b'Xiaodan Zhu'

research

∙ 08/25/2023

ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection

Open intent detection, a crucial aspect of natural language understandin...

0 Yihao Fang, et al. ∙

research

∙ 07/06/2023

NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic

Reasoning has been a central topic in artificial intelligence from the b...

0 Zi'ou Zheng, et al. ∙

research

∙ 05/25/2023

Prototype-Based Interpretability for Legal Citation Prediction

Deep learning has made significant progress in the past decade, and demo...

0 Chu Fei Luo, et al. ∙

research

∙ 05/24/2023

A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification

In recent years, large language models (LLMs) have achieved strong perfo...

0 Rohan Bhambhoria, et al. ∙

research

∙ 05/20/2023

Prefix Propagation: Parameter-Efficient Tuning for Long Sequences

Parameter-efficient tuning aims to mitigate the large memory requirement...

0 Jonathan Li, et al. ∙

research

∙ 05/10/2023

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks

The most recent large language models such as ChatGPT and GPT-4 have gar...

0 Xianzhi Li, et al. ∙

research

∙ 03/05/2023

Effectiveness of Data Augmentation for Prefix Tuning with Limited Data

Recent work has demonstrated that tuning continuous prompts on large, fr...

0 Stephen Obadinma, et al. ∙

research

∙ 03/03/2023

Optimal scheduling of park-level integrated energy system considering ladder-type carbon trading mechanism and flexible load

In an attempt to improve the utilization efficiency of multi-energy coup...

0 Hongbin Sun, et al. ∙

research

∙ 02/07/2023

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support

Building Agent Assistants that can help improve customer service support...

0 Stephen Obadinma, et al. ∙

research

∙ 10/25/2022

Learning Better Intent Representations for Financial Open Intent Classification

With the recent surge of NLP technologies in the financial domain, banks...

0 Xianzhi Li, et al. ∙

research

∙ 10/25/2022

Parameter-Efficient Legal Domain Adaptation

Seeking legal advice is often expensive. Recent advancement in machine l...

0 Jonathan Li, et al. ∙

research

∙ 01/01/2022

Interpretable Low-Resource Legal Decision Making

Over the past several years, legal applications of deep learning have be...

5 Rohan Bhambhoria, et al. ∙

research

∙ 09/22/2021

Exploring Decomposition for Table-based Fact Verification

Fact verification based on structured data is challenging as it requires...

0 Xiaoyu Yang, et al. ∙

research

∙ 09/14/2021

Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization

Being able to reply with a related, fluent, and informative response is ...

0 Lei Shen, et al. ∙

research

∙ 09/08/2021

Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference

While recent research on natural language inference has considerably ben...

0 Xiaoyu Yang, et al. ∙

research

∙ 09/07/2021

Unsupervised Conversation Disentanglement through Co-Training

Conversation disentanglement aims to separate intermingled messages into...

2 Hui Liu, et al. ∙

research

∙ 09/03/2021

Detecting Speaker Personas from Conversational Texts

Personas are useful for dialogue response prediction. However, the perso...

0 Jia-Chen Gu, et al. ∙

research

∙ 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...

0 Yinpei Dai, et al. ∙

research

∙ 05/31/2021

SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning

This paper introduces the SemEval-2021 shared task 4: Reading Comprehens...

0 Boyuan Zheng, et al. ∙

research

∙ 05/19/2021

Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots

Persona can function as the prior knowledge for maintaining the consiste...

5 Jia-Chen Gu, et al. ∙

research

∙ 04/04/2021

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning

Exploiting label hierarchies has become a promising approach to tackling...

10 Hui Liu, et al. ∙

research

∙ 03/07/2021

Improving Text-to-SQL with Schema Dependency Learning

Text-to-SQL aims to map natural language questions to SQL queries. The s...

0 Binyuan Hui, et al. ∙

research

∙ 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...

0 Binyuan Hui, et al. ∙

research

∙ 12/22/2020

Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems

Task-oriented conversational modeling with unstructured knowledge access...

0 Chao-Hong Tan, et al. ∙

research

∙ 11/08/2020

Exploring End-to-End Differentiable Natural Logic Modeling

We explore end-to-end trained differentiable models that integrate natur...

0 Yufei Feng, et al. ∙

research

∙ 10/19/2020

Deriving Commonsense Inference Tasks from Interactive Fictions

Commonsense reasoning simulates the human ability to make presumptions a...

0 Mo Yu, et al. ∙

research

∙ 10/06/2020

Program Enhanced Fact Verification with Verbalization and Graph Attention Network

Performing fact verification based on structured data is important for m...

0 Xiaoyu Yang, et al. ∙

research

∙ 08/02/2020

SemEval-2020 Task 5: Counterfactual Recognition

We present a counterfactual recognition (CR) task, the shared Task 5 of ...

0 Xiaoyu Yang, et al. ∙

research

∙ 07/01/2020

SemEval-2020 Task 4: Commonsense Validation and Explanation

In this paper, we present SemEval-2020 Task 4, Commonsense Validation an...

0 Cunxiang Wang, et al. ∙

research

∙ 06/21/2020

Improving Image Captioning with Better Use of Captions

Image captioning is a multimodal problem that has drawn extensive attent...

11 Zhan Shi, et al. ∙

research

∙ 05/12/2020

Dynamic Memory Induction Networks for Few-Shot Text Classification

This paper proposes Dynamic Memory Induction Networks (DMIN) for few-sho...

0 Ruiying Geng, et al. ∙

research

∙ 04/30/2020

Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots

The challenges of building knowledge-grounded retrieval-based chatbots l...

0 Jia-Chen Gu, et al. ∙

research

∙ 04/08/2020

DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement

Disentanglement is a problem in which multiple conversations occur in th...

0 Tianda Li, et al. ∙

research

∙ 04/07/2020

Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots

In this paper, we study the problem of employing pre-trained language mo...

0 Jia-Chen Gu, et al. ∙

research

∙ 04/06/2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

We propose the new problem of learning to recover reasoning chains from ...

0 Yufei Feng, et al. ∙

research

∙ 04/04/2020

Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems

The NOESIS II challenge, as the Track 2 of the 8th Dialogue System Techn...

0 Jia-Chen Gu, et al. ∙

research

∙ 11/20/2019

Learning Cross-modal Context Graph for Visual Grounding

Visual grounding is a ubiquitous building block in many vision-language ...

15 Yongfei Liu, et al. ∙

research

∙ 08/16/2019

Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots

This paper proposes a dually interactive matching network (DIM) for pres...

0 Jia-Chen Gu, et al. ∙

research

∙ 07/15/2019

Exploring Deep Anomaly Detection Methods Based on Capsule Net

In this paper, we develop and explore deep anomaly detection techniques ...

2 Xiaoyan Li, et al. ∙

research

∙ 04/27/2019

Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference

Natural language inference (NLI) is among the most challenging tasks in ...

0 Tianda Li, et al. ∙

research

∙ 04/22/2019

Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge

Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in te...

0 Yu-Ping Ruan, et al. ∙

research

∙ 01/27/2019

Promoting Diversity for End-to-End Conversation Response Generation

We present our work on Track 2 in the Dialog System Technology Challenge...

0 Yu-Ping Ruan, et al. ∙

research

∙ 09/07/2018

Logographic Subword Model for Neural Machine Translation

A novel logographic subword model is proposed to reinterpret logograms a...

0 Yihao Fang, et al. ∙

research

∙ 07/31/2018

Interactive Summarization and Exploration of Top Aggregate Query Answers

We present a system for summarization and interactive exploration of hig...

0 Yuhao Wen, et al. ∙

research

∙ 06/26/2018

Enhancing Sentence Embedding with Generalized Pooling

Pooling is an essential component of a wide variety of sentence represen...

0 Qian Chen, et al. ∙

research

∙ 11/12/2017

Natural Language Inference with External Knowledge

Modeling informal inference in natural language is very challenging. Wit...

0 Qian Chen, et al. ∙

research

∙ 08/04/2017

Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference

The RepEval 2017 Shared Task aims to evaluate natural language understan...

0 Qian Chen, et al. ∙

research

∙ 03/14/2017

Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering

The last several years have seen intensive interest in exploring neural-...

0 Junbei Zhang, et al. ∙

research

∙ 11/13/2016

Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge

In this paper, we propose commonsense knowledge enhanced embeddings (KEE...

0 Quan Liu, et al. ∙

research

∙ 10/26/2016

Distraction-Based Neural Networks for Document Summarization

Distributed representation learned with neural networks has recently sho...

0 Qian Chen, et al. ∙

Xiaodan Zhu

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