b'Wai Lam'

research

∙ 09/09/2023

EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets

Large language models (LLMs) have shown promising performance on various...

0 Hongyuan Lu, et al. ∙

research

∙ 05/22/2023

A Frustratingly Simple Decoding Method for Neural Text Generation

We introduce a frustratingly simple, super efficient and surprisingly ef...

0 Haoran Yang, et al. ∙

research

∙ 05/17/2023

Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

In this paper, we take the initiative to investigate the performance of ...

0 Hanxu Hu, et al. ∙

research

∙ 05/17/2023

Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations

Unlike empathetic dialogues, the system in emotional support conversatio...

0 Yang Deng, et al. ∙

research

∙ 05/16/2023

Easy-to-Hard Learning for Information Extraction

Information extraction (IE) systems aim to automatically extract structu...

0 Chang Gao, et al. ∙

research

∙ 05/11/2023

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models

Large language models (LLMs) have shown surprisingly good performance in...

0 Hongyuan Lu, et al. ∙

research

∙ 05/04/2023

A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects

Proactive dialogue systems, related to a wide range of real-world conver...

0 Yang Deng, et al. ∙

research

∙ 04/08/2023

Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder

The sequence-to-sequence (seq2seq) task aims at generating the target se...

0 Zihao Fu, et al. ∙

research

∙ 02/16/2023

Product Question Answering in E-Commerce: A Survey

Product question answering (PQA), aiming to automatically provide instan...

0 Yang Deng, et al. ∙

research

∙ 12/15/2022

TRIP: Triangular Document-level Pre-training for Multilingual Language Models

Despite the current success of multilingual pre-training, most prior wor...

0 Hongyuan Lu, et al. ∙

research

∙ 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 ...

0 Weiwen Xu, et al. ∙

research

∙ 11/28/2022

On the Effectiveness of Parameter-Efficient Fine-Tuning

Fine-tuning pre-trained models has been ubiquitously proven to be effect...

0 Zihao Fu, et al. ∙

research

∙ 10/23/2022

McQueen: a Benchmark for Multimodal Conversational Query Rewrite

The task of query rewrite aims to convert an in-context query to its ful...

0 Yifei Yuan, et al. ∙

research

∙ 10/23/2022

Towards Generalizable and Robust Text-to-SQL Parsing

Text-to-SQL parsing tackles the problem of mapping natural language ques...

0 Chang Gao, et al. ∙

research

∙ 10/18/2022

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation

We introduce a new method to improve existing multilingual sentence embe...

6 Deng Cai, et al. ∙

research

∙ 10/17/2022

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks

Span Identification (SpanID) is a family of NLP tasks that aims to detec...

0 Weiwen Xu, et al. ∙

research

∙ 10/17/2022

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

To facilitate conversational question answering (CQA) over hybrid contex...

0 Yang Deng, et al. ∙

research

∙ 10/17/2022

ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction

We study automatic Contract Clause Extraction (CCE) by modeling implicit...

0 Weiwen Xu, et al. ∙

research

∙ 09/28/2022

Multilingual Transitivity and Bidirectional Multilingual Agreement for Multilingual Document-level Machine Translation

Multilingual machine translation has been proven an effective strategy t...

0 Hongyuan Lu, et al. ∙

research

∙ 09/26/2022

Informative Text Generation from Knowledge Triples

As the development of the encoder-decoder architecture, researchers are ...

0 Zihao Fu, et al. ∙

research

∙ 08/17/2022

PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation

Curriculum Data Augmentation (CDA) improves neural models by presenting ...

0 Hongyuan Lu, et al. ∙

research

∙ 04/16/2022

UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue

The goal-oriented document-grounded dialogue aims at responding to the u...

0 Chang Gao, et al. ∙

research

∙ 04/14/2022

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems

Recent years witnessed several advances in developing multi-goal convers...

0 Yang Deng, et al. ∙

research

∙ 04/10/2022

Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks

Parameter-efficient tuning aims to distill knowledge for downstream task...

10 Haoran Yang, et al. ∙

research

∙ 03/02/2022

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

As an important fine-grained sentiment analysis problem, aspect-based se...

0 Wenxuan Zhang, et al. ∙

research

∙ 02/28/2022

Improving Lexical Embeddings for Robust Question Answering

Recent techniques in Question Answering (QA) have gained remarkable perf...

0 Weiwen Xu, et al. ∙

research

∙ 02/07/2022

User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems

User Satisfaction Estimation (USE) is an important yet challenging task ...

0 Yang Deng, et al. ∙

research

∙ 12/27/2021

Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling

Recently, Product Question Answering (PQA) on E-Commerce platforms has a...

5 Yang Deng, et al. ∙

research

∙ 11/27/2021

Partner Personas Generation for Diverse Dialogue Generation

Incorporating personas information allows diverse and engaging responses...

0 Hongyuan Lu, et al. ∙

research

∙ 11/15/2021

Sentiment Analysis of Fashion Related Posts in Social Media

The role of social media in fashion industry has been blooming as the ye...

0 Yifei Yuan, et al. ∙

research

∙ 10/02/2021

Aspect Sentiment Quad Prediction as Paraphrase Generation

Aspect-based sentiment analysis (ABSA) has been extensively studied in r...

0 Wenxuan Zhang, et al. ∙

research

∙ 09/30/2021

Multilingual AMR Parsing with Noisy Knowledge Distillation

We study multilingual AMR parsing from the perspective of knowledge dist...

8 Deng Cai, et al. ∙

research

∙ 09/07/2021

Exploiting Reasoning Chains for Multi-hop Science Question Answering

We propose a novel Chain Guided Retriever-reader (CGR) framework to mode...

4 Weiwen Xu, et al. ∙

research

∙ 09/03/2021

Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation

Exemplar-Guided Paraphrase Generation (EGPG) aims to generate a target s...

7 Haoran Yang, et al. ∙

research

∙ 08/29/2021

Sentence Structure and Word Relationship Modeling for Emphasis Selection

Emphasis Selection is a newly proposed task which focuses on choosing wo...

0 Haoran Yang, et al. ∙

research

∙ 06/21/2021

Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation

In this work, we propose a novel and easy-to-apply data augmentation str...

0 Yang Deng, et al. ∙

research

∙ 06/08/2021

Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback

We study the task of conversational fashion image retrieval via multitur...

0 Yifei Yuan, et al. ∙

research

∙ 05/25/2021

Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering

Knowledge retrieval and reasoning are two key stages in multi-hop questi...

9 Weiwen Xu, et al. ∙

research

∙ 05/24/2021

Neural Machine Translation with Monolingual Translation Memory

Prior work has proved that Translation memory (TM) can boost the perform...

19 Deng Cai, et al. ∙

research

∙ 05/20/2021

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

Conversational recommender systems (CRS) enable the traditional recommen...

0 Yang Deng, et al. ∙

research

∙ 04/12/2021

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge

Answer selection, which is involved in many natural language processing ...

0 Yang Deng, et al. ∙

research

∙ 01/15/2021

Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation

Dialog systems enriched with external knowledge can handle user queries ...

0 Mudit Chaudhary, et al. ∙

research

∙ 12/29/2020

A Theoretical Analysis of the Repetition Problem in Text Generation

Text generation tasks, including translation, summarization, language mo...

0 Zihao Fu, et al. ∙

research

∙ 12/21/2020

Narrative Incoherence Detection

Motivated by the increasing popularity of intelligent editing assistant,...

13 Deng Cai, et al. ∙

research

∙ 10/23/2020

Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond

Cross-lingual adaptation with multilingual pre-trained language models (...

0 Xin Li, et al. ∙

research

∙ 10/08/2020

Multi-hop Inference for Question-driven Summarization

Question-driven summarization has been recently studied as an effective ...

0 Yang Deng, et al. ∙

research

∙ 10/03/2020

Partially-Aligned Data-to-Text Generation with Distant Supervision

The Data-to-Text task aims to generate human-readable text for describin...

0 Zihao Fu, et al. ∙

research

∙ 09/19/2020

Enhancing Dialogue Generation via Multi-Level Contrastive Learning

Most of the existing works for dialogue generation are data-driven model...

0 Xin Li, et al. ∙

research

∙ 08/27/2020

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce

Product-related question answering (QA) is an important but challenging ...

0 Yang Deng, et al. ∙

research

∙ 07/14/2020

Contextualized Code Representation Learning for Commit Message Generation

Automatic generation of high-quality commit messages for code commits ca...

0 Lun Yiu Nie, et al. ∙

Wai Lam

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