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09/07/2023
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
In intent detection tasks, leveraging meaningful semantic information fr...
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08/04/2023
Forget Demonstrations, Focus on Learning from Textual Instructions
This work studies a challenging yet more realistic setting for zero-shot...
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03/18/2023
Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning
Task semantics can be expressed by a set of input-to-output examples or ...
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12/07/2022
Robustness of Learning from Task Instructions
Traditional supervised learning mostly works on individual tasks and req...
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12/01/2022
Learning to Select from Multiple Options
Many NLP tasks can be regarded as a selection problem from a set of opti...
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10/25/2022
OpenStance: Real-world Zero-shot Stance Detection
Prior studies of zero-shot stance detection identify the attitude of tex...
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07/24/2022
Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System
A dialogue policy module is an essential part of task-completion dialogu...
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03/16/2022
ConTinTin: Continual Learning from Task Instructions
The mainstream machine learning paradigms for NLP often work with two un...
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02/12/2022
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference
The task of ultra-fine entity typing (UFET) seeks to predict diverse and...
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12/15/2021
Event Linking: Grounding Event Mentions to Wikipedia
Comprehending an article requires understanding its constituent events. ...
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11/20/2021
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution
The distribution gap between training datasets and data encountered in p...
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06/17/2021
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference
Natural language inference (NLI) is formulated as a unified framework fo...
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04/24/2021
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Text classification is usually studied by labeling natural language text...
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04/12/2021
Learning to Synthesize Data for Semantic Parsing
Synthesizing data for semantic parsing has gained increasing attention r...
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10/24/2020
Paired Representation Learning for Event and Entity Coreference
Co-reference of Events and of Entities are commonly formulated as binary...
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10/06/2020
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
A standard way to address different NLP problems is by first constructin...
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10/05/2020
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
Mixup is the latest data augmentation technique that linearly interpolat...
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07/19/2020
Meta-learning for Few-shot Natural Language Processing: A Survey
Few-shot natural language processing (NLP) refers to NLP tasks that are ...
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06/17/2020
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
The COVID-19 global pandemic has resulted in international efforts to un...
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02/27/2020
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
There is an increasing amount of literature that claims the brittleness ...
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08/31/2019
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Zero-shot text classification (0Shot-TC) is a challenging NLU problem to...
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08/16/2019
An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Multi-Task Learning (MTL) aims at boosting the overall performance of ea...
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06/08/2019
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
One key consequence of the information revolution is a significant incre...
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08/10/2018
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
Determining whether a given claim is supported by evidence is a fundamen...
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06/12/2018
Term Definitions Help Hypernymy Detection
Existing methods of hypernymy detection mainly rely on statistics over a...
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06/12/2018
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Large scale knowledge graphs (KGs) such as Freebase are generally incomp...
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04/24/2018
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
This work deals with SciTail, a natural entailment challenge derived fro...
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04/24/2018
End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions
This work deals with SciTail, a natural entailment problem derived from ...
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10/02/2017
Attentive Convolution
In NLP, convolution neural networks (CNNs) have benefited less than recu...
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04/20/2017
Improved Neural Relation Detection for Knowledge Base Question Answering
Relation detection is a core component for many NLP applications includi...
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02/07/2017
Comparative Study of CNN and RNN for Natural Language Processing
Deep neural networks (DNN) have revolutionized the field of natural lang...
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01/09/2017
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
This work studies comparatively two typical sentence matching tasks: tex...
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06/10/2016
Simple Question Answering by Attentive Convolutional Neural Network
This work focuses on answering single-relation factoid questions over Fr...
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04/23/2016
Why and How to Pay Different Attention to Phrase Alignments of Different Intensities
This work studies comparatively two typical sentence pair classification...
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04/02/2016
Discriminative Phrase Embedding for Paraphrase Identification
This work, concerning paraphrase identification task, on one hand contri...
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04/02/2016
Online Updating of Word Representations for Part-of-Speech Tagging
We propose online unsupervised domain adaptation (DA), which is performe...
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03/15/2016
Multichannel Variable-Size Convolution for Sentence Classification
We propose MVCNN, a convolution neural network (CNN) architecture for se...
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02/13/2016
Attention-Based Convolutional Neural Network for Machine Comprehension
Understanding open-domain text is one of the primary challenges in natur...
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12/16/2015
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
How to model a pair of sentences is a critical issue in many NLP tasks s...
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08/18/2015
