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08/02/2023
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping
Next basket recommendation (NBR) is the task of predicting the next set ...
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06/20/2023
Generative Retrieval as Dense Retrieval
Generative retrieval is a promising new neural retrieval paradigm that a...
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06/05/2023
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
Dense retrievers have achieved impressive performance, but their demand ...
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05/29/2023
Adapting Learned Sparse Retrieval for Long Documents
Learned sparse retrieval (LSR) is a family of neural retrieval methods t...
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05/22/2023
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering
Recent advances in tabular question answering (QA) with large language m...
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03/23/2023
A Unified Framework for Learned Sparse Retrieval
Learned sparse retrieval (LSR) is a family of first-stage retrieval meth...
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04/28/2022
Keep the Caption Information: Preventing Shortcut Learning in Contrastive Image-Caption Retrieval
To train image-caption retrieval (ICR) methods, contrastive loss functio...
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04/22/2022
Zero-shot Query Contextualization for Conversational Search
Current conversational passage retrieval systems cast conversational sea...
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04/21/2022
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
Automated methods have been widely used to identify and analyze mental h...
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10/10/2021
Language Models As or For Knowledge Bases
Pre-trained language models (LMs) have recently gained attention for the...
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09/10/2021
You Get What You Chat: Using Conversations to Personalize Search-based Recommendations
Prior work on personalized recommendations has focused on exploiting exp...
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09/10/2021
Personalized Entity Search by Sparse and Scrutable User Profiles
Prior work on personalizing web search results has focused on considerin...
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05/17/2021
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset
Deep Learning Hard (DL-HARD) is a new annotated dataset designed to more...
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03/09/2021
CEQE: Contextualized Embeddings for Query Expansion
In this work we leverage recent advances in context-sensitive language m...
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03/03/2021
Simplified Data Wrangling with ir_datasets
Managing the data for Information Retrieval (IR) experiments can be chal...
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10/13/2020
Pretrained Transformers for Text Ranking: BERT and Beyond
The goal of text ranking is to generate an ordered list of texts retriev...
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09/15/2020
BERT-QE: Contextualized Query Expansion for Document Re-ranking
Query expansion aims to mitigate the mismatch between the language used ...
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08/20/2020
PARADE: Passage Representation Aggregation for Document Reranking
We present PARADE, an end-to-end Transformer-based model that considers ...
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10/14/2019
STANCY: Stance Classification Based on Consistency Cues
Controversial claims are abundant in online media and discussion forums....
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04/24/2019
Listening between the Lines: Learning Personal Attributes from Conversations
Open-domain dialogue agents must be able to converse about many topics w...
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04/15/2019
CEDR: Contextualized Embeddings for Document Ranking
Although considerable attention has been given to neural ranking archite...
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04/15/2019
Contextualized Word Representations for Document Re-Ranking
Although considerable attention has been given to neural ranking archite...
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04/11/2019
Investigating Retrieval Method Selection with Axiomatic Features
We consider algorithm selection in the context of ad-hoc information ret...
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04/02/2019
Using Multi-Sense Vector Embeddings for Reverse Dictionaries
Popular word embedding methods such as word2vec and GloVe assign a singl...
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11/21/2018
Overcoming low-utility facets for complex answer retrieval
Many questions cannot be answered simply; their answers must include num...
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10/30/2018
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
Pseudo-relevance feedback (PRF) is commonly used to boost the performanc...
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09/17/2018
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Misinformation such as fake news is one of the big challenges of our soc...
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06/20/2018
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses
Self-reported diagnosis statements have been widely employed in studying...
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06/13/2018
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Mental health is a significant and growing public health concern. As lan...
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05/02/2018
Characterizing Question Facets for Complex Answer Retrieval
Complex answer retrieval (CAR) is the process of retrieving answers to q...
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09/06/2017
Depression and Self-Harm Risk Assessment in Online Forums
Users suffering from mental health conditions often turn to online resou...
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07/01/2017
An Approach for Weakly-Supervised Deep Information Retrieval
Recent developments in neural information retrieval models have been pro...
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06/30/2017
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
Neural IR models, such as DRMM and PACRR, have achieved strong results b...
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06/27/2017
DE-PACRR: Exploring Layers Inside the PACRR Model
Recent neural IR models have demonstrated deep learning's utility in ad-...
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04/12/2017
PACRR: A Position-Aware Neural IR Model for Relevance Matching
In order to adopt deep learning for information retrieval, models are ne...
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02/22/2017