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 2951–3000 of 4740 papers

TitleStatusHype
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots—0
Towards Automated Customer SupportCode0
Using Semantics for Granularities of Tokenization—0
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension—0
A novel graph-based model for hybrid recommendations in cold-start scenarios—0
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio FeaturesCode0
Characterizing the Influence of Features on Reading Difficulty Estimation for Non-native Readers—0
Implementation Notes for the Soft Cosine Measure—0
Xu: An Automated Query Expansion and Optimization Tool—0
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries—0
A Trio Neural Model for Dynamic Entity Relatedness Ranking—0
A Usefulness-based Approach for Measuring the Local and Global Effect of IIR Services—0
Methodology for identifying study sites in scientific corpus—0
Learning Discriminative Hashing Codes for Cross-Modal Retrieval based on Multi-view Features—0
Deep Randomized Ensembles for Metric LearningCode0
Lingke: A Fine-grained Multi-turn Chatbot for Customer Service—0
On feature selection and evaluation of transportation mode prediction strategiesCode0
A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks—0
Semblance: A Rank-Based Kernel on Probability Spaces for Niche Detection—0
Lyrics Segmentation: Textual Macrostructure Detection using ConvolutionsCode0
Knowledge Representation with Conceptual Spaces—0
Cooperative Denoising for Distantly Supervised Relation Extraction—0
Context-Sensitive Generation of Open-Domain Conversational Responses—0
Task-oriented Word Embedding for Text ClassificationCode0
Simple Neologism Based Domain Independent Models to Predict Year of Authorship—0
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return PredictionCode0
Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources—0
Unsupervised Morphology Learning with Statistical ParadigmsCode0
Learning What to Share: Leaky Multi-Task Network for Text Classification—0
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge—0
T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine—0
Semantic Parsing for Technical Support Questions—0
Genre Identification and the Compositional Effect of Genre in Literature—0
Modeling the Readability of German Targeting Adults and Children: An empirically broad analysis and its cross-corpus validation—0
Leveraging Meta-Embeddings for Bilingual Lexicon Extraction from Specialized Comparable Corpora—0
A Unified RvNN Framework for End-to-End Chinese Discourse Parsing—0
Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training—0
Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based GraphCode0
Joint Learning from Labeled and Unlabeled Data for Information Retrieval—0
Deep Neural Networks at the Service of Multilingual Parallel Sentence Extraction—0
Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty DetectionCode0
LCQMC:A Large-scale Chinese Question Matching Corpus—0
Identifying Emergent Research Trends by Key Authors and PhrasesCode0
Filtering Aggression from the Multilingual Social Media Feed—0
Discovering Latent Information By Spreading Activation Algorithm For Document Retrieval—0
Transportation Modes Classification Using Feature Engineering—0
Visual Display and Retrieval of Music Information—0
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations—0
On the Equilibrium of Query Reformulation and Document Retrieval—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