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 2701–2750 of 4740 papers

TitleStatusHype
Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question AnsweringCode1
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model—0
Segmentation for Domain Adaptation in Arabic—0
Text-to-SQL Generation for Question Answering on Electronic Medical RecordsCode0
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction—0
Modelling Dynamic Interactions between Relevance Dimensions—0
Fine-Grained Sentence Functions for Short-Text Conversation—0
Careful Selection of Knowledge to solve Open Book Question Answering—0
Overview and Results: CL-SciSumm Shared Task 2019Code0
Mining Temporal Evolution of Knowledge Graph and Genealogical Features for Literature-based Discovery PredictionCode0
Greedy Optimized Multileaving for PersonalizationCode0
A Neural Turing~Machine for Conditional Transition Graph Modeling—0
Learning Complex Basis Functions for Invariant Representations of AudioCode0
High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query CompatibilityCode1
Proceedings of FACTS-IR 2019—0
ReQA: An Evaluation for End-to-End Answer Retrieval ModelsCode0
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects—0
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks—0
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases—0
Extraction and Analysis of Fictional Character Networks: A SurveyCode0
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition—0
Spoken WordNet—0
Recherche et extraction d'information dans des cas cliniques. Pr\'esentation de la campagne d'\'evaluation DEFT 2019 (Information Retrieval and Information Extraction from Clinical Cases)—0
Qwant Research @DEFT 2019 : appariement de documents et extraction d'informations \`a partir de cas cliniques (Document matching and information retrieval using clinical cases)—0
D\'etecter la non-adh\'erence m\'edicamenteuse dans les forums de discussion avec les m\'ethodes de recherche d'information (Detect drug non-compliance in Internet fora using Information Retrieval methods )—0
SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage—0
Evidence-based Trustworthiness—0
Wikipedia as a Resource for Text Analysis and Retrieval—0
Music Performance Analysis: A Survey—0
Survey of Information Encoding Techniques for DNA—0
A Convolutional Approach to Melody Line Identification in Symbolic ScoresCode0
RLTM: An Efficient Neural IR Framework for Long Documents—0
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big DatasetsCode0
Adversarial Learning for Improved Onsets and Frames Music Transcription—0
Understanding, Categorizing and Predicting Semantic Image-Text Relations—0
Domain Adaptation for Enterprise Email Search—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Practical User Feedback-driven Internal Search Using Online Learning to Rank—0
Neural Arabic Question AnsweringCode0
HEAD-QA: A Healthcare Dataset for Complex Reasoning—0
Deep Learning-Based Automatic Downbeat Tracking: A Brief ReviewCode0
Question Answering as Global Reasoning over Semantic AbstractionsCode0
Deep Contextualized Biomedical Abbreviation Expansion—0
Recovering Variable Names for Minified Code with Usage Contexts—0
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations—0
Compositional Questions Do Not Necessitate Multi-hop ReasoningCode0
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text MiningCode0
Unsupervised Neural Generative Semantic Hashing—0
DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation—0
LT Expertfinder: An Evaluation Framework for Expert Finding MethodsCode0
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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