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09/01/2023
When Do Discourse Markers Affect Computational Sentence Understanding?
The capabilities and use cases of automatic natural language processing ...
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05/05/2023
MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic
Theory of Mind (ToM) is a critical component of intelligence, yet accura...
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03/13/2023
Generating multiple-choice questions for medical question answering with distractors and cue-masking
Medical multiple-choice question answering (MCQA) is particularly diffic...
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01/14/2023
: Structured Dataset Preprocessing Annotations for Frictionless Extreme Multi-Task Learning and Evaluation
The HuggingFace Datasets Hub hosts thousands of datasets. This provides ...
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11/07/2022
Probing neural language models for understanding of words of estimative probability
Words of estimative probability (WEP) are expressions of a statement's p...
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12/10/2021
Analysis and Prediction of NLP Models Via Task Embeddings
Task embeddings are low-dimensional representations that are trained to ...
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12/08/2021
Zero-Shot Recommendation as Language Modeling
Recommendation is the task of ranking items (e.g. movies or products) ac...
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05/31/2021
LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features
We describe our approach for SemEval-2021 task 6 on detection of persuas...
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03/25/2021
Visual Grounding Strategies for Text-Only Natural Language Processing
Visual grounding is a promising path toward more robust and accurate Nat...
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06/02/2020
DiscSense: Automated Semantic Analysis of Discourse Markers
Discourse markers ( by contrast, happily, etc.) are words or phrases th...
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07/19/2019
Discourse-Based Evaluation of Language Understanding
We introduce DiscEval, a compilation of 11 evaluation datasets with a fo...
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04/04/2019
Composition of Sentence Embeddings:Lessons from Statistical Relational Learning
Various NLP problems -- such as the prediction of sentence similarity, e...
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03/28/2019
Mining Discourse Markers for Unsupervised Sentence Representation Learning
Current state of the art systems in NLP heavily rely on manually annotat...
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09/14/2017