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06/09/2023
Can Large Language Models Infer Causation from Correlation?
Causal inference is one of the hallmarks of human intelligence. While th...
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05/19/2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
In this paper, we conduct a thorough investigation into the reasoning ca...
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12/16/2022
ALERT: Adapting Language Models to Reasoning Tasks
Current large language models can perform reasonably well on complex tas...
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10/14/2022
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values
Many NLP classification tasks, such as sexism/racism detection or toxici...
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10/04/2022
Text Characterization Toolkit
In NLP, models are usually evaluated by reporting single-number performa...
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09/30/2022
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification
Language Models pretrained on large textual data have been shown to enco...
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05/25/2022
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection
Hate speech detection is complex; it relies on commonsense reasoning, kn...
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05/25/2022
GisPy: A Tool for Measuring Gist Inference Score in Text
Decision making theories such as Fuzzy-Trace Theory (FTT) suggest that i...
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05/17/2022
Consistent Human Evaluation of Machine Translation across Language Pairs
Obtaining meaningful quality scores for machine translation systems thro...
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05/16/2022
Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification
In this paper, we tackle the Arabic Fine-Grained Hate Speech Detection s...
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05/02/2022
OPT: Open Pre-trained Transformer Language Models
Large language models, which are often trained for hundreds of thousands...
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04/12/2022
A Review on Language Models as Knowledge Bases
Recently, there has been a surge of interest in the NLP community on the...
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02/19/2022
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data
To date, efforts in the code-switching literature have focused for the m...
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01/25/2022
A Quantitative and Qualitative Analysis of Schizophrenia Language
Schizophrenia is one of the most disabling mental health conditions to l...
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12/20/2021
Efficient Large Scale Language Modeling with Mixtures of Experts
Mixture of Experts layers (MoEs) enable efficient scaling of language mo...
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12/20/2021
Few-shot Learning with Multilingual Language Models
Large-scale autoregressive language models such as GPT-3 are few-shot le...
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12/16/2021
Commonsense Knowledge-Augmented Pretrained Language Models for Causal Reasoning Classification
Commonsense knowledge can be leveraged for identifying causal relations ...
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11/26/2021
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs
Do language models have beliefs about the world? Dennett (1995) famously...
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11/11/2021
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
Community Question Answering (CQA) fora such as Stack Overflow and Yahoo...
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06/02/2021
Discrete Cosine Transform as Universal Sentence Encoder
Modern sentence encoders are used to generate dense vector representatio...
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06/01/2021
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation
Is bias amplified when neural machine translation (NMT) models are optim...
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05/31/2021
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
The scarcity of parallel data is a major obstacle for training high-qual...
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04/17/2021
Multi-Perspective Abstractive Answer Summarization
Community Question Answering (CQA) forums such as Stack Overflow and Yah...
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03/25/2021
Predicting Directionality in Causal Relations in Text
In this work, we test the performance of two bidirectional transformer-b...
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11/05/2020
Detecting Hallucinated Content in Conditional Neural Sequence Generation
Neural sequence models can generate highly fluent sentences but recent s...
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06/07/2020
A Multitask Learning Approach for Diacritic Restoration
In many languages like Arabic, diacritics are used to specify pronunciat...
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05/07/2020
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Neural abstractive summarization models are prone to generate content in...
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04/30/2020
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies
We describe a method for developing broad-coverage semantic dependency p...
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04/27/2020
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
The increased focus on misinformation has spurred development of data an...
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04/22/2020
Learning to Classify Intents and Slot Labels Given a Handful of Examples
Intent classification (IC) and slot filling (SF) are core components in ...
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03/19/2020
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections
Summarizing data samples by quantitative measures has a long history, wi...
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12/14/2019
Efficient Convolutional Neural Networks for Diacritic Restoration
Diacritic restoration has gained importance with the growing need for ma...
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12/10/2019
Homograph Disambiguation Through Selective Diacritic Restoration
Lexical ambiguity, a challenging phenomenon in all natural languages, is...
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10/02/2019
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues
The blurry line between nefarious fake news and protected-speech satire ...
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09/28/2019
Overview for the Second Shared Task on Language Identification in Code-Switched Data
We present an overview of the second shared task on language identificat...
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09/28/2019
Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data
We present our effort to create a large Multi-Layered representational r...
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09/28/2019
WASA: A Web Application for Sequence Annotation
Data annotation is an important and necessary task for all NLP applicati...
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09/28/2019
Part of speech tagging for code switched data
We address the problem of Part of Speech tagging (POS) in the context of...
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09/18/2019
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots
Natural Language Understanding (NLU) is a core component of dialog syste...
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09/06/2019
Efficient Sentence Embedding using Discrete Cosine Transform
Vector averaging remains one of the most popular sentence embedding meth...
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06/10/2019
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task
In the third shared task of the Computational Approaches to Linguistic C...
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05/31/2019
Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data
Linguistic Code Switching (CS) is a phenomenon that occurs when multilin...
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05/23/2019
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus
In this paper we present an emotion classifier model submitted to the Se...
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04/11/2019
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings
We develop and investigate several cross-lingual alignment approaches fo...
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04/05/2019
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles
We describe a transfer method based on annotation projection to develop ...
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03/08/2019
Context-Aware Cross-Lingual Mapping
Cross-lingual word vectors are typically obtained by fitting an orthogon...
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03/08/2019
Context-Aware Crosslingual Mapping
Cross-lingual word vectors are typically obtained by fitting an orthogon...
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02/24/2019
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
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10/22/2018
Predictive Linguistic Features of Schizophrenia
Schizophrenia is one of the most disabling and difficult to treat of all...
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06/12/2018