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05/24/2023
COMET-M: Reasoning about Multiple Events in Complex Sentences
Understanding the speaker's intended meaning often involves drawing comm...
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05/17/2023
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?
Noun compound interpretation is the task of expressing a noun compound (...
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02/20/2023
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution
Event coreference models cluster event mentions pertaining to the same r...
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10/24/2022
VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge
There has been a growing interest in solving Visual Question Answering (...
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09/14/2021
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference
Pre-trained language models learn socially harmful biases from their tra...
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08/31/2021
It's not Rocket Science : Interpreting Figurative Language in Narratives
Figurative language is ubiquitous in English. Yet, the vast majority of ...
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12/14/2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
The black-box nature of neural models has motivated a line of research t...
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11/01/2020
Social Chemistry 101: Learning to Reason about Social and Moral Norms
Social norms—the unspoken commonsense rules about acceptable social beha...
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10/12/2020
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
Abductive and counterfactual reasoning, core abilities of everyday human...
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10/04/2020
Paragraph-Level Commonsense Transformers with Recurrent Memory
Human understanding of narrative texts requires making commonsense infer...
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04/30/2020
Paraphrasing vs Coreferring: Two Sides of the Same Coin
We study the potential synergy between two different NLP tasks, both con...
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04/11/2020
Unsupervised Commonsense Question Answering with Self-Talk
Natural language understanding involves reading between the lines with i...
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04/06/2020
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models
Pre-trained language models (LMs) may perpetuate biases originating in t...
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10/21/2019
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets
Phenomenon-specific "adversarial" datasets have been recently designed t...
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06/11/2019
A Systematic Comparison of English Noun Compound Representations
Building meaningful representations of noun compounds is not trivial sin...
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06/04/2019
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
Recognizing coreferring events and entities across multiple texts is cru...
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02/27/2019
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition
Building meaningful phrase representations is challenging because phrase...
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10/30/2018
Evaluating Text GANs as Language Models
Generative Adversarial Networks (GANs) are a promising approach for text...
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05/07/2018
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations
Revealing the implicit semantic relation between the constituents of a n...
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05/06/2018
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
We create a new NLI test set that shows the deficiency of state-of-the-a...
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04/24/2018
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment
Supervised distributional methods are applied successfully in lexical en...
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03/21/2018
Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds using Paraphrases in a Neural Model
Automatic interpretation of the relation between the constituents of a n...
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12/14/2016
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection
The fundamental role of hypernymy in NLP has motivated the development o...
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10/27/2016
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations
We present a submission to the CogALex 2016 shared task on the corpus-ba...
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08/17/2016
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations
Recognizing various semantic relations between terms is beneficial for m...
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03/19/2016