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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

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching

26 Apr 2020google-research/google-research

In order to better capture sentence level semantic relations within a document, we pre-train the model with a novel masked sentence block language modeling task in addition to the masked word language modeling task used by BERT.

INFORMATION RETRIEVAL LANGUAGE MODELLING NATURAL LANGUAGE UNDERSTANDING QUESTION ANSWERING REPRESENTATION LEARNING TEXT MATCHING

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

The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes

28 Dec 2020UKPLab/sentence-transformers

Information Retrieval using dense low-dimensional representations recently became popular and showed out-performance to traditional sparse-representations like BM25.

INFORMATION RETRIEVAL

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

Knowledge Representation Learning: A Quantitative Review

28 Dec 2018thunlp/OpenKE

Knowledge representation learning (KRL) aims to represent entities and relations in knowledge graph in low-dimensional semantic space, which have been widely used in massive knowledge-driven tasks.

INFORMATION RETRIEVAL KNOWLEDGE GRAPH COMPLETION LANGUAGE MODELLING QUESTION ANSWERING RECOMMENDATION SYSTEMS RELATION EXTRACTION REPRESENTATION LEARNING TRIPLE CLASSIFICATION

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

Biomedical Named Entity Recognition at Scale

12 Nov 2020JohnSnowLabs/spark-nlp

Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc.

ENTITY RESOLUTION INFORMATION RETRIEVAL MEDICAL NAMED ENTITY RECOGNITION QUESTION ANSWERING RELATION EXTRACTION

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