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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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06/01/2023
Preference-grounded Token-level Guidance for Language Model Fine-tuning
Aligning language models (LMs) with preferences is an important problem ...
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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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11/04/2022
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing
The explosion of e-commerce has caused the need for processing and analy...
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04/01/2022
Multifaceted Improvements for Conversational Open-Domain Question Answering
Open-domain question answering (OpenQA) is an important branch of textua...
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10/13/2021
Cross-lingual COVID-19 Fake News Detection
The COVID-19 pandemic poses a great threat to global public health. Mean...
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10/12/2021
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
To capture the semantic graph structure from raw text, most existing sum...
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09/13/2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
In this work, we focus on a more challenging few-shot intent detection s...
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05/03/2021
Pseudo Siamese Network for Few-shot Intent Generation
Few-shot intent detection is a challenging task due to the scare annotat...
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04/25/2021
User Preference-aware Fake News Detection
Disinformation and fake news have posed detrimental effects on individua...
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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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11/02/2020
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
Review rating prediction of text reviews is a rapidly growing technology...
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10/06/2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
Few-shot Intent Detection is challenging due to the scarcity of availabl...
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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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09/21/2020
Composed Variational Natural Language Generation for Few-shot Intents
In this paper, we focus on generating training examples for few-shot int...
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05/23/2020
Joint Training Capsule Network for Cold Start Recommendation
This paper proposes a novel neural network, joint training capsule netwo...
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04/04/2020
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection
In this paper, we formulate a more realistic and difficult problem setup...
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04/02/2020
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing
Named entity typing (NET) is a classification task of assigning an entit...
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01/15/2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations
The dominant graph neural networks (GNNs) over-rely on the graph links, ...
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06/20/2019
Multi-Grained Named Entity Recognition
This paper presents a novel framework, MGNER, for Multi-Grained Named En...
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09/11/2018
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
Meta-graph is currently the most powerful tool for similarity search on ...
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09/02/2018
Zero-shot User Intent Detection via Capsule Neural Networks
User intent detection plays a critical role in question-answering and di...
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11/26/2017