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 4276–4300 of 4740 papers

TitleStatusHype
Development of Marathi Part of Speech Tagger Using Statistical Approach—0
Semantic Na\" Bayes Classifier for Document Classification—0
WordTopic-MultiRank: A New Method for Automatic Keyphrase Extraction—0
Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings—0
Building Specialized Bilingual Lexicons Using Large Scale Background Knowledge—0
Japanese Zero Reference Resolution Considering Exophora and Author/Reader Mentions—0
Interest Analysis using PageRank and Social Interaction Content—0
Using Transliteration of Proper Names from Arabic to Latin Script to Improve English-Arabic Word Alignment—0
Event-Centered Information Retrieval Using Kernels on Event Graphs—0
Identifying Phrasal Verbs Using Many Bilingual Corpora—0
TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction—0
A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers—0
Structured Penalties for Log-Linear Language Models—0
Unsupervised Relation Extraction with General Domain Knowledge—0
A Graph-Based Approach to Skill Extraction from Text—0
Structure Cognizant Pseudo Relevance Feedback—0
Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation—0
Building Chinese Event Type Paradigm Based on Trigger Clustering—0
Mining the Gaps: Towards Polynomial Summarization—0
Semantic v.s. Positions: Utilizing Balanced Proximity in Language Model Smoothing for Information Retrieval—0
Improving Calculation of Contextual Similarity for Constructing a Bilingual Dictionary via a Third Language—0
Uncovering Distributional Differences between Synonyms and Antonyms in a Word Space Model—0
Applying Graph-based Keyword Extraction to Document Retrieval—0
A Comparison of Centrality Measures for Graph-Based Keyphrase ExtractionCode0
Generalized Abbreviation Prediction with Negative Full Forms and Its Application on Improving Chinese Web Search—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