research
∙
05/15/2023
Soft Prompt Decoding for Multilingual Dense Retrieval
In this work, we explore a Multilingual Information Retrieval (MLIR) tas...
share
research
∙
03/09/2023
Evaluating the Robustness of Conversational Recommender Systems by Adversarial Examples
Conversational recommender systems (CRSs) are improving rapidly, accordi...
research
∙
02/26/2023
Cross-lingual Knowledge Transfer via Distillation for Multilingual Information Retrieval
In this paper, we introduce the approach behind our submission for the M...
research
∙
01/29/2023
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation
Benefiting from transformer-based pre-trained language models, neural ra...
research
∙
12/24/2022
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank
Understanding why a model makes certain predictions is crucial when adap...
research
∙
11/02/2021
Explaining Documents' Relevance to Search Queries
We present GenEx, a generative model to explain search results to users ...
research
∙
09/13/2021
Cross-Market Product Recommendation
We study the problem of recommending relevant products to users in relat...
research
∙
09/10/2021
Query-driven Segment Selection for Ranking Long Documents
Transformer-based rankers have shown state-of-the-art performance. Howev...
research
∙
09/07/2021
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval
Pretrained contextualized representations offer great success for many d...
research
∙
03/09/2021
CEQE: Contextualized Embeddings for Query Expansion
In this work we leverage recent advances in context-sensitive language m...
research
∙
05/26/2020
A Study of Neural Matching Models for Cross-lingual IR
In this study, we investigate interaction-based neural matching models f...
research
∙
07/02/2019
Semantic Driven Fielded Entity Retrieval
A common approach for knowledge-base entity search is to consider an ent...
research
∙
06/17/2019
A Multi-Task Architecture on Relevance-based Neural Query Translation
We describe a multi-task learning approach to train a Neural Machine Tra...
research
∙
06/20/2018
Explaining Controversy on Social Media via Stance Summarization
In an era in which new controversies rapidly emerge and evolve on social...
research
∙
06/12/2018
Named Entity Recognition with Extremely Limited Data
Traditional information retrieval treats named entity recognition as a p...
research
∙
01/08/2018
Term Relevance Feedback for Contextual Named Entity Retrieval
We address the role of a user in Contextual Named Entity Retrieval (CNER...
research
∙
03/16/2017