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An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction
A Computational LInguistics Classification Scheme for Educational Resources
A bit like Solr, but much smaller and not as bright
The ACL RD-TEC 2.0: A corpus of annotated terms in context from domain of computational linguistics
ACM-CR: A Manually Annotated Test Collection for Citation Recommendation
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
Joint sentence classification-Tensorflow
CLinical Information Retrieval Evaluation Collection
A deep learning library for identifying keyphrases from text
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
wicknix / InterWebPPC
Forked from classilla/tenfourfoxMozilla for Power Macintosh.
Context aware citation recommendation
The official tool for creating proceedings for conferences of the Association for Computational Linguistics (ACL).
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Bibliographies of the Bibliometric-enhanced Information Retrieval workshops and related other workshops.
A workspace aimed at centralizing my research work.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a w…
Evaluation software used in the Text Retrieval Conference
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answering
Anserini is a Lucene toolkit for reproducible information retrieval research
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Python package built to ease deep learning on graph, on top of existing DL frameworks.