chullhwan-song / Neural-Ranking-StudyLinks
☆19Updated 5 years ago
Alternatives and similar repositories for Neural-Ranking-Study
Users that are interested in Neural-Ranking-Study are comparing it to the libraries listed below
Sorting:
- Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10☆109Updated 3 years ago
- Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.☆156Updated 4 years ago
- Document ranking via sentence modeling using BERT☆143Updated 2 years ago
- Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)☆160Updated 6 years ago
- Evidence-based QA system for community question answering.☆107Updated 4 years ago
- Official implementation of our ICLR 2018 and SIGIR 2019 papers on Context-aware Neural Information Retrieval☆118Updated 5 years ago
- Neural Abstractive Text Summarization with Sequence-to-Sequence Models☆158Updated 6 years ago
- Exploring the simple sentence similarity measurements using word embeddings☆99Updated last year
- ☆83Updated 4 years ago
- This repository contains various ways to calculate sentence vector similarity using NLP models☆197Updated 5 years ago
- Code for the AAAI 2020 paper "Keyphrase Generation for Scientific Articles using GANs"☆60Updated 2 years ago
- Framework to learn Named Entity Recognition models without labelled data using weak supervision.☆124Updated 4 years ago
- Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora☆153Updated 4 years ago
- Repo of code and data for SIGIR-19 short paper "Deeper Text Understanding for IR with Contextual NeuralLanguage Modeling"☆163Updated 5 years ago
- Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An…☆157Updated 2 years ago
- An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarizat…☆107Updated 5 years ago
- PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment☆107Updated 7 years ago
- pytorch implementation of the TwinBert paper☆40Updated 4 years ago
- A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.☆67Updated 8 years ago
- Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"☆71Updated 6 years ago
- ☆41Updated 10 years ago
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- Code from the paper "Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation - NAACL-2019.☆127Updated 2 years ago
- Learning Framework for Neural Abstractive Text Summarization☆104Updated 5 years ago
- seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer☆51Updated 3 years ago
- Fork of huggingface/pytorch-pretrained-BERT for BERT on STILTs☆106Updated 2 years ago
- We summarize the summarization papers presented at major conferences (starting with ACL 2019)☆85Updated 5 years ago
- ☆41Updated 8 years ago
- Code for neural-el - EMNLP'17☆84Updated 2 years ago
- ACL 2019: Zero-shot Word Sense Disambiguation using Sense Definition Embedding☆76Updated last year