and explicit external knowledge.
DANeS is an open-source E-newspaper dataset by collaboration between DATASET JSC (dataset.vn) and AIV Group (aivgroup.vn)
A collection of 3D vision and language (e.g., 3D Visual Grounding, 3D Question Answering and 3D Dense Caption) papers and datasets.
Random fun with statistical language models.
A toolkit for Vietnamese word segmentation
Some JavaScript works published as demos, mostly ML or DS
Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)
The greynir.is Icelandic natural language processing API and website.
:dart: predict the price trend of individual stocks using deep learning and natural language processing
Sentiment analyzer for your tweets.
Benchmarks for intrinsic word embeddings evaluation.
Trained T5 and T5-large model for creating keywords from text
A paper list of pre-trained language models (PLMs).
Repository for NLI models (EMNLP 2018)
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Neutron: A pytorch based implementation of Transformer and its variants.
Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambi...
GenieNLP: A versatile codebase for any NLP task
GTS Engine: A powerful NLU Training System。GTS引擎(GTS-Engine)是一款开箱即用且性能强大的自然语言理解引擎,聚焦于小样本任务,能够仅用小样本就能自动...
PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/221...
快速下载中文数据集,处理数据集,数据分析、可视化分析,一站式解决数据问题
Reading Comprehension Experiments repository.
ITP A2Z Course for Fall 2018
Tool for Evaluating Adversarial Perturbations on Text
Compare six baseline deep learning models on TrecQA
Notes and solutions to complement the official NLTK book
Deep learning research implemented on notebooks using PyTorch.
A keyphrase extractor for Persian
Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)
This repository has implementations of data augmentation for NLP for Japanese.
A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Multi-layer Recurrent Neural Networks for character-level language models implements by TensorFlow
A python code to detect emotions from text
A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.