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 3276–3300 of 4740 papers

TitleStatusHype
Importance sampling for unbiased on-demand evaluation of knowledge base population—0
Demographic-aware word associations—0
StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern—0
R^3: Reinforced Reader-Ranker for Open-Domain Question AnsweringCode0
Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language?—0
Evaluation Measures for Relevance and Credibility in Ranked ListsCode0
EveTAR: Building a Large-Scale Multi-Task Test Collection over Arabic Tweets—0
Modelling Word Burstiness in Natural Language: A Generalised Polya Process for Document Language Models in Information Retrieval—0
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVMCode0
Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data—0
Improved Answer Selection with Pre-Trained Word Embeddings—0
Variational Deep Semantic Hashing for Text DocumentsCode0
Simple and Effective Dimensionality Reduction for Word EmbeddingsCode0
Utilizing Embeddings for Ad-hoc Retrieval by Document-to-document Similarity—0
SESA: Supervised Explicit Semantic Analysis—0
Neural Vector Spaces for Unsupervised Information RetrievalCode0
Towards Semantic Modeling of Contradictions and Disagreements: A Case Study of Medical Guidelines—0
Query expansion techniques for information retrieval: A survey—0
Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models—0
Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation—0
Assessing the performance of Olelo, a real-time biomedical question answering application—0
A Multi-strategy Query Processing Approach for Biomedical Question Answering: USTB\_PRIR at BioASQ 2017 Task 5B—0
Automatic classification of doctor-patient questions for a virtual patient record query task—0
Sentence Alignment using Unfolding Recursive Autoencoders—0
Toward a Comparable Corpus of Latvian, Russian and English Tweets—0
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All datasetsBSARDMS MARCOCQADupStackTREC-PMAmazonMSLR WEB30KMSMARCOMTEBNews HeadlinesOhsumed

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