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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...
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05/22/2023
A Frustratingly Simple Decoding Method for Neural Text Generation
We introduce a frustratingly simple, super efficient and surprisingly ef...
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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 ...
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05/17/2023
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations
Unlike empathetic dialogues, the system in emotional support conversatio...
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05/16/2023
Easy-to-Hard Learning for Information Extraction
Information extraction (IE) systems aim to automatically extract structu...
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05/11/2023
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
Large language models (LLMs) have shown surprisingly good performance in...
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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...
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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...
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02/16/2023
Product Question Answering in E-Commerce: A Survey
Product question answering (PQA), aiming to automatically provide instan...
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12/15/2022
TRIP: Triangular Document-level Pre-training for Multilingual Language Models
Despite the current success of multilingual pre-training, most prior wor...
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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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11/28/2022
On the Effectiveness of Parameter-Efficient Fine-Tuning
Fine-tuning pre-trained models has been ubiquitously proven to be effect...
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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...
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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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10/18/2022
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
We introduce a new method to improve existing multilingual sentence embe...
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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...
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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...
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10/17/2022
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction
We study automatic Contract Clause Extraction (CCE) by modeling implicit...
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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...
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09/26/2022
Informative Text Generation from Knowledge Triples
As the development of the encoder-decoder architecture, researchers are ...
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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 ...
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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...
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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...
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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...
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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...
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02/28/2022
Improving Lexical Embeddings for Robust Question Answering
Recent techniques in Question Answering (QA) have gained remarkable perf...
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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 ...
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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...
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11/27/2021
Partner Personas Generation for Diverse Dialogue Generation
Incorporating personas information allows diverse and engaging responses...
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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...
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10/02/2021
Aspect Sentiment Quad Prediction as Paraphrase Generation
Aspect-based sentiment analysis (ABSA) has been extensively studied in r...
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09/30/2021
Multilingual AMR Parsing with Noisy Knowledge Distillation
We study multilingual AMR parsing from the perspective of knowledge dist...
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09/07/2021
Exploiting Reasoning Chains for Multi-hop Science Question Answering
We propose a novel Chain Guided Retriever-reader (CGR) framework to mode...
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09/03/2021
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
Exemplar-Guided Paraphrase Generation (EGPG) aims to generate a target s...
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08/29/2021
Sentence Structure and Word Relationship Modeling for Emphasis Selection
Emphasis Selection is a newly proposed task which focuses on choosing wo...
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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...
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06/08/2021
Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback
We study the task of conversational fashion image retrieval via multitur...
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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...
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05/24/2021
Neural Machine Translation with Monolingual Translation Memory
Prior work has proved that Translation memory (TM) can boost the perform...
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05/20/2021
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Conversational recommender systems (CRS) enable the traditional recommen...
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04/12/2021
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Answer selection, which is involved in many natural language processing ...
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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 ...
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12/29/2020
A Theoretical Analysis of the Repetition Problem in Text Generation
Text generation tasks, including translation, summarization, language mo...
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12/21/2020
Narrative Incoherence Detection
Motivated by the increasing popularity of intelligent editing assistant,...
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10/23/2020
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond
Cross-lingual adaptation with multilingual pre-trained language models (...
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10/08/2020
Multi-hop Inference for Question-driven Summarization
Question-driven summarization has been recently studied as an effective ...
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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...
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09/19/2020
Enhancing Dialogue Generation via Multi-Level Contrastive Learning
Most of the existing works for dialogue generation are data-driven model...
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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 ...
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07/14/2020