All Projects → pramodkaushik → Acl18_results

pramodkaushik / Acl18_results

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

Projects that are alternatives of or similar to Acl18 results

Medquad
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
Stars: ✭ 129 (+316.13%)
Mutual labels:  question-answering, natural-language-processing
Adam qas
ADAM - A Question Answering System. Inspired from IBM Watson
Stars: ✭ 330 (+964.52%)
Mutual labels:  question-answering, natural-language-processing
Pytorch Question Answering
Important paper implementations for Question Answering using PyTorch
Stars: ✭ 154 (+396.77%)
Mutual labels:  question-answering, natural-language-processing
Chatbot
Русскоязычный чатбот
Stars: ✭ 106 (+241.94%)
Mutual labels:  question-answering, natural-language-processing
Chat
基于自然语言理解与机器学习的聊天机器人,支持多用户并发及自定义多轮对话
Stars: ✭ 516 (+1564.52%)
Mutual labels:  question-answering, natural-language-processing
Dynamic Coattention Network Plus
Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.
Stars: ✭ 117 (+277.42%)
Mutual labels:  question-answering, natural-language-processing
Jack
Jack the Reader
Stars: ✭ 242 (+680.65%)
Mutual labels:  question-answering, natural-language-processing
Turkish Bert Nlp Pipeline
Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.
Stars: ✭ 85 (+174.19%)
Mutual labels:  question-answering, natural-language-processing
Paper Reading
Paper reading list in natural language processing, including dialogue systems and text generation related topics.
Stars: ✭ 508 (+1538.71%)
Mutual labels:  question-answering, natural-language-processing
Cdqa
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Stars: ✭ 500 (+1512.9%)
Mutual labels:  question-answering, natural-language-processing
Neuronblocks
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
Stars: ✭ 1,356 (+4274.19%)
Mutual labels:  question-answering, natural-language-processing
Knowledge Graphs
A collection of research on knowledge graphs
Stars: ✭ 845 (+2625.81%)
Mutual labels:  question-answering, natural-language-processing
Sentence Similarity
PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
Stars: ✭ 96 (+209.68%)
Mutual labels:  question-answering, natural-language-processing
Clicr
Machine reading comprehension on clinical case reports
Stars: ✭ 123 (+296.77%)
Mutual labels:  question-answering, natural-language-processing
Neural kbqa
Knowledge Base Question Answering using memory networks
Stars: ✭ 87 (+180.65%)
Mutual labels:  question-answering, natural-language-processing
Cmrc2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
Stars: ✭ 238 (+667.74%)
Mutual labels:  question-answering, natural-language-processing
Cdqa Annotator
⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.
Stars: ✭ 48 (+54.84%)
Mutual labels:  question-answering, natural-language-processing
Bidaf Keras
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
Stars: ✭ 60 (+93.55%)
Mutual labels:  question-answering, natural-language-processing
Gnn4nlp Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Stars: ✭ 405 (+1206.45%)
Mutual labels:  question-answering, natural-language-processing
Insuranceqa Corpus Zh
🚁 保险行业语料库,聊天机器人
Stars: ✭ 821 (+2548.39%)
Mutual labels:  question-answering, natural-language-processing

Adversarial Attacks on Question Answering models

Code to reproduce results in the paper

Mudrakarta, Pramod Kaushik, Ankur Taly, Mukund Sundararajan, and Kedar Dhamdhere. "Did the Model Understand the Question?." ACL 2018.

@article{mudrakarta2018did,
  title={Did the Model Understand the Question?},
  author={Mudrakarta, Pramod Kaushik and Taly, Ankur and Sundararajan, Mukund and Dhamdhere, Kedar},
  journal={arXiv preprint arXiv:1805.05492},
  year={2018}
}

Setup

Clone the repository using

git clone https://github.com/pramodkaushik/acl18_results.git --recursive

Code for experiments

Attacks on Neural Programmer are present in the folder np_analysis, and those on visual question answering in visual_qa_analysis. Code for computing attributions via Integrated Gradients and to reproduce experiments are in Jupyter notebooks in both these directories.

Contact

Pramod Kaushik Mudrakarta

[email protected]

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].