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 3301–3350 of 4740 papers

TitleStatusHype
Translation Using JAPIO Patent Corpora: JAPIO at WAT2016—0
Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base—0
Transliteration Mining Using Large Training and Test Sets—0
Transportation Modes Classification Using Feature Engineering—0
TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation—0
TREC 2020 Podcasts Track Overview—0
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection—0
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition—0
Triaging Mental Health Forum Posts—0
Tri-Modal Motion Retrieval by Learning a Joint Embedding Space—0
Triple based Background Knowledge Ranking for Document Enrichment—0
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization—0
Tunisian dialect Wordnet creation and enrichment using web resources and other Wordnets—0
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation—0
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System—0
TVD: A Reproducible and Multiply Aligned TV Series Dataset—0
TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier—0
Twitter Paraphrase Identification with Simple Overlap Features and SVMs—0
Twitter Translation using Translation-Based Cross-Lingual Retrieval—0
Twitter Universal Dependency Parsing for African-American and Mainstream American English—0
Two approaches for integrating translation and retrieval in real applications—0
Two Database Resources for Processing Social Media English Text—0
Two-Layer Generalization Analysis for Ranking Using Rademacher Average—0
Two LRL \& Distractor Corpora from Web Information Retrieval and a Small Case Study in Language Identification without Training Corpora—0
Two-Stage Document Length Normalization for Information Retrieval—0
Two-Stage Hashing for Fast Document Retrieval—0
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE—0
Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging—0
UABCoRAL: A Preliminary study for Resolving the Scope of Negation—0
UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment—0
UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)—0
UDLex: Towards Cross-language Subcategorization Lexicons—0
UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.—0
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval—0
Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation—0
UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition—0
UMBC\_EBIQUITY-CORE: Semantic Textual Similarity Systems—0
UMCC\_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance—0
UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation—0
UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags—0
Unary and Binary Classification Approaches and their Implications for Authorship Verification—0
Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data—0
Uncertainty Detection in Hungarian Texts—0
Uncertainty in Neural Network Word Embedding: Exploration of Threshold for Similarity—0
Uncovering Distributional Differences between Synonyms and Antonyms in a Word Space Model—0
Understanding and Predicting Characteristics of Test Collections in Information Retrieval—0
Understanding BERT Rankers Under Distillation—0
Understanding, Categorizing and Predicting Semantic Image-Text Relations—0
Understanding Mobile Search Task Relevance and User Behaviour in Context—0
Understanding news story chains using information retrieval and network clustering techniques—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