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 2576–2600 of 4740 papers

TitleStatusHype
Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis—0
Unsupervised Word Sense Induction using Distributional Statistics—0
UNT: A Supervised Synergistic Approach to Semantic Text Similarity—0
Unveiling Temporal Trends in 19th Century Literature: An Information Retrieval Approach—0
UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity—0
Usability Evaluation for Online Professional Search in the Dutch Archaeology Domain—0
Rapid Probabilistic Interest Learning from Domain-Specific Pairwise Image Comparisons—0
User Edits Classification Using Document Revision Histories—0
User Modeling and User Profiling: A Comprehensive Survey—0
User Profiling Trends, Techniques and Applications—0
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box—0
Using a Cross-Language Information Retrieval System based on OHSUMED to Evaluate the Moses and KantanMT Statistical Machine Translation Systems—0
Making Cross-Domain Recommendations by Associating Disjoint Users and Items Through the Affective Aware Pseudo Association Method—0
Using Arabic Wordnet for semantic indexation in information retrieval system—0
Using a Random Forest Classifier to Compile Bilingual Dictionaries of Technical Terms from Comparable Corpora—0
Using a Random Forest Classifier to recognise translations of biomedical terms across languages—0
Using Argumentative Zones for Extractive Summarization of Scientific Articles—0
Using a Weighted Semantic Network for Lexical Semantic Relatedness—0
Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality—0
Using Entropy Estimates for DAG-Based Ontologies—0
Using Generic Summarization to Improve Music Information Retrieval Tasks—0
Using Linear Classifiers for the Automatic Triage of Posts in the 2016 CLPsych Shared Task—0
Using Parallel Corpora for Word Sense Disambiguation—0
Using paraphrases for improving first story detection in news and Twitter—0
Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions—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