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Showing 501–550 of 743 papers

TitleStatusHype
Multi-modal Representation Learning for Video Advertisement Content Structuring—0
Spelling Correction for Russian: A Comparative Study of Datasets and Methods—0
DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrievalCode0
Textual Representations for Crosslingual Information Retrieval—0
A Discriminative Semantic Ranker for Question Retrieval—0
A Modern Perspective on Query Likelihood with Deep Generative Retrieval ModelsCode0
Exploiting Sentence-Level Representations for Passage RankingCode0
A Three-step Method for Multi-Hop Inference Explanation Regeneration—0
DeepBlueAI at TextGraphs 2021 Shared Task: Treating Multi-Hop Inference Explanation Regeneration as A Ranking ProblemCode0
IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization—0
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering—0
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval—0
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach—0
Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification—0
Text-to-Text Multi-view Learning for Passage Re-ranking—0
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT RankersCode0
Reranking Machine Translation Hypotheses with Structured and Web-based Language Models—0
Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context—0
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval—0
BERT Embeddings Can Track Context in Conversational Search—0
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering—0
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers—0
From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search—0
Attention-based neural re-ranking approach for next city in trip recommendations—0
Unsupervised and self-adaptative techniques for cross-domain person re-identificationCode0
Composite Re-Ranking for Efficient Document Search with BERT—0
CEQE: Contextualized Embeddings for Query Expansion—0
LRG at TREC 2020: Document Ranking with XLNet-Based Models—0
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation—0
Revisit Recommender System in the Permutation Prospective—0
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval—0
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection—0
Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval—0
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces—0
The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation—0
Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking—0
Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking—0
Red Dragon AI at TextGraphs 2020 Shared Task : LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking—0
Explanation Regeneration via Multi-Hop ILP Inference over Knowledge Base—0
Lost in Back-Translation: Emotion Preservation in Neural Machine Translation—0
Improving Passage Re-Ranking with Word N-Gram Aware Coattention Encoder—0
University of Washington at TREC 2020 Fairness Ranking Track—0
DiDi’s Machine Translation System for WMT2020—0
Querying Across Genres for Medical Claims in News—0
IIE’s Neural Machine Translation Systems for WMT20—0
Samsung R&D Institute Poland submission to WMT20 News Translation Task—0
UniHD@CL-SciSumm 2020: Citation Extraction as Search—0
Tilde at WMT 2020: News Task Systems—0
DiDi's Machine Translation System for WMT2020—0
Police-In-The-Loop Person Re-identification—0
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