SOTAVerified

Information Retrieval

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

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Papers

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Showing 3151–3200 of 4740 papers

TitleStatusHype
Bernoulli Embeddings for Graphs—0
Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval—0
Studio Ousia's Quiz Bowl Question Answering System—0
Tell Me Why Is It So? Explaining Knowledge Graph Relationships by Finding Descriptive Support Passages—0
Feature Selection and Model Comparison on Microsoft Learning-to-Rank Data Sets—0
Geodabs: Trajectory Indexing Meets Fingerprinting at Scale—0
Gradient Augmented Information Retrieval with Autoencoders and Semantic Hashing—0
Authorship verification in the absence of explicit features and thresholdsCode0
Network-Clustered Multi-Modal Bug Localization—0
A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval—0
Deep Neural Network for Learning to Rank Query-Text Pairs—0
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification—0
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors—0
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategiesCode0
Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label ClassificationCode0
Convolutional Hashing for Automated Scene Matching—0
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval—0
Analyzing Similarity in Mathematical Content To Enhance the Detection of Academic Plagiarism—0
Understanding news story chains using information retrieval and network clustering techniques—0
Analyzing Language Learned by an Active Question Answering Agent—0
SentiPers: A Sentiment Analysis Corpus for PersianCode0
Ontology-based Adaptive e-Textbook Platform for Student and Machine Co-Learning—0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
Applying Vector Space Model (VSM) Techniques in Information Retrieval for Arabic Language—0
Enhancing Translation Language Models with Word Embedding for Information Retrieval—0
Informed Group-Sparse Representation for Singing Voice Separation—0
Movie recommender system with metaheuristic artificial bee—0
Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework—0
Advice from the Oracle: Really Intelligent Information Retrieval—0
Questionable Answers in Question Answering Research: Reproducibility and Variability of Published Results—0
Leveraging Data Resources for Cross-Linguistic Information Retrieval Using Statistical Machine Translation—0
Building a Finnish SOM-based ontology concept tagger and harvester—0
Leveraging Orthographic Similarity for Multilingual Neural Transliteration—0
Integrating Knowledge from Latent and Explicit Features for Triple Scoring - Team Radicchio's Triple Scorer at WSDM Cup 2017—0
Novel Ranking-Based Lexical Similarity Measure for Word Embedding—0
Use of Deep Learning in Modern Recommendation System: A Summary of Recent WorksCode0
Attentive Memory Networks: Efficient Machine Reading for Conversational SearchCode0
The NarrativeQA Reading Comprehension ChallengeCode0
Relation Extraction : A SurveyCode0
Learning Modality-Invariant Representations for Speech and Images—0
Exploiting Modern Hardware for High-Dimensional Nearest Neighbor Search—0
Sequence Mining and Pattern Analysis in Drilling Reports with Deep Natural Language Processing—0
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)—0
Leveraging Linguistic Resources for Improving Neural Text Classification—0
JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering System—0
MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations—0
Chinese Answer Extraction Based on POS Tree and Genetic Algorithm—0
YNU-HPCC at IJCNLP-2017 Task 5: Multi-choice Question Answering in Exams Using an Attention-based LSTM Model—0
Balancing Speed and Quality in Online Learning to Rank for Information RetrievalCode0
A Genetic Algorithm Approach for ImageRepresentation Learning through Color Quantization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-tower Bi-Encoder (RoBERTa)Recall@10074.78—Unverified
2Siamese Bi-Encoder (RoBERTa)Recall@10071.63—Unverified
3BM25Recall@10051.33—Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAE v2MRR@1042.58—Unverified
2ConAE-256Time (ms)0.33—Unverified
3ConAE-128Time (ms)0.32—Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-BE-5.8BmAP@1000.16—Unverified
2TSDAEmAP@1000.15—Unverified
#ModelMetricClaimedVerifiedStatus
1hpipubcommoninfNDCG0.56—Unverified
2hpictallinfNDCG0.55—Unverified
#ModelMetricClaimedVerifiedStatus
1MINDHR@300.32—Unverified
#ModelMetricClaimedVerifiedStatus
1Distilled NetworknDCG@100.53—Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAEMRR@100.42—Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-5.8B-msmarconDCG@1050.25—Unverified
#ModelMetricClaimedVerifiedStatus
1Information Retrieval + SVM1:1 Accuracy83.79—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT+CONCEPT FILTERNDCG0.25—Unverified