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05/14/2023
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering
Existing knowledge-enhanced methods have achieved remarkable results in ...
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12/09/2022
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader
We present Pre-trained Machine Reader (PMR), a novel method to retrofit ...
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11/25/2022
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
Neural machine translation (NMT) is often criticized for failures that h...
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11/18/2022
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach
Relation extraction has the potential for large-scale knowledge graph co...
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11/17/2022
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Cross-lingual named entity recognition (NER) suffers from data scarcity ...
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11/16/2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
Due to the huge amount of parameters, fine-tuning of pretrained language...
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11/10/2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Out-of-Domain (OOD) intent detection is important for practical dialog s...
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10/26/2022
SentBS: Sentence-level Beam Search for Controllable Summarization
A wide range of control perspectives have been explored in controllable ...
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10/23/2022
Towards Generalizable and Robust Text-to-SQL Parsing
Text-to-SQL parsing tackles the problem of mapping natural language ques...
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10/21/2022
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
In this paper, we propose a novel SQL guided pre-training framework STAR...
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10/20/2022
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
This paper introduces Doc2Bot, a novel dataset for building machines tha...
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09/14/2022
SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation
Recently, pre-training methods have shown remarkable success in task-ori...
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09/14/2022
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding
Pre-training methods with contrastive learning objectives have shown rem...
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09/14/2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
This paper aims to improve the performance of text-to-SQL parsing by exp...
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08/31/2022
Lifelong Learning for Question Answering with Hierarchical Prompts
QA models with lifelong learning (LL) abilities are important for practi...
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08/29/2022
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions
Text-to-SQL parsing is an essential and challenging task. The goal of te...
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06/28/2022
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
The importance of building text-to-SQL parsers which can be applied to n...
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06/27/2022
Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding
Multi-modal document pre-trained models have proven to be very effective...
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05/30/2022
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems
In this paper, we present Duplex Conversation, a multi-turn, multimodal ...
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05/29/2022
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Prompt learning approaches have made waves in natural language processin...
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05/24/2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Large-scale pretrained foundation models have been an emerging paradigm ...
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05/07/2022
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
Multimodal named entity recognition and relation extraction (MNER and MR...
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05/04/2022
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Multimodal Knowledge Graphs (MKGs), which organize visual-text factual k...
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05/04/2022
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
Pre-trained language models have contributed significantly to relation e...
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03/23/2022
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
Traditionally, a debate usually requires a manual preparation process, i...
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03/17/2022
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
Despite the importance of relation extraction in building and representi...
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11/29/2021
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Pre-trained models have proved to be powerful in enhancing task-oriented...
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11/22/2021
Knowledge Based Multilingual Language Model
Knowledge enriched language representation learning has shown promising ...
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11/17/2021
Achieving Human Parity on Visual Question Answering
The Visual Question Answering (VQA) task utilizes both visual image and ...
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10/14/2021
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems
Much recent progress in task-oriented dialogue (ToD) systems has been dr...
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10/14/2021
MReD: A Meta-Review Dataset for Controllable Text Generation
When directly using existing text generation datasets for controllable g...
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08/31/2021
LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER
Most existing NER methods rely on extensive labeled data for model train...
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08/31/2021
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER
Data augmentation for cross-lingual NER requires fine-grained control ov...
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06/15/2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Artificial Intelligence (AI), along with the recent progress in biomedic...
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06/07/2021
Document-level Relation Extraction as Semantic Segmentation
Document-level relation extraction aims to extract relations among multi...
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06/06/2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
Adapter-based tuning has recently arisen as an alternative to fine-tunin...
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06/01/2021
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking
Existing dialog state tracking (DST) models are trained with dialog data...
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05/24/2021
StructuralLM: Structural Pre-training for Form Understanding
Large pre-trained language models achieve state-of-the-art results when ...
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04/29/2021
Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy
Ubiquitous internet access is reshaping the way we live, but it is accom...
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04/15/2021
AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction
In this paper, we reformulate the relation extraction task as mask langu...
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03/11/2021
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
Cross-lingual word embeddings (CLWE) have been proven useful in many cro...
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01/05/2021
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
Semantic parsing has long been a fundamental problem in natural language...
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11/03/2020
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
Data augmentation techniques have been widely used to improve machine le...
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10/30/2020
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation
Recent studies about learning multilingual representations have achieved...
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04/30/2020
Knowledge Graph Empowered Entity Description Generation
Existing works on KG-to-text generation take as input a few RDF triples ...
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02/08/2020
Romance in China: Mining and Visualizing 10 Million Alibaba Valentine Purchases
Valentine Day February 14, is the day of love. The days ahead of Valenti...
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12/12/2019
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs
Graph Convolutional Networks (GCNs) have gained significant developments...
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11/17/2019
Rumor Detection on Social Media: Datasets, Methods and Opportunities
Social media platforms have been used for information and news gathering...
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11/05/2019
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
Target-based sentiment analysis or aspect-based sentiment analysis (ABSA...
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11/05/2019
