| Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations | 0 | 0.34 | 2022 |
| P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning | 0 | 0.34 | 2022 |
| Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators | 0 | 0.34 | 2022 |
| ClueWeb22: 10 Billion Web Documents with Rich Information | 0 | 0.34 | 2022 |
| Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback | 5 | 0.53 | 2021 |
| Capturing Global Informativeness in Open Domain Keyphrase Extraction. | 0 | 0.34 | 2021 |
| COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. | 0 | 0.34 | 2021 |
| TIAGE - A Benchmark for Topic-Shift Aware Dialog Modeling. | 0 | 0.34 | 2021 |
| Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature | 1 | 0.35 | 2021 |
| Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval | 0 | 0.34 | 2021 |
| Less is More - Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. | 0 | 0.34 | 2021 |
| OpenMatch: An Open Source Library for Neu-IR Research | 0 | 0.34 | 2021 |
| Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. | 0 | 0.34 | 2021 |
| Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval | 0 | 0.34 | 2021 |
| Few-Shot Conversational Dense Retrieval | 3 | 0.40 | 2021 |
| Data Augmentation For Abstractive Query-Focused Multi-Document Summarization | 0 | 0.34 | 2021 |
| Towards Interpretable Natural Language Understanding with Explanations as Latent Variables | 0 | 0.34 | 2020 |
| Text Classification Using Label Names Only: A Language Model Self-Training Approach. | 0 | 0.34 | 2020 |
| Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention | 0 | 0.34 | 2020 |
| Recent Advances in Conversational Information Retrieval | 3 | 0.39 | 2020 |
| Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020 | 0 | 0.34 | 2020 |
| Cast 2019: The conversational assistance track overview | 0 | 0.34 | 2020 |
| Generalizing Open Domain Fact Extraction and Verification to COVID-FACT thorough In-Domain Language Modeling. | 0 | 0.34 | 2020 |
| Fine-grained Fact Verification with Kernel Graph Attention Network | 1 | 0.34 | 2020 |
| Few-Shot Generative Conversational Query Rewriting | 5 | 0.47 | 2020 |
| Contextual Re-Ranking with Behavior Aware Transformers | 1 | 0.36 | 2020 |
| Knowledge Enhanced Personalized Search | 5 | 0.42 | 2020 |
| Leading Conversational Search by Suggesting Useful Questions | 5 | 0.43 | 2020 |
| CAsT-19: A Dataset for Conversational Information Seeking | 1 | 0.44 | 2020 |
| Complex Factoid Question Answering with a Free-Text Knowledge Graph | 1 | 0.36 | 2020 |
| TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network | 3 | 0.40 | 2020 |
| Selective Weak Supervision for Neural Information Retrieval | 2 | 0.39 | 2020 |
| Latent Relation Language Models | 1 | 0.36 | 2020 |
| Open Domain Web Keyphrase Extraction Beyond Language Modeling | 2 | 0.37 | 2019 |
| Understanding the Behaviors of BERT in Ranking. | 3 | 0.38 | 2019 |
| An Axiomatic Approach to Regularizing Neural Ranking Models. | 2 | 0.37 | 2019 |
| Generic Intent Representation in Web Search | 4 | 0.42 | 2019 |
| Special issue on knowledge graphs and semantics in text analysis and retrieval | 0 | 0.34 | 2019 |
| The Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR). | 0 | 0.34 | 2018 |
| Text Representation, Retrieval, and Understanding with Knowledge Graphs | 0 | 0.34 | 2018 |
| Query Suggestion with Feedback Memory Network. | 8 | 0.45 | 2018 |
| Automatic Event Salience Identification. | 0 | 0.34 | 2018 |
| Consistency and Variation in Kernel Neural Ranking Model. | 0 | 0.34 | 2018 |
| Improving Ad Hoc Retrieval With Bag Of Entities. | 0 | 0.34 | 2018 |
| Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. | 38 | 1.24 | 2018 |
| Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. | 3 | 0.37 | 2018 |
| Entity-Duet Neural Ranking: Understanding The Role Of Knowledge Graph Semantics In Neural Information Retrieval | 1 | 0.35 | 2018 |
| Overview of The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR). | 1 | 0.35 | 2017 |
| The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR) | 2 | 0.37 | 2017 |
| End-to-End Neural Ad-hoc Ranking with Kernel Pooling. | 79 | 2.05 | 2017 |
