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Information Retrieval

2362 directly classified papers

Papers per year

Papers

HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations EMNLP 2021
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations ACL 2021
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers ACL 2021
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation ACL 2021
End-to-End Training of Neural Retrievers for Open-Domain Question Answering ACL 2021
Personalized Search-based Query Rewrite System for Conversational AI EMNLP 2021
GerDaLIR: A German Dataset for Legal Information Retrieval EMNLP 2021
Searching for Legal Documents at Paragraph Level: Automating Label Generation and Use of an Extended Attention Mask for Boosting Neural Models of Semantic Similarity EMNLP 2021
Simple and Efficient ways to Improve REALM EMNLP 2021
GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval EMNLP 2021
MFAQ: a Multilingual FAQ Dataset EMNLP 2021
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval EMNLP 2021
Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task EMNLP 2021
FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information EMNLP 2021
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task EMNLP 2021
Cross-language Sentence Selection via Data Augmentation and Rationale Training ACL 2021
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP EMNLP 2021
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks EMNLP 2021
Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms EMNLP 2021
Don’t Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting EMNLP 2021
Cross-Modal Retrieval Augmentation for Multi-Modal Classification EMNLP 2021
Simple Entity-Centric Questions Challenge Dense Retrievers EMNLP 2021
Lost in Interpreting: Speech Translation from Source or Interpreter? INTERSPEECH 2021
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder EMNLP 2021
Condenser: a Pre-training Architecture for Dense Retrieval EMNLP 2021