2021-11
The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution
Post-Editing Extractive Summaries by Definiteness Prediction.
Textual Time Travel: A Temporally Informed Approach to Theory of Mind.
2021-08
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization.
ADEPT: An Adjective-Dependent Plausibility Task
On-the-Fly Attention Modulation for Neural Generation
Optimizing Deeper Transformers on Small Datasets
2021-07
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
2021-04
Modeling Event Plausibility with Consistent Conceptual Abstraction.
Characterizing Idioms: Conventionality and Contingency.
The Topic Confusion Task: A Novel Scenario for Authorship Attribution.
Discourse-Aware Unsupervised Summarization for Long Scientific Documents.
2021-02
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems.
2021-01
On-the-Fly Attention Modularization for Neural Generation
2020-12
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing.
Optimizing Deeper Transformers on Small Datasets
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
An Analysis of Dataset Overlap on Winograd-Style Tasks
2020-11
SYSTEM AND METHOD FOR CONTROLLABLE MACHINE TEXT GENERATION ARCHITECTURE
SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE WITH VARIATIONAL AUTOENCODER POOLING
An Analysis of Dataset Overlap on Winograd-Style Tasks.
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization
Deconstructing word embedding algorithms
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Factual Error Correction for Abstractive Summarization Models.
2020-10
Multi-Fact Correction in Abstractive Text Summarization
2020-07
On Variational Learning of Controllable Representations for Text without Supervision
2020-06
Learning Lexical Subspaces in a Distributional Vector Space
2020-05
Discourse-Aware Unsupervised Summarization of Long Scientific Documents
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization
2020-04
SYSTEM AND METHOD FOR CROSS-DOMAIN TRANSFERABLE NEURAL COHERENCE MODEL
2020-01
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.
2019-11
Deconstructing and reconstructing word embedding algorithms
On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
Preventing Posterior Collapse in Sequence VAEs with Pooling
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing
(2019-11-01)
www.aclweb.org[LATEST on arXiv: Computation and Language (2019-11-13)]Referring Expression Generation Using Entity Profiles
2019-09
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses.
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
2019-07
Generating Character Descriptions for Automatic Summarization of Fiction.
Learning Multi-Task Communication with Message Passing for Sequence Learning
Contextualized Non-Local Neural Networks for Sequence Learning
A Cross-Domain Transferable Neural Coherence Model
2019-06
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
2019-05
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement.
2019-01
What comes next? Extractive summarization by next-sentence prediction.
2018-12
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
Critiquing and Correcting Trends in Machine Learning NeurIPS 2018 Workshop
(2018-12-07)
2018-11
Multi-task Learning over Graph Structures.
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding.
2018-10
A Knowledge Hunting Framework for Common Sense Reasoning
2018-07
Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
2018-06
Coarse Lexical Frame Acquisition at the Syntax–Semantics Interface Using a Latent-Variable PCFG Model
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization.
Commonsense mining as knowledge base completion? A study on the impact of novelty
Proceedings of the Workshop on Generalization in the Age of Deep Learning
(2018-06-01)
www.aclweb.org[Also on arXiv preprint arXiv:1804.09259 (2018-04-24)]2018-05
Constructing a Lexicon of Relational Nouns
2018-01
A Hierarchical Neural Attention-based Text Classifier
BanditSum: Extractive Summarization as a Contextual Bandit
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