research
∙
05/12/2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making
The current literature on AI-advised decision making – involving explain...
share
research
∙
03/11/2023
An Interactive UI to Support Sensemaking over Collections of Parallel Texts
Scientists and science journalists, among others, often need to make sen...
research
∙
02/14/2023
ScatterShot: Interactive In-context Example Curation for Text Transformation
The in-context learning capabilities of LLMs like GPT-3 allow annotators...
research
∙
02/14/2023
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context
When reading a scholarly article, inline citations help researchers cont...
research
∙
01/24/2023
The Semantic Scholar Open Data Platform
The volume of scientific output is creating an urgent need for automated...
research
∙
08/16/2022
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs
The vast scale and open-ended nature of knowledge graphs (KGs) make expl...
research
∙
05/14/2022
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts
Systems that can automatically define unfamiliar terms hold the promise ...
research
∙
05/09/2022
Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers
Researchers are expected to keep up with an immense literature, yet ofte...
research
∙
05/09/2022
Few-shot Mining of Naturally Occurring Inputs and Outputs
Creating labeled natural language training data is expensive and require...
research
∙
05/04/2022
A Computational Inflection for Scientific Discovery
We stand at the foot of a significant inflection in the trajectory of sc...
research
∙
04/27/2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
An important goal in the field of human-AI interaction is to help users ...
research
∙
04/21/2022
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks
The ever-increasing pace of scientific publication necessitates methods ...
research
∙
03/16/2022
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search
Abstractive summarization systems today produce fluent and relevant outp...
research
∙
09/27/2021
Exploring The Role of Local and Global Explanations in Recommender Systems
Explanations are well-known to improve recommender systems' transparency...
research
∙
08/31/2021
A Search Engine for Discovery of Scientific Challenges and Directions
Keeping track of scientific challenges, advances and emerging directions...
research
∙
08/04/2021
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty
Human ratings have become a crucial resource for training and evaluating...
research
∙
06/01/2021
Incorporating Visual Layout Structures for Scientific Text Classification
Classifying the core textual components of a scientific paper-title, aut...
research
∙
04/30/2021
Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users
The majority of scientific papers are distributed in PDF, which pose cha...
research
∙
01/17/2021
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation
Leaderboards have eased model development for many NLP datasets by stand...
research
∙
01/01/2021
Polyjuice: Automated, General-purpose Counterfactual Generation
Counterfactual examples have been shown to be useful for many applicatio...
research
∙
06/26/2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Increasingly, organizations are pairing humans with AI systems to improv...
research
∙
06/11/2020
High-Precision Extraction of Emerging Concepts from Scientific Literature
Identification of new concepts in scientific literature can help power f...
research
∙
05/20/2020
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search
The COVID-19 pandemic has sparked unprecedented mobilization of scientis...
research
∙
05/04/2020
The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America
Chronicling America is a product of the National Digital Newspaper Progr...
research
∙
04/30/2020
TLDR: Extreme Summarization of Scientific Documents
We introduce TLDR generation for scientific papers, a new automatic summ...
research
∙
04/27/2020
Optimizing AI for Teamwork
In many high-stakes domains such as criminal justice, finance, and healt...
research
∙
04/22/2020
CORD-19: The COVID-19 Open Research Dataset
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of sc...
research
∙
04/15/2020
SPECTER: Document-level Representation Learning using Citation-informed Transformers
Representation learning is a critical ingredient for natural language pr...
research
∙
04/15/2020
Document-level Representation Learning using Citation-informed Transformers
Representation learning is a critical ingredient for natural language pr...
research
∙
03/09/2020
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation
Research in human-centered AI has shown the benefits of machine-learning...
research
∙
09/09/2019
Pretrained Language Models for Sequential Sentence Classification
As a step toward better document-level understanding, we explore classif...
research
∙
08/24/2019
BERT for Coreference Resolution: Baselines and Analysis
We apply BERT to coreference resolution, achieving strong improvements o...
research
∙
07/24/2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans
We present SpanBERT, a pre-training method that is designed to better re...
research
∙
10/25/2018
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing
Traditional approaches for ensuring high quality crowdwork have failed t...
research
∙
10/20/2018
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Reasoning about implied relationships (e.g. paraphrastic, common sense, ...
research
∙
08/26/2018
Semi-Supervised Event Extraction with Paraphrase Clusters
Supervised event extraction systems are limited in their accuracy due to...
research
∙
03/26/2018
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow
Stack Overflow (SO) has been a great source of natural language question...
research
∙
03/09/2018
Intelligible Artificial Intelligence
Since Artificial Intelligence (AI) software uses techniques like deep lo...
research
∙
05/09/2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
We present TriviaQA, a challenging reading comprehension dataset contain...
research
∙
06/21/2015