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08/01/2023
On the Effects of Regional Spelling Conventions in Retrieval Models
One advantage of neural ranking models is that they are meant to general...
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08/01/2023
Generative Query Reformulation for Effective Adhoc Search
Performing automatic reformulations of a user's query is a popular parad...
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07/31/2023
Lexically-Accelerated Dense Retrieval
Retrieval approaches that score documents based on learned dense vectors...
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06/29/2023
Re-Rank - Expand - Repeat: Adaptive Query Expansion for Document Retrieval Using Words and Entities
Sparse and dense pseudo-relevance feedback (PRF) approaches perform poor...
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05/30/2023
The Information Retrieval Experiment Platform
We integrate ir_datasets, ir_measures, and PyTerrier with TIRA in the In...
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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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04/24/2023
Overview of the TREC 2022 NeuCLIR Track
This is the first year of the TREC Neural CLIR (NeuCLIR) track, which ai...
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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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02/22/2023
One-Shot Labeling for Automatic Relevance Estimation
Dealing with unjudged documents ("holes") in relevance assessments is a ...
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01/09/2023
Doc2Query–: When Less is More
Doc2Query – the process of expanding the content of a document before in...
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08/18/2022
Adaptive Re-Ranking with a Corpus Graph
Search systems often employ a re-ranking pipeline, wherein documents (or...
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05/09/2022
CODEC: Complex Document and Entity Collection
CODEC is a document and entity ranking benchmark that focuses on complex...
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04/27/2022
On Survivorship Bias in MS MARCO
Survivorship bias is the tendency to concentrate on the positive outcome...
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01/21/2022
Reproducing Personalised Session Search over the AOL Query Log
Despite its troubled past, the AOL Query Log continues to be an importan...
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11/26/2021
Streamlining Evaluation with ir-measures
We present ir-measures, a new tool that makes it convenient to calculate...
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08/31/2021
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
We consider the query recommendation problem in closed loop interactive ...
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08/09/2021
IntenT5: Search Result Diversification using Causal Language Models
Search result diversification is a beneficial approach to overcome under...
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05/03/2021
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review
Technology-assisted review (TAR) refers to iterative active learning wor...
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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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03/01/2021
ToxCCIn: Toxic Content Classification with Interpretability
Despite the recent successes of transformer-based models in terms of eff...
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11/02/2020
ABNIRML: Analyzing the Behavior of Neural IR Models
Numerous studies have demonstrated the effectiveness of pretrained conte...
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10/12/2020
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search
With worldwide concerns surrounding the Severe Acute Respiratory Syndrom...
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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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07/28/2020
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection
Offensive language detection is an important and challenging task in nat...
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05/18/2020
Interaction Matching for Long-Tail Multi-Label Classification
We present an elegant and effective approach for addressing limitations ...
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05/05/2020
SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search
With worldwide concerns surrounding the Severe Acute Respiratory Syndrom...
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04/29/2020
Training Curricula for Open Domain Answer Re-Ranking
In precision-oriented tasks like answer ranking, it is more important to...
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04/29/2020
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations
Deep pretrained transformer networks are effective at various ranking ta...
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04/29/2020
Expansion via Prediction of Importance with Contextualization
The identification of relevance with little textual context is a primary...
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01/18/2020
Ranking Significant Discrepancies in Clinical Reports
Medical errors are a major public health concern and a leading cause of ...
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12/30/2019
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning
While billions of non-English speaking users rely on search engines ever...
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05/14/2019
Ontology-Aware Clinical Abstractive Summarization
Automatically generating accurate summaries from clinical reports could ...
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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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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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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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04/16/2018
A Deeper Look into Dependency-Based Word Embeddings
We investigate the effect of various dependency-based word embeddings on...
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04/15/2018
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification
SemEval 2018 Task 7 focuses on relation ex- traction and classification ...
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07/01/2017