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05/10/2023
Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages
We present Vārta, a large-scale multilingual dataset for headline genera...
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03/16/2023
Investigating Failures to Generalize for Coreference Resolution Models
Coreference resolution models are often evaluated on multiple datasets. ...
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02/27/2023
Systematic Rectification of Language Models via Dead-end Analysis
With adversarial or otherwise normal prompts, existing large language mo...
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02/16/2023
Learning with Rejection for Abstractive Text Summarization
State-of-the-art abstractive summarization systems frequently hallucinat...
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12/15/2022
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems
Many state-of-the-art natural language understanding (NLU) models are ba...
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05/24/2022
MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification
In text summarization and simplification, system outputs must be evaluat...
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04/03/2022
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
Current language generation models suffer from issues such as repetition...
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12/16/2021
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge
Transformer models pre-trained with a masked-language-modeling objective...
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04/20/2021
Modeling Event Plausibility with Consistent Conceptual Abstraction
Understanding natural language requires common sense, one aspect of whic...
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04/17/2021
Characterizing Idioms: Conventionality and Contingency
Idioms are unlike other phrases in two important ways. First, the words ...
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04/17/2021
The Topic Confusion Task: A Novel Scenario for Authorship Attribution
Authorship attribution is the problem of identifying the most plausible ...
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04/17/2021
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
Reasoning in a temporal knowledge graph (TKG) is a critical task for inf...
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01/02/2021
On-the-Fly Attention Modularization for Neural Generation
Despite considerable advancements with deep neural language models (LMs)...
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12/30/2020
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing
Due to the common belief that training deep transformers from scratch re...
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11/12/2020
Deconstructing word embedding algorithms
Word embeddings are reliable feature representations of words used to ob...
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11/09/2020
An Analysis of Dataset Overlap on Winograd-Style Tasks
The Winograd Schema Challenge (WSC) and variants inspired by it have bec...
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11/05/2020
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
Word embeddings are trained to predict word cooccurrence statistics, whi...
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10/17/2020
Factual Error Correction for Abstractive Summarization Models
Neural abstractive summarization systems have achieved promising progres...
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10/07/2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Inferring missing facts in temporal knowledge graphs (TKGs) is a fundame...
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10/06/2020
Multi-Fact Correction in Abstractive Text Summarization
Pre-trained neural abstractive summarization systems have dominated extr...
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11/29/2019
Deconstructing and reconstructing word embedding algorithms
Uncontextualized word embeddings are reliable feature representations of...
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11/13/2019
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Modeling semantic plausibility requires commonsense knowledge about the ...
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11/10/2019
Preventing Posterior Collapse in Sequence VAEs with Pooling
Variational Autoencoders (VAEs) hold great potential for modelling text,...
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09/08/2019
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Sentence position is a strong feature for news summarization, since the ...
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09/04/2019
Referring Expression Generation Using Entity Profiles
Referring Expression Generation (REG) is the task of generating contextu...
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06/19/2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
We present the first sentence simplification model that learns explicit ...
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05/28/2019
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement
Existing controllable text generation systems rely on annotated attribut...
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05/28/2019
A Cross-Domain Transferable Neural Coherence Model
Coherence is an important aspect of text quality and is crucial for ensu...
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12/18/2018
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
The standard loss function used to train neural network classifiers, cat...
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11/26/2018
Multi-task Learning over Graph Structures
We present two architectures for multi-task learning with neural sequenc...
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11/21/2018
Contextualized Non-local Neural Networks for Sequence Learning
Recently, a large number of neural mechanisms and models have been propo...
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11/05/2018
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
The NLP and ML communities have long been interested in developing model...
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11/02/2018
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
We introduce a new benchmark task for coreference resolution, Hard-CoRe,...
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10/02/2018
A Knowledge Hunting Framework for Common Sense Reasoning
We introduce an automatic system that achieves state-of-the-art results ...
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09/25/2018
BanditSum: Extractive Summarization as a Contextual Bandit
In this work, we propose a novel method for training neural networks to ...
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06/11/2018
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers
We introduce the task of predicting adverbial presupposition triggers su...
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05/28/2018
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization
We present an approach to event coreference resolution by developing a g...
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04/24/2018
Commonsense mining as knowledge base completion? A study on the impact of novelty
Commonsense knowledge bases such as ConceptNet represent knowledge in th...
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05/18/2016