Repository for the IWCS 2017 paper "Representation Learning for Answer Selection with LSTM-Based Importance Weighting"
☆26May 4, 2018Updated 7 years ago
Alternatives and similar repositories for iwcs2017-answer-selection
Users that are interested in iwcs2017-answer-selection are comparing it to the libraries listed below
Sorting:
- QA - Answer Selection (Rank candidate answers for a given question)☆36Apr 12, 2018Updated 7 years ago
- TensorFlow implementation of "Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering," …☆31Feb 18, 2021Updated 5 years ago
- LSTM-based model for answer selection☆18Nov 20, 2018Updated 7 years ago
- Selection-based Question Answering☆14Feb 7, 2018Updated 8 years ago
- Code for paper "End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights"☆65May 17, 2018Updated 7 years ago
- code for Question Condensing Networks for Answer Selection in Community Question Answering☆14Aug 26, 2018Updated 7 years ago
- biLSTM/CNN based deep learning framework for Question Answer Selection.☆74May 11, 2018Updated 7 years ago
- Variants of Multi-Perspective Convolutional Neural Networks☆22Jul 6, 2023Updated 2 years ago
- Answer selection task based on WikiQA datatest.☆45Dec 20, 2016Updated 9 years ago
- This repository uses pretrain BERT embeddings for transfer learning in QA domain☆29Dec 18, 2018Updated 7 years ago
- Accompanying code for our EMNLP 2018 Demo paper "Interactive Instance-based Evaluation of Knowledge Base Question Answering"☆13Jul 29, 2019Updated 6 years ago
- Compare-Aggregate method for WikiQA (via PyTorch)☆28Jul 12, 2018Updated 7 years ago
- Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus☆17Nov 24, 2017Updated 8 years ago
- Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection☆42Dec 3, 2017Updated 8 years ago
- Multi Attention Network：基于论文《Multiway Attention Networks for Modeling Sentence Pairs》实现的检索型自动评论系统☆18Nov 21, 2018Updated 7 years ago
- Splits for YahooQA dataset used in SIGIR'17 and AAAI'18 paper.☆16Dec 4, 2017Updated 8 years ago
- Implementation of LSTM based Deep Learning Models for Non-Factoid Answer Selection by Ming et al. in PyTorch☆17Jan 10, 2018Updated 8 years ago
- Source code of Knowledge Enhanced Hybrid Neural Network for Text Matching☆17Aug 15, 2018Updated 7 years ago
- First place solution for Yandex.Algorithm 2018 (ML Track)☆21May 16, 2018Updated 7 years ago
- ☆28Apr 26, 2019Updated 6 years ago
- My solution for Kagge Allen AI Challenge ( 3rd place )☆19Feb 21, 2016Updated 10 years ago
- Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task☆197Aug 29, 2016Updated 9 years ago
- For those who want to model the inter-sentence relations, pls use the more powerful code of "Attentive Convolution" in another repository☆90Mar 22, 2018Updated 7 years ago
- ☆26Jan 27, 2018Updated 8 years ago
- ☆19Jul 8, 2015Updated 10 years ago
- Implemention of A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection☆29May 23, 2017Updated 8 years ago
- Keras implementation of the Smart Reply[1] Google system paper.☆25Aug 9, 2016Updated 9 years ago
- 2019 NAACL NLI with Deep Learning tutorial site.☆31Jul 3, 2019Updated 6 years ago
- Source code and data for ACL 2019 paper "Modeling Semantic Compositionality with Sememe Knowledge"☆34Jul 30, 2020Updated 5 years ago
- Facilitate the learning, practicing, and designing of neural text matching models with a user-friendly and interactive interface.☆41Dec 8, 2022Updated 3 years ago
- Computation Graph framework implemented using only NumPy☆10Mar 31, 2024Updated last year
- lstm with attention to deal with qa☆34Apr 15, 2017Updated 8 years ago
- Multitask Learning with Pretrained Transformers☆40Mar 20, 2021Updated 4 years ago
- Designed to help lawyers and legal professionals find precedent fast and prepare for case negotiations by simulating trajectories☆10Oct 16, 2024Updated last year
- 豆瓣电影评论可视化☆10May 19, 2016Updated 9 years ago
- 绩效考核系统(django)☆10Mar 2, 2017Updated 9 years ago
- Skoltech 2017 NLA course☆36Oct 17, 2018Updated 7 years ago
- SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.☆47Jul 25, 2023Updated 2 years ago
- Sberbank Data Science Contest 2017. Задача B: построение вопрос-ответной системы.☆11Nov 7, 2018Updated 7 years ago