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06/21/2023
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews
Revising scientific papers based on peer feedback is a challenging task ...
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04/30/2023
S2abEL: A Dataset for Entity Linking from Scientific Tables
Entity linking (EL) is the task of linking a textual mention to its corr...
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04/05/2023
Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks
Large language models have introduced exciting new opportunities and cha...
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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...
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02/13/2023
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections
Scholars who want to research a scientific topic must take time to read,...
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01/24/2023
The Semantic Scholar Open Data Platform
The volume of scientific output is creating an urgent need for automated...
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11/23/2022
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations
Learned representations of scientific documents can serve as valuable in...
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10/23/2022
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models
How to usefully encode compositional task structure has long been a core...
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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...
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07/11/2022
Embedding Recycling for Language Models
Training and inference with large neural models is expensive. However, f...
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06/22/2022
Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities
With the advent of large language models, methods for abstractive summar...
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05/16/2022
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
Knowledge graph (KG) link prediction is a fundamental task in artificial...
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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 ...
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05/04/2022
A Computational Inflection for Scientific Discovery
We stand at the foot of a significant inflection in the trajectory of sc...
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04/22/2022
S2AMP: A High-Coverage Dataset of Scholarly Mentorship Inferred from Publications
Mentorship is a critical component of academia, but is not as visible as...
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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 ...
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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...
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11/16/2021
Few-Shot Self-Rationalization with Natural Language Prompts
Self-rationalization models that predict task labels and generate free-t...
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09/27/2021
Exploring The Role of Local and Global Explanations in Recommender Systems
Explanations are well-known to improve recommender systems' transparency...
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09/15/2021
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems
Conversations aimed at determining good recommendations are iterative in...
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06/01/2021
Incorporating Visual Layout Structures for Scientific Text Classification
Classifying the core textual components of a scientific paper-title, aut...
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04/18/2021
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
Determining coreference of concept mentions across multiple documents is...
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03/12/2021
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation
Author Name Disambiguation (AND) is the task of resolving which author 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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11/02/2020
ABNIRML: Analyzing the Behavior of Neural IR Models
Numerous studies have demonstrated the effectiveness of pretrained conte...
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06/11/2020
High-Precision Extraction of Emerging Concepts from Scientific Literature
Identification of new concepts in scientific literature can help power f...
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05/05/2020
Stolen Probability: A Structural Weakness of Neural Language Models
Neural Network Language Models (NNLMs) generate probability distribution...
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04/24/2020
G-DAUG: Generative Data Augmentation for Commonsense Reasoning
Recent advances in commonsense reasoning depend on large-scale human-ann...
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04/23/2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Language models pretrained on text from a wide variety of sources form t...
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04/15/2020
SPECTER: Document-level Representation Learning using Citation-informed Transformers
Representation learning is a critical ingredient for natural language pr...
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04/15/2020
Document-level Representation Learning using Citation-informed Transformers
Representation learning is a critical ingredient for natural language pr...
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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...
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12/11/2019
Just Add Functions: A Neural-Symbolic Language Model
Neural network language models (NNLMs) have achieved ever-improving accu...
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09/19/2019
Multi-sense Definition Modeling using Word Sense Decompositions
Word embeddings capture syntactic and semantic information about words. ...
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08/15/2019
Abductive Commonsense Reasoning
Abductive reasoning is inference to the most plausible explanation. For ...
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04/08/2019
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense
Commonsense reasoning is a critical AI capability, but it is difficult t...
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04/08/2019
AQuA: An Adversarially Authored Question-Answer Dataset for Common Sense
Commonsense reasoning is a critical AI capability, but it is difficult t...
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01/28/2019
A new evaluation framework for topic modeling algorithms based on synthetic corpora
Topic models are in widespread use in natural language processing and be...
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05/06/2018
Construction of the Literature Graph in Semantic Scholar
We describe a deployed scalable system for organizing published scientif...
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12/01/2016
