research
∙
07/25/2023
An Intent Taxonomy of Legal Case Retrieval
Legal case retrieval is a special Information Retrieval (IR) task focusi...
share
research
∙
04/24/2023
Constructing Tree-based Index for Efficient and Effective Dense Retrieval
Recent studies have shown that Dense Retrieval (DR) techniques can signi...
research
∙
08/11/2022
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval
Recent advance in Dense Retrieval (DR) techniques has significantly impr...
research
∙
04/25/2022
Evaluating Extrapolation Performance of Dense Retrieval
A retrieval model should not only interpolate the training data but also...
research
∙
04/07/2022
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy
Proactive dialogue system is able to lead the conversation to a goal top...
research
∙
02/22/2022
KuaiRec: A Fully-observed Dataset for Recommender Systems
Recommender systems are usually developed and evaluated on the historica...
research
∙
11/27/2021
Interpreting Dense Retrieval as Mixture of Topics
Dense Retrieval (DR) reaches state-of-the-art results in first-stage ret...
research
∙
10/12/2021
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
Dense Retrieval (DR) has achieved state-of-the-art first-stage ranking e...
research
∙
09/07/2021
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling
Conversational search systems, such as Google Assistant and Microsoft Co...
research
∙
08/02/2021
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
Recently, Information Retrieval community has witnessed fast-paced advan...
research
∙
04/16/2021
Optimizing Dense Retrieval Model Training with Hard Negatives
Ranking has always been one of the top concerns in information retrieval...
research
∙
12/24/2020
THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment
In this paper, we present our methodologies for tackling the challenges ...
research
∙
10/20/2020
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently
Ranking has always been one of the top concerns in information retrieval...
research
∙
08/20/2020
Neural Logic Reasoning
Recent years have witnessed the success of deep neural networks in many ...
research
∙
06/28/2020
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
Although exact term match between queries and documents is the dominant ...
research
∙
04/28/2020
Unbiased Learning to Rank: Online or Offline?
How to obtain an unbiased ranking model by learning to rank with biased ...
research
∙
05/08/2018