b'Zhoujun Li'

research

∙ 09/17/2023

OWL: A Large Language Model for IT Operations

With the rapid development of IT operations, it has become increasingly ...

0 Hongcheng Guo, et al. ∙

research

∙ 09/15/2023

Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation

Incorporating external knowledge into dialogue generation (KIDG) is cruc...

0 Xianjie Wu, et al. ∙

research

∙ 08/17/2023

mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning

Cross-lingual named entity recognition (CrossNER) faces challenges stemm...

0 Ying Mo, et al. ∙

research

∙ 08/12/2023

MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction

Cross-lingual open information extraction aims to extract structured inf...

0 Zixiang Wang, et al. ∙

research

∙ 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...

0 Liran Wang, et al. ∙

research

∙ 06/27/2023

KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation

Existing knowledge-grounded conversation systems generate responses typi...

0 Jiaqi Bai, et al. ∙

research

∙ 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...

0 Jiaqi Bai, et al. ∙

research

∙ 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...

0 Linzheng Chai, et al. ∙

research

∙ 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...

0 Xinnian Liang, et al. ∙

research

∙ 04/14/2023

API-Bank: A Benchmark for Tool-Augmented LLMs

Recent research has shown that Large Language Models (LLMs) can utilize ...

0 Minghao Li, et al. ∙

research

∙ 03/23/2023

Retrieval-Augmented Classification with Decoupled Representation

Pretrained language models (PLMs) have shown marvelous improvements acro...

0 Xinnian Liang, et al. ∙

research

∙ 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...

0 Xinnian Liang, et al. ∙

research

∙ 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...

0 Ying Mo, et al. ∙

research

∙ 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...

0 Xinnian Liang, et al. ∙

research

∙ 01/17/2023

HanoiT: Enhancing Context-aware Translation via Selective Context

Context-aware neural machine translation aims to use the document-level ...

0 Jian Yang, et al. ∙

research

∙ 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, ...

0 Zixiang Wang, et al. ∙

research

∙ 12/20/2022

GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator

Pre-trained models have achieved remarkable success in natural language ...

0 Jian Yang, et al. ∙

research

∙ 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 ...

0 Xinyu Pi, et al. ∙

research

∙ 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...

0 Bing Wang, et al. ∙

research

∙ 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...

0 Yupeng Zhang, et al. ∙

research

∙ 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...

0 Jian Yang, et al. ∙

research

∙ 08/24/2022

Modeling Paragraph-Level Vision-Language Semantic Alignment for Multi-Modal Summarization

Most current multi-modal summarization methods follow a cascaded manner,...

0 Xinnian Liang, et al. ∙

research

∙ 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...

0 Xinnian Liang, et al. ∙

research

∙ 07/29/2022

GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation

Transformer structure, stacked by a sequence of encoder and decoder netw...

0 Jian Yang, et al. ∙

research

∙ 07/11/2022

HLT-MT: High-resource Language-specific Training for Multilingual Neural Machine Translation

Multilingual neural machine translation (MNMT) trained in multiple langu...

0 Jian Yang, et al. ∙

research

∙ 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...

0 Jian Yang, et al. ∙

research

∙ 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...

0 Dongling Xiao, et al. ∙

research

∙ 04/09/2022

TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization

Although pre-trained language models (PLMs) have achieved great success ...

0 Liran Wang, et al. ∙

research

∙ 04/09/2022

Modeling Multi-Granularity Hierarchical Features for Relation Extraction

Relation extraction is a key task in Natural Language Processing (NLP), ...

0 Xinnian Liang, et al. ∙

research

∙ 03/30/2022

Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation

The recently proposed Graph Convolutional Networks (GCNs) have achieved ...

0 Hao Chen, et al. ∙

research

∙ 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...

0 Hongcheng Guo, et al. ∙

research

∙ 09/21/2021

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

Text recognition is a long-standing research problem for document digita...

0 Minghao Li, et al. ∙

research

∙ 09/15/2021

Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context

Embedding based methods are widely used for unsupervised keyphrase extra...

0 Xinnian Liang, et al. ∙

research

∙ 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...

3 Tong Sha, et al. ∙

research

∙ 05/09/2021

Non-Recursive Graph Convolutional Networks

Graph Convolutional Networks (GCNs) are powerful models for node represe...

0 Hao Chen, et al. ∙

research

∙ 10/06/2020

StyleDGPT: Stylized Response Generation with Pre-trained Language Models

Generating responses following a desired style has great potentials to e...

0 Wei Wu, et al. ∙

research

∙ 06/01/2020

DocBank: A Benchmark Dataset for Document Layout Analysis

Document layout analysis usually relies on computer vision models to und...

0 Minghao Li, et al. ∙

research

∙ 04/04/2020

Open Domain Dialogue Generation with Latent Images

We consider grounding open domain dialogues with images. Existing work a...

7 Wei Wu, et al. ∙

research

∙ 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...

0 Can Xu, et al. ∙

research

∙ 09/26/2019

Low-Resource Response Generation with Template Prior

We study open domain response generation with limited message-response p...

0 Wei Wu, et al. ∙

research

∙ 07/10/2019

Label Aware Graph Convolutional Network -- Not All Edges Deserve Your Attention

Graph classification is practically important in many domains. To solve ...

8 Hao Chen, et al. ∙

research

∙ 03/07/2019

Multi-Hot Compact Network Embedding

Network embedding, as a promising way of the network representation lear...

0 Chaozhuo Li, et al. ∙

research

∙ 03/05/2019

TableBank: Table Benchmark for Image-based Table Detection and Recognition

We present TableBank, a new image-based table detection and recognition ...

0 Minghao Li, et al. ∙

research

∙ 08/22/2018

Keyphrase Generation with Correlation Constraints

In this paper, we study automatic keyphrase generation. Although convent...

0 Jun Chen, et al. ∙

research

∙ 06/19/2018

Response Generation by Context-aware Prototype Editing

Open domain response generation has achieved remarkable progress in rece...

0 Yu Wu, et al. ∙

research

∙ 06/03/2018

TI-CNN: Convolutional Neural Networks for Fake News Detection

With the development of social networks, fake news for various commercia...

0 Yang Yang, et al. ∙

research

∙ 05/28/2018

r-instance Learning for Missing People Tweets Identification

The number of missing people (i.e., people who get lost) greatly increas...

0 Yang Yang, et al. ∙

research

∙ 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...

0 Yang Yang, et al. ∙

research

∙ 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...

0 Yu Wu, et al. ∙

research

∙ 01/29/2018

Ensemble Neural Relation Extraction with Adaptive Boosting

Relation extraction has been widely studied to extract new relational fa...

0 Dongdong Yang, et al. ∙

Zhoujun Li

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