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07/13/2023
Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
We present a novel methodology aimed at optimizing the application of fr...
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06/01/2023
Graph-Level Embedding for Time-Evolving Graphs
Graph representation learning (also known as network embedding) has been...
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05/26/2023
Training Socially Aligned Language Models in Simulated Human Society
Social alignment in AI systems aims to ensure that these models behave a...
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02/13/2023
Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
RNA, whose functionality is largely determined by its structure, plays a...
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02/07/2023
Capturing Topic Framing via Masked Language Modeling
Differential framing of issues can lead to divergent world views on impo...
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01/01/2023
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
We present Second Thought, a new learning paradigm that enables language...
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10/11/2022
Mind's Eye: Grounded Language Model Reasoning through Simulation
Successful and effective communication between humans and AI relies on a...
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10/06/2022
Language Models are Multilingual Chain-of-Thought Reasoners
We evaluate the reasoning abilities of large language models in multilin...
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09/20/2022
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
Semantic representation learning for sentences is an important and well-...
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09/13/2022
Robin: A Novel Online Suicidal Text Corpus of Substantial Breadth and Scale
Suicide is a major public health crisis. With more than 20,000,000 suici...
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05/24/2022
Interpretation Quality Score for Measuring the Quality of interpretability methods
Machine learning (ML) models have been applied to a wide range of natura...
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05/03/2022
Contrastive Learning for Prompt-Based Few-Shot Language Learners
The impressive performance of GPT-3 using natural language prompts and i...
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05/03/2022
Embedding Hallucination for Few-Shot Language Fine-tuning
Few-shot language learners adapt knowledge from a pre-trained model to r...
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04/18/2022
Non-Parallel Text Style Transfer with Self-Parallel Supervision
The performance of existing text style transfer models is severely limit...
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04/06/2022
Knowledge Infused Decoding
Pre-trained language models (LMs) have been shown to memorize a substant...
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03/30/2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
Artificial intelligence, particularly through recent advancements in dee...
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03/28/2022
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English
While cultural backgrounds have been shown to affect linguistic expressi...
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01/24/2022
Emotion-based Modeling of Mental Disorders on Social Media
According to the World Health Organization (WHO), one in four people wil...
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09/14/2021
Embedding Node Structural Role Identity Using Stress Majorization
Nodes in networks may have one or more functions that determine their ro...
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09/14/2021
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization
Recent years have seen a rise in the development of representational lea...
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09/13/2021
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
A key problem in multi-task learning (MTL) research is how to select hig...
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08/19/2021
Language Model Augmented Relevance Score
Although automated metrics are commonly used to evaluate NLG systems, th...
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08/18/2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
This paper studies the relative importance of attention heads in Transfo...
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08/17/2021
Modulating Language Models with Emotions
Generating context-aware language that embodies diverse emotions is an i...
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06/18/2021
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path
Networks found in the real-world are numerous and varied. A common type ...
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04/30/2021
Mitigating Political Bias in Language Models Through Reinforced Calibration
Current large-scale language models can be politically biased as a resul...
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04/19/2021
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
This paper describes a system submitted by team BigGreen to LCP 2021 for...
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04/08/2021
Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic
This paper describes our approach to the Toxic Spans Detection problem (...
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03/12/2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
Few-shot text classification is a fundamental NLP task in which a model ...
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02/11/2021
Feature Selection for Multivariate Time Series via Network Pruning
In recent years, there has been an ever increasing amount of multivariat...
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01/14/2021
Text Augmentation in a Multi-Task View
Traditional data augmentation aims to increase the coverage of the input...
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01/05/2021
Political Depolarization of News Articles Using Attribute-aware Word Embeddings
Political polarization in the US is on the rise. This polarization negat...
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12/26/2020
Social media data reveals signal for public consumer perceptions
Researchers have used social media data to estimate various macroeconomi...
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12/24/2020
Multi-modal Identification of State-Sponsored Propaganda on Social Media
The prevalence of state-sponsored propaganda on the Internet has become ...
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12/07/2020
Improvements and Extensions on Metaphor Detection
Metaphors are ubiquitous in human language. The metaphor detection task ...
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12/07/2020
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT
We describe the systems developed for the WNUT-2020 shared task 2, ident...
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12/07/2020
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
Relation and event extraction is an important task in natural language p...
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12/07/2020
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data
The field of NLP has seen unprecedented achievements in recent years. Mo...
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12/05/2020
Enhanced Offensive Language Detection Through Data Augmentation
Detecting offensive language on social media is an important task. The I...
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12/05/2020
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
Data augmentation is proven to be effective in many NLU tasks, especiall...
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11/03/2020
Embedding Node Structural Role Identity into Hyperbolic Space
Recently, there has been an interest in embedding networks in hyperbolic...
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09/30/2020
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
Authorship identification tasks, which rely heavily on linguistic styles...
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07/14/2020
Emoji Prediction: Extensions and Benchmarking
Emojis are a succinct form of language which can express concrete meanin...
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07/01/2020
Query-Free Adversarial Transfer via Undertrained Surrogates
Deep neural networks have been shown to be highly vulnerable to adversar...
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06/13/2020
Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks
Instagram has become a great venue for amateur and professional photogra...
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05/26/2020
What Are People Asking About COVID-19? A Question Classification Dataset
We present COVID-Q, a set of 1,690 questions about COVID-19 from 13 sour...
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03/05/2018
Me, My Echo Chamber, and I: Introspection on Social Media Polarization
Homophily --- our tendency to surround ourselves with others who share o...
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07/26/2016
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder
We present Tweet2Vec, a novel method for generating general-purpose vect...
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06/17/2016
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs
This paper describes our approach for the Detecting Stance in Tweets tas...
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05/17/2016