390 Open source projects that are alternatives of or similar to iamQA

DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)

⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

吹逼我们是认真的

Text2Text: Cross-lingual natural language processing and generation toolkit

Financial Domain Question Answering with pre-trained BERT Language Model

🔮 Answering multiple choice questions with Language Models.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Augmented version of SQUAD 2.0 for Questions

KitanaQA: Adversarial training and data augmentation for neural question-answering models

No description or website provided.

Conversational Question Answering on Clinical Text

Very Simple Question Answer System using Chinese Wikipedia Data

Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

文本对关系比较 - 语义相似度、字面相似度、文本蕴含等等

Naver movie review sentiment classification with KoBERT

离线端阅读理解应用 QA for mobile, Android & iPhone

This is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".

Official code repository for "Exploring Neural Models for Query-Focused Summarization".

Bangla-Bert is a pretrained bert model for Bengali language

Extraction of the five journalistic W-questions (5W) from news articles

bert sentiment analysis tensorflow serving with RESTful API

text generation based on transformer

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Author implementation of "Learning to Search in Long Documents Using Document Structure" (Mor Geva and Jonathan Berant, 2018)

DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018

Emotion recognition in conversation

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Mengzi Pretrained Models

本NER项目包含多个中文数据集，模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等，最后用TFServing进行模型部署，线上推理和线下推理。

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

机器翻译子任务-翻译质量评价-在BERT模型后面加上Bi-LSTM进行fine-tuning

Using VideoBERT to tackle video prediction

A question answering dataset for machine comprehension of spoken content

Code for the paper "Are Sixteen Heads Really Better than One?"

Text Classification in Turkish Texts with Bert

TEXTOIR is a flexible toolkit for open intent detection and discovery. (ACL 2021)

First Prize in HackJaipur Hackathon 2020 for Best ElasticSearch-based Product! Website: http://coronaxiv2.surge.sh/#/

Product-Aware Answer Generation in E-Commerce Question-Answering

Machine Comprehension Train on MSMARCO with S-NET Extraction Modification

Multiple Meta-model Quantifying for Medical Visual Question Answering

📑 Neural Search

StarGraph (aka *graph) is a graph database to query large Knowledge Graphs. Playing with Knowledge Graphs can be useful if you are developing AI applications or doing data analysis over complex domains.

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Compare six baseline deep learning models on TrecQA

code and supplementary materials for a series of Medium articles about the BERT model

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT

Applied Deep Learning (2019 Spring) @ NTU

📖 Korean NLU Benchmark

A PyTorch-based toolkit for natural language processing

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

Environment that can be used to evaluate reasoning capabilities of artificial agents