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Information Retrieval

155 papers with code · Natural Language Processing

Information retrieval is the task of ranking a list of documents or search results in response to a query

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Greatest papers with code

Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data

1 Jul 2018shenweichen/DeepCTR

User response prediction is a crucial component for personalized information retrieval and filtering scenarios, such as recommender system and web search.

CLICK-THROUGH RATE PREDICTION FEATURE ENGINEERING INFORMATION RETRIEVAL RECOMMENDATION SYSTEMS

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction

IJCNLP 2019 thunlp/OpenNRE

OpenNRE is an open-source and extensible toolkit that provides a unified framework to implement neural models for relation extraction (RE).

INFORMATION RETRIEVAL QUESTION ANSWERING RELATION EXTRACTION

OpenKE: An Open Toolkit for Knowledge Embedding

EMNLP 2018 thunlp/OpenKE

We release an open toolkit for knowledge embedding (OpenKE), which provides a unified framework and various fundamental models to embed knowledge graphs into a continuous low-dimensional space.

INFORMATION RETRIEVAL KNOWLEDGE GRAPHS QUESTION ANSWERING REPRESENTATION LEARNING

A Unified Neural Architecture for Instrumental Audio Tasks

1 Mar 2019r9y9/wavenet_vocoder

Within Music Information Retrieval (MIR), prominent tasks -- including pitch-tracking, source-separation, super-resolution, and synthesis -- typically call for specialised methods, despite their similarities.

INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL SUPER RESOLUTION TRANSFER LEARNING

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

20 Sep 2019github/CodeSearchNet

To enable evaluation of progress on code search, we are releasing the CodeSearchNet Corpus and are presenting the CodeSearchNet Challenge, which consists of 99 natural language queries with about 4k expert relevance annotations of likely results from CodeSearchNet Corpus.

CODE SEARCH INFORMATION RETRIEVAL

Modeling Relational Data with Graph Convolutional Networks

17 Mar 2017tkipf/gae

We demonstrate the effectiveness of R-GCNs as a stand-alone model for entity classification.

GRAPH CLASSIFICATION INFORMATION RETRIEVAL KNOWLEDGE BASE COMPLETION KNOWLEDGE GRAPHS LINK PREDICTION

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

23 Jan 2019huggingface/transfer-learning-conv-ai

We introduce a new approach to generative data-driven dialogue systems (e. g. chatbots) called TransferTransfo which is a combination of a Transfer learning based training scheme and a high-capacity Transformer model.

INFORMATION RETRIEVAL TRANSFER LEARNING

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

30 May 2017geek-ai/irgan

This paper provides a unified account of two schools of thinking in information retrieval modelling: the generative retrieval focusing on predicting relevant documents given a query, and the discriminative retrieval focusing on predicting relevancy given a query-document pair.

AD-HOC INFORMATION RETRIEVAL DOCUMENT RANKING INFORMATION RETRIEVAL QUESTION ANSWERING