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Passage Retrieval

Passage retrieval is a specialized type of IR application that retrieves relevant passages (or pieces of text) rather than an entire ranked set of documents.

Papers

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Showing 201–250 of 268 papers

TitleStatusHype
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Conversational Search with Mixed-Initiative -- Asking Good Clarification Questions backed-up by Passage Retrieval—0
Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study—0
A Sensitivity Analysis of the MSMARCO Passage Collection—0
How to Build Robust FAQ Chatbot with Controllable Question Generator?—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval—0
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?—0
Slot Filling for Biomedical Information Extraction—0
RE: A Study for Restorable Embeddings—0
Hyperlink-induced Pre-training for Passage Retrieval of Open-domain Question Answering—0
Multi-Vector Attention Models for Deep Re-ranking—0
Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval—0
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval—0
Learning Representations for Zero-Shot Retrieval over Structured Data—0
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval—0
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking—0
Mention Memory: incorporating textual knowledge into Transformers through entity mention attentionCode0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering—0
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering—0
Slot Filling for Biomedical Information ExtractionCode0
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case LawCode0
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval—0
DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrievalCode0
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering—0
Domain-matched Pre-training Tasks for Dense Retrieval—0
A Modern Perspective on Query Likelihood with Deep Generative Retrieval ModelsCode0
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question AnsweringCode0
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application—0
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT RankersCode0
GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval—0
Contextualized Query Embeddings for Conversational Search—0
Joint Passage Ranking for Diverse Multi-Answer Retrieval—0
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval—0
Supporting search engines with knowledge and context—0
Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval—0
A Comparison of Question Rewriting Methods for Conversational Passage RetrievalCode0
A Deep Metric Learning Method for Biomedical Passage Retrieval—0
A Little Bit Is Worse Than None: Ranking with Limited Training DataCode0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—0
Neural Passage Retrieval with Improved Negative Contrast—0
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering—0
Brown University at TREC Deep Learning 2019—0
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting—0
Do Neural Ranking Models Intensify Gender Bias?Code0
Question Rewriting for Conversational Question Answering—0
Expansion via Prediction of Importance with ContextualizationCode0
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