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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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07/14/2023
QontSum: On Contrasting Salient Content for Query-focused Summarization
Query-focused summarization (QFS) is a challenging task in natural langu...
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02/02/2023
Curriculum-Guided Abstractive Summarization
Recent Transformer-based summarization models have provided a promising ...
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02/02/2023
Curriculum-guided Abstractive Summarization for Mental Health Online Posts
Automatically generating short summaries from users' online mental healt...
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06/02/2022
MentSum: A Resource for Exploring Summarization of Mental Health Online Posts
Mental health remains a significant challenge of public health worldwide...
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06/02/2022
TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generation
Many scientific papers such as those in arXiv and PubMed data collection...
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10/04/2021
TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts
Recent models in developing summarization systems consist of millions of...
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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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12/28/2020
On Generating Extended Summaries of Long Documents
Prior work in document summarization has mainly focused on generating sh...
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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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08/21/2020
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles
This paper presents our systems for SemEval 2020 Shared Task 11: Detecti...
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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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05/01/2020
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization
Sequence-to-sequence (seq2seq) network is a well-established model for t...
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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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04/19/2018
Helping or Hurting? Predicting Changes in Users' Risk of Self-Harm Through Online Community Interactions
In recent years, online communities have formed around suicide and self-...
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04/16/2018
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Neural abstractive summarization models have led to promising results in...
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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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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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08/15/2017
Identifying Harm Events in Clinical Care through Medical Narratives
Preventable medical errors are estimated to be among the leading causes ...
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06/12/2017
Scientific document summarization via citation contextualization and scientific discourse
The rapid growth of scientific literature has made it difficult for the ...
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05/23/2017
Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge
Citation texts are sometimes not very informative or in some cases inacc...
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04/21/2017
Scientific Article Summarization Using Citation-Context and Article's Discourse Structure
We propose a summarization approach for scientific articles which takes ...
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02/23/2017
A Neural Attention Model for Categorizing Patient Safety Events
Medical errors are leading causes of death in the US and as such, preven...
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02/22/2017
Triaging Content Severity in Online Mental Health Forums
Mental health forums are online communities where people express their i...
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04/01/2016
