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09/17/2023
OWL: A Large Language Model for IT Operations
With the rapid development of IT operations, it has become increasingly ...
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09/15/2023
Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation
Incorporating external knowledge into dialogue generation (KIDG) is cruc...
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08/17/2023
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning
Cross-lingual named entity recognition (CrossNER) faces challenges stemm...
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08/12/2023
MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction
Cross-lingual open information extraction aims to extract structured inf...
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07/31/2023
Delving into Commit-Issue Correlation to Enhance Commit Message Generation Models
Commit message generation (CMG) is a challenging task in automated softw...
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06/27/2023
KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation
Existing knowledge-grounded conversation systems generate responses typi...
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05/29/2023
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking
Retrieval-enhanced text generation, which aims to leverage passages retr...
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05/11/2023
QURG: Question Rewriting Guided Context-Dependent Text-to-SQL Semantic Parsing
Context-dependent Text-to-SQL aims to translate multi-turn natural langu...
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04/26/2023
Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System
Large-scale Language Models (LLMs) are constrained by their inability to...
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04/14/2023
API-Bank: A Benchmark for Tool-Augmented LLMs
Recent research has shown that Large Language Models (LLMs) can utilize ...
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03/23/2023
Retrieval-Augmented Classification with Decoupled Representation
Pretrained language models (PLMs) have shown marvelous improvements acro...
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03/20/2023
Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models
Pretrained language models (PLMs) have shown marvelous improvements acro...
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03/20/2023
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition
Named entity recognition (NER) is an important research problem in natur...
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01/29/2023
Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality
Dialogue summarization aims to condense a given dialogue into a simple a...
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01/17/2023
HanoiT: Enhancing Context-aware Translation via Selective Context
Context-aware neural machine translation aims to use the document-level ...
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01/11/2023
Multilingual Entity and Relation Extraction from Unified to Language-specific Training
Entity and relation extraction is a key task in information extraction, ...
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12/20/2022
GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator
Pre-trained models have achieved remarkable success in natural language ...
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12/20/2022
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
The robustness of Text-to-SQL parsers against adversarial perturbations ...
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12/17/2022
Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL
The task of text-to-SQL is to convert a natural language question to its...
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10/22/2022
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
A wide range of NLP tasks benefit from the fine-tuning of pretrained lan...
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10/13/2022
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation
Named entity recognition (NER) suffers from the scarcity of annotated tr...
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08/24/2022
Modeling Paragraph-Level Vision-Language Semantic Alignment for Multi-Modal Summarization
Most current multi-modal summarization methods follow a cascaded manner,...
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08/17/2022
An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework based on Semantic Blocks
Unsupervised summarization methods have achieved remarkable results by i...
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07/29/2022
GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation
Transformer structure, stacked by a sequence of encoder and decoder netw...
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07/11/2022
HLT-MT: High-resource Language-specific Training for Multilingual Neural Machine Translation
Multilingual neural machine translation (MNMT) trained in multiple langu...
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07/11/2022
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation
Most translation tasks among languages belong to the zero-resource trans...
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05/16/2022
CQR-SQL: Conversational Question Reformulation Enhanced Context-Dependent Text-to-SQL Parsers
Context-dependent text-to-SQL is the task of translating multi-turn ques...
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04/09/2022
TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization
Although pre-trained language models (PLMs) have achieved great success ...
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04/09/2022
Modeling Multi-Granularity Hierarchical Features for Relation Extraction
Relation extraction is a key task in Natural Language Processing (NLP), ...
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03/30/2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
The recently proposed Graph Convolutional Networks (GCNs) have achieved ...
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12/31/2021
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection
Log anomaly detection is a key component in the field of artificial inte...
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09/21/2021
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
Text recognition is a long-standing research problem for document digita...
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09/15/2021
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
Embedding based methods are widely used for unsupervised keyphrase extra...
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09/05/2021
Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis
Deep person generation has attracted extensive research attention due to...
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05/09/2021
Non-Recursive Graph Convolutional Networks
Graph Convolutional Networks (GCNs) are powerful models for node represe...
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10/06/2020
StyleDGPT: Stylized Response Generation with Pre-trained Language Models
Generating responses following a desired style has great potentials to e...
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06/01/2020
DocBank: A Benchmark Dataset for Document Layout Analysis
Document layout analysis usually relies on computer vision models to und...
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04/04/2020
Open Domain Dialogue Generation with Latent Images
We consider grounding open domain dialogues with images. Existing work a...
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09/26/2019
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
Automatic news comment generation is beneficial for real applications bu...
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09/26/2019
Low-Resource Response Generation with Template Prior
We study open domain response generation with limited message-response p...
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07/10/2019
Label Aware Graph Convolutional Network -- Not All Edges Deserve Your Attention
Graph classification is practically important in many domains. To solve ...
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03/07/2019
Multi-Hot Compact Network Embedding
Network embedding, as a promising way of the network representation lear...
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03/05/2019
TableBank: Table Benchmark for Image-based Table Detection and Recognition
We present TableBank, a new image-based table detection and recognition ...
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08/22/2018
Keyphrase Generation with Correlation Constraints
In this paper, we study automatic keyphrase generation. Although convent...
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06/19/2018
Response Generation by Context-aware Prototype Editing
Open domain response generation has achieved remarkable progress in rece...
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06/03/2018
TI-CNN: Convolutional Neural Networks for Fake News Detection
With the development of social networks, fake news for various commercia...
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05/28/2018
r-instance Learning for Missing People Tweets Identification
The number of missing people (i.e., people who get lost) greatly increas...
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05/27/2018
Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach
Human trafficking is a serious social problem, and it is challenging mai...
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05/07/2018
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
We propose a method that can leverage unlabeled data to learn a matching...
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01/29/2018