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06/16/2023
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values
Although Shapley values have been shown to be highly effective for ident...
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03/28/2023
Pre-training Transformers for Knowledge Graph Completion
Learning transferable representation of knowledge graphs (KGs) is challe...
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02/03/2023
Improving Interpretability via Explicit Word Interaction Graph Layer
Recent NLP literature has seen growing interest in improving model inter...
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12/10/2022
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification
Some recent works observed the instability of post-hoc explanations when...
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11/13/2022
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
Data valuation, or the valuation of individual datum contributions, has ...
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10/20/2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
Traditional (fickle) adversarial examples involve finding a small pertur...
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10/20/2022
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification
Implicit discourse relations bind smaller linguistic units into coherent...
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07/28/2022
Efficient Model Finetuning for Text Classification via Data Filtering
As model finetuning is central to the modern NLP, we set to maximize its...
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05/24/2022
PLAtE: A Large-scale Dataset for List Page Web Extraction
Recently, neural models have been leveraged to significantly improve the...
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05/19/2022
Self-augmented Data Selection for Few-shot Dialogue Generation
The natural language generation (NLG) module in task-oriented dialogue s...
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05/10/2022
White-box Testing of NLP models with Mask Neuron Coverage
Recent literature has seen growing interest in using black-box strategie...
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04/17/2022
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning
Although adapting pre-trained language models with few examples has show...
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04/04/2022
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors
Generating high quality texts with high diversity is important for many ...
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03/23/2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
Neural language models show vulnerability to adversarial examples which ...
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02/14/2022
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows
Despite recent progress in open-domain dialogue evaluation, how to devel...
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01/11/2022
Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs
Estimating the predictive uncertainty of pre-trained language models is ...
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12/15/2021
Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings
Large pre-trained language models are often trained on large volumes of ...
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09/05/2021
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks
Transformer-based pre-trained language models boost the performance of o...
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08/17/2021
Contextualizing Variation in Text Style Transfer Datasets
Text style transfer involves rewriting the content of a source sentence ...
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08/11/2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
Interpretability methods like Integrated Gradient and LIME are popular c...
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04/09/2021
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
Explaining neural network models is important for increasing their trust...
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02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
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11/03/2020
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory
Most NLP datasets are manually labeled, so suffer from inconsistent labe...
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10/01/2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
To build an interpretable neural text classifier, most of the prior work...
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09/30/2020
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
In Text-to-SQL semantic parsing, selecting the correct entities (tables ...
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08/28/2020
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
This paper examines the challenging problem of learning representations ...
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05/25/2020
Pointwise Paraphrase Appraisal is Potentially Problematic
The prevailing approach for training and evaluating paraphrase identific...
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04/25/2020
Reevaluating Adversarial Examples in Natural Language
State-of-the-art attacks on NLP models have different definitions of wha...
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04/04/2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
Generating explanations for neural networks has become crucial for their...
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09/10/2019
Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation
Recent progress of neural network models has achieved remarkable perform...
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08/28/2019
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation
Generating paraphrases from given sentences involves decoding words step...
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08/02/2017
Dynamic Entity Representations in Neural Language Models
Understanding a long document requires tracking how entities are introdu...
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02/07/2017
Neural Discourse Structure for Text Categorization
We show that discourse structure, as defined by Rhetorical Structure The...
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01/15/2017
DyNet: The Dynamic Neural Network Toolkit
We describe DyNet, a toolkit for implementing neural network models base...
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03/31/2016
LSTM based Conversation Models
In this paper, we present a conversational model that incorporates both ...
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03/07/2016
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
This paper presents a novel latent variable recurrent neural network arc...
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11/12/2015
Document Context Language Models
Text documents are structured on multiple levels of detail: individual w...
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09/04/2015
Better Document-level Sentiment Analysis from RST Discourse Parsing
Discourse structure is the hidden link between surface features and docu...
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06/23/2015
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
We introduce Discriminative BLEU (deltaBLEU), a novel metric for intrins...
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06/22/2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
We present a novel response generation system that can be trained end to...
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12/17/2014
Entity-Augmented Distributional Semantics for Discourse Relations
Discourse relations bind smaller linguistic elements into coherent texts...
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11/25/2014