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Information Retrieval

178 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

Joint Learning of Sentence Embeddings for Relevance and Entailment

WS 2016 brmson/dataset-sts

We consider the problem of Recognizing Textual Entailment within an Information Retrieval context, where we must simultaneously determine the relevancy as well as degree of entailment for individual pieces of evidence to determine a yes/no answer to a binary natural language question.

DECISION MAKING INFORMATION RETRIEVAL NATURAL LANGUAGE INFERENCE READING COMPREHENSION SENTENCE EMBEDDINGS

The NarrativeQA Reading Comprehension Challenge

TACL 2018 deepmind/narrativeqa

Reading comprehension (RC)---in contrast to information retrieval---requires integrating information and reasoning about events, entities, and their relations across a full document.

#8 best model for Question Answering on NarrativeQA (BLEU-1 metric)

INFORMATION RETRIEVAL QUESTION ANSWERING READING COMPREHENSION

CREPE: A Convolutional Representation for Pitch Estimation

17 Feb 2018marl/crepe

To date, the best performing techniques, such as the pYIN algorithm, are based on a combination of DSP pipelines and heuristics.

INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL

Ask the Right Questions: Active Question Reformulation with Reinforcement Learning

ICLR 2018 google/active-qa

The agent probes the system with, potentially many, natural language reformulations of an initial question and aggregates the returned evidence to yield the best answer.

INFORMATION RETRIEVAL QUESTION ANSWERING

Jack the Reader -- A Machine Reading Framework

ACL 2018 uclmr/jack

For example, in Question Answering, the supporting text can be newswire or Wikipedia articles; in Natural Language Inference, premises can be seen as the supporting text and hypotheses as questions.

INFORMATION RETRIEVAL LINK PREDICTION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING READING COMPREHENSION

Deep metric learning using Triplet network

20 Dec 2014eladhoffer/TripletNet

Deep learning has proven itself as a successful set of models for learning useful semantic representations of data.

INFORMATION RETRIEVAL METRIC LEARNING

A Tutorial on Deep Learning for Music Information Retrieval

13 Sep 2017keunwoochoi/dl4mir

Following their success in Computer Vision and other areas, deep learning techniques have recently become widely adopted in Music Information Retrieval (MIR) research.

INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL