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08/27/2023
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
This paper proposes Text mAtching based SequenTial rEcommendation model ...
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05/31/2023
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
This paper presents Structure Aware Dense Retrieval (SANTA) model, which...
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05/24/2023
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
Common IR pipelines are typically cascade systems that may involve multi...
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09/01/2022
Universal Multi-Modality Retrieval with One Unified Embedding Space
This paper presents Vision-Language Universal Search (VL-UnivSearch), wh...
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05/06/2022
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
Dense retrievers encode texts and map them in an embedding space using p...
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05/04/2022
P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning
Compared to other language tasks, applying pre-trained language models (...
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12/30/2021
YACLC: A Chinese Learner Corpus with Multidimensional Annotation
Learner corpus collects language data produced by L2 learners, that is s...
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09/09/2021
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling
Human conversations naturally evolve around different topics and fluentl...
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07/16/2021
More Robust Dense Retrieval with Contrastive Dual Learning
Dense retrieval conducts text retrieval in the embedding space and has s...
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05/10/2021
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
Grammatical Error Correction (GEC) aims to correct writing errors and he...
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05/10/2021
Few-Shot Conversational Dense Retrieval
Dense retrieval (DR) has the potential to resolve the query understandin...
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01/30/2021
OpenMatch: An Open-Source Package for Information Retrieval
Information Retrieval (IR) is an important task and can be used in many ...
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12/29/2020
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision
Neural Information Retrieval (Neu-IR) models have shown their effectiven...
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11/03/2020
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Neural rankers based on deep pretrained language models (LMs) have been ...
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10/12/2020
Toward Cross-Lingual Definition Generation for Language Learners
Generating dictionary definitions automatically can prove useful for lan...
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04/28/2020
Joint Keyphrase Chunking and Salience Ranking with BERT
An effective keyphrase extraction system requires to produce self-contai...
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04/15/2020
Coreferential Reasoning Learning for Language Representation
Language representation models such as BERT could effectively capture co...
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01/28/2020
Selective Weak Supervision for Neural Information Retrieval
This paper democratizes neural information retrieval to scenarios where ...
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11/07/2019
Conversation Generation with Concept Flow
Human conversations naturally evolve around related entities and connect...
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11/06/2019
Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network
Multi-paragraph reasoning is indispensable for open-domain question answ...
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10/22/2019
Kernel Graph Attention Network for Fact Verification
This paper presents Kernel Graph Attention Network (KGAT), which conduct...
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08/28/2019
Explore Entity Embedding Effectiveness in Entity Retrieval
This paper explores entity embedding effectiveness in ad-hoc entity retr...
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06/14/2019
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Multiple entities in a document generally exhibit complex inter-sentence...
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04/16/2019
Understanding the Behaviors of BERT in Ranking
This paper studies the performances and behaviors of BERT in ranking tas...
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05/19/2018