b'Linfeng Song'

research

∙ 09/18/2023

Stabilizing RLHF through Advantage Model and Selective Rehearsal

Large Language Models (LLMs) have revolutionized natural language proces...

0 Baolin Peng, et al. ∙

research

∙ 05/17/2023

A Survey on Zero Pronoun Translation

Zero pronouns (ZPs) are frequently omitted in pro-drop languages (e.g. C...

0 Longyue Wang, et al. ∙

research

∙ 02/16/2023

Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production

Knowledge-aided dialogue response generation aims at augmenting chatbots...

0 Ante Wang, et al. ∙

research

∙ 01/31/2023

Friend-training: Learning from Models of Different but Related Tasks

Current self-training methods such as standard self-training, co-trainin...

0 Mian Zhang, et al. ∙

research

∙ 11/11/2022

Getting the Most out of Simile Recognition

Simile recognition involves two subtasks: simile sentence classification...

0 Xiaoyue Wang, et al. ∙

research

∙ 10/22/2022

Cross-domain Generalization for AMR Parsing

Abstract Meaning Representation (AMR) parsing aims to predict an AMR gra...

0 Xuefeng Bai, et al. ∙

research

∙ 10/21/2022

Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play

The task of context-dependent text-to-SQL aims to convert multi-turn use...

0 Qi Liu, et al. ∙

research

∙ 09/19/2022

Semantic-based Pre-training for Dialogue Understanding

Pre-trained language models have made great progress on dialogue tasks. ...

0 Xuefeng Bai, et al. ∙

research

∙ 06/22/2022

Hierarchical Context Tagging for Utterance Rewriting

Utterance rewriting aims to recover coreferences and omitted information...

0 Lisa Jin, et al. ∙

research

∙ 04/27/2022

Distant finetuning with discourse relations for stance classification

Approaches for the stance classification task, an important task for und...

0 Lifeng Jin, et al. ∙

research

∙ 04/04/2022

Channel Acquisition for HF Skywave Massive MIMO-OFDM Communications

In this paper, we investigate channel acquisition for high frequency (HF...

0 Ding Shi, et al. ∙

research

∙ 06/19/2021

JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs

Existing pre-trained models for knowledge-graph-to-text (KG-to-text) gen...

0 Pei Ke, et al. ∙

research

∙ 05/28/2021

Domain-Adaptive Pretraining Methods for Dialogue Understanding

Language models like BERT and SpanBERT pretrained on open-domain data ha...

0 Han Wu, et al. ∙

research

∙ 05/21/2021

Semantic Representation for Dialogue Modeling

Although neural models have achieved competitive results in dialogue sys...

0 Xuefeng Bai, et al. ∙

research

∙ 04/11/2021

Conversational Semantic Role Labeling

Semantic role labeling (SRL) aims to extract the arguments for each pred...

0 Kun Xu, et al. ∙

research

∙ 04/09/2021

Video-aided Unsupervised Grammar Induction

We investigate video-aided grammar induction, which learns a constituenc...

0 Linfeng Song, et al. ∙

research

∙ 03/05/2021

Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning

In aspect-based sentiment analysis (ABSA), many neural models are equipp...

0 Jinsong Su, et al. ∙

research

∙ 02/12/2021

Structural Information Preserving for Graph-to-Text Generation

The task of graph-to-text generation aims at producing sentences that pr...

0 Linfeng Song, et al. ∙

research

∙ 12/31/2020

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

This technique report introduces TexSmart, a text understanding system t...

10 Haisong Zhang, et al. ∙

research

∙ 12/29/2020

Robust Dialogue Utterance Rewriting as Sequence Tagging

The task of dialogue rewriting aims to reconstruct the latest dialogue u...

0 Jie Hao, et al. ∙

research

∙ 10/09/2020

Online Back-Parsing for AMR-to-Text Generation

AMR-to-text generation aims to recover a text containing the same meanin...

0 Xuefeng Bai, et al. ∙

research

∙ 10/03/2020

Semantic Role Labeling Guided Multi-turn Dialogue ReWriter

For multi-turn dialogue rewriting, the capacity of effectively modeling ...

0 Kun Xu, et al. ∙

research

∙ 01/23/2020

Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment

Existing entity alignment methods mainly vary on the choices of encoding...

0 Kun Xu, et al. ∙

research

∙ 12/19/2019

Neural Simile Recognition with Cyclic Multitask Learning and Local Attention

Simile recognition is to detect simile sentences and to extract simile c...

0 Jiali Zeng, et al. ∙

research

∙ 12/16/2019

Graph-based Neural Sentence Ordering

Sentence ordering is to restore the original paragraph from a set of sen...

0 Yongjing Yin, et al. ∙

research

∙ 11/11/2019

Leveraging Dependency Forest for Neural Medical Relation Extraction

Medical relation extraction discovers relations between entity mentions ...

0 Linfeng Song, et al. ∙

research

∙ 07/19/2019

Multi-Granular Text Encoding for Self-Explaining Categorization

Self-explaining text categorization requires a classifier to make a pred...

0 Zhiguo Wang, et al. ∙

research

∙ 07/13/2019

Tackling Graphical NLP problems with Graph Recurrent Networks

How to properly model graphs is a long-existing and important problem in...

0 Linfeng Song, et al. ∙

research

∙ 06/20/2019

Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning

Benefiting from the excellent ability of neural networks on learning sem...

0 Mengge Xue, et al. ∙

research

∙ 06/04/2019

Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis

In aspect-level sentiment classification (ASC), it is prevalent to equip...

0 Jialong Tang, et al. ∙

research

∙ 05/26/2019

SemBleu: A Robust Metric for AMR Parsing Evaluation

Evaluating AMR parsing accuracy involves comparing pairs of AMR graphs. ...

0 Linfeng Song, et al. ∙

research

∙ 02/19/2019

Semantic Neural Machine Translation using AMR

It is intuitive that semantic representations can be useful for machine ...

16 Linfeng Song, et al. ∙

research

∙ 10/23/2018

Neural Transition-based Syntactic Linearization

The task of linearization is to find a grammatical order given a set of ...

0 Linfeng Song, et al. ∙

research

∙ 09/06/2018

Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks

Multi-hop reading comprehension focuses on one type of factoid question,...

0 Linfeng Song, et al. ∙

research

∙ 08/28/2018

N-ary Relation Extraction using Graph State LSTM

Cross-sentence n-ary relation extraction detects relations among n entit...

0 Linfeng Song, et al. ∙

research

∙ 05/07/2018

Sentence-State LSTM for Text Representation

Bi-directional LSTMs are a powerful tool for text representation. On the...

0 Yue Zhang, et al. ∙

research

∙ 05/07/2018

A Graph-to-Sequence Model for AMR-to-Text Generation

The problem of AMR-to-text generation is to recover a text representing ...

0 Linfeng Song, et al. ∙

research

∙ 09/04/2017

A Unified Query-based Generative Model for Question Generation and Question Answering

We propose a query-based generative model for solving both tasks of ques...

0 Linfeng Song, et al. ∙

research

∙ 08/25/2017

k-Nearest Neighbor Augmented Neural Networks for Text Classification

In recent years, many deep-learning based models are proposed for text c...

0 Zhiguo Wang, et al. ∙

research

∙ 02/01/2017

AMR-to-text Generation with Synchronous Node Replacement Grammar

This paper addresses the task of AMR-to-text generation by leveraging sy...

0 Linfeng Song, et al. ∙

research

∙ 10/12/2016

Question Generation from a Knowledge Base with Web Exploration

Question generation from a knowledge base (KB) is the task of generating...

0 Linfeng Song, et al. ∙

research

∙ 06/17/2016

Sense Embedding Learning for Word Sense Induction

Conventional word sense induction (WSI) methods usually represent each i...

0 Linfeng Song, et al. ∙

Linfeng Song

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