EMNLP 2022

2,056 papers

Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems

Neeraj Varshney, Chitta Baral

IndicXNLI: Evaluating Multilingual Inference for Indian Languages

Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan

Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation

Bryan Eikema, Wilker Aziz

On the Limitations of Reference-Free Evaluations of Generated Text

Daniel Deutsch, Rotem Dror, Dan Roth

Do Children Texts Hold The Key To Commonsense Knowledge?

Julien Romero, Simon Razniewski

FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue

Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe

CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision

Yuning Mao, Ming Zhong, Jiawei Han

Cross-domain Generalization for AMR Parsing

Xuefeng Bai, Sen Yang, Leyang Cui, Linfeng Song, Yue Zhang

ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts

Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde

ProofInfer: Generating Proof via Iterative Hierarchical Inference

Zichu Fei, Qi Zhang, Xin Zhou, Tao Gui, Xuanjing Huang

The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative

Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze

Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention

Wenhao Li, Xiaoyuan Yi, Jinyi Hu, Maosong Sun, Xing Xie

KOLD: Korean Offensive Language Dataset

Younghoon Jeong, Juhyun Oh, Jongwon Lee, Jaimeen Ahn, Jihyung Moon

Faithful Knowledge Graph Explanations in Commonsense Question Answering

Guy Aglionby, Simone Teufel

End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching

Chi Chen, Peng Li, Maosong Sun, Yang Liu

EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation

Tao Ge, Si-Qing Chen, Furu Wei

SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition

Fabian David Schmidt, Ivan Vulić, Goran Glavaš

Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation

Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam -

Towards relation extraction from speech

Tongtong Wu, Guitao Wang, Jinming Zhao, Zhaoran Liu, Guilin Qi

Towards Compositional Generalization in Code Search

Hojae Han, Seung-won Hwang, Shuai Lu, Nan Duan, Seungtaek Choi

Don’t Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models

Fabian David Schmidt, Ivan Vulić, Goran Glavaš

Simplified Graph Learning for Inductive Short Text Classification

Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou

Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations

Wanqiu Long, Bonnie Webber

Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task

Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, Jaegul Choo

Quality Scoring of Source Words in Neural Translation Models

Priyesh Jain, Sunita Sarawagi, Tushar Tomar

The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation

Barbara Plank

Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples

Tianhao Shen, Mingtong Liu, Ming Zhou, Deyi Xiong

Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook

Chang Liu, Chongyang Tao, Jianxin Liang, Tao Shen, Jiazhan Feng

AdapterShare: Task Correlation Modeling with Adapter Differentiation

Zhi Chen, Bei Chen, Lu Chen, Kai Yu, Jian-Guang Lou

CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking

George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff

An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning

Mohammad AkbarTajari, Sara Rajaee, Mohammad Taher Pilehvar

Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference

Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar

Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature

Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton

Reorder and then Parse, Fast and Accurate Discontinuous Constituency Parsing

Kailai Sun, Zuchao Li, Hai Zhao

An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy

Anmol Goel, Charu Sharma, Ponnurangam Kumaraguru

Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation

Yanyang Li, Jianqiao Zhao, Michael Lyu, Liwei Wang

Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation

Kaiyu Huang, Peng Li, Jin Ma, Yang Liu

MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion

Yu Zhao, Xiangrui Cai, Yike Wu, Haiwei Zhang, Ying Zhang

Evaluating the Knowledge Dependency of Questions

Hyeongdon Moon, Yoonseok Yang, Hangyeol Yu, Seunghyun Lee, Myeongho Jeong

MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences

Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria

FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning

Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang

FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows

Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality

Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin

A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism

Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du

Context Limitations Make Neural Language Models More Human-Like

Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui

“Covid vaccine is against Covid but Oxford vaccine is made at Oxford!” Semantic Interpretation of Proper Noun Compounds

Keshav Kolluru, Gabriel Stanovsky, Mausam -

Discourse Context Predictability Effects in Hindi Word Order

Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar

AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning

S. K. Hong, Tae Young Jang

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, yuan zhang

CISLR: Corpus for Indian Sign Language Recognition

Abhinav Joshi, Ashwani Bhat, Pradeep S, Priya Gole, Shashwat Gupta

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation

Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan

MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective

Zhe Hu, Hou Pong Chan, Lifu Huang

Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules

Shengda Fan, Shasha Mo, Jianwei Niu

DiscoSense: Commonsense Reasoning with Discourse Connectives

Prajjwal Bhargava, Vincent Ng

Graph-Induced Transformers for Efficient Multi-Hop Question Answering

Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng

Saving Dense Retriever from Shortcut Dependency in Conversational Search

Sungdong Kim, Gangwoo Kim

A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification

Kaifa Zhao, Le Yu, Shiyao Zhou, Jing Li, Xiapu Luo

SentBS: Sentence-level Beam Search for Controllable Summarization

Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si

PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks

Srijan Bansal, Suraj Tripathi, Sumit Agarwal, Teruko Mitamura, Eric Nyberg

Fine-Tuning Pre-trained Transformers into Decaying Fast Weights

Huanru Henry Mao

Dictionary-Assisted Supervised Contrastive Learning

Patrick Y. Wu, Richard Bonneau, Joshua A. Tucker, Jonathan Nagler

Continual Training of Language Models for Few-Shot Learning

Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu

Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation

Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray

Adapting a Language Model While Preserving its General Knowledge

Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu

HEGEL: Hypergraph Transformer for Long Document Summarization

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering

Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria

Prompt-based Distribution Alignment for Domain Generalization in Text Classification

Chen Jia, Yue Zhang

Low-resource Neural Machine Translation with Cross-modal Alignment

Zhe Yang, Qingkai Fang, Yang Feng

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach

Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria

Adaptive Token-level Cross-lingual Feature Mixing for Multilingual Neural Machine Translation

Junpeng Liu, Kaiyu Huang, Jiuyi Li, Huan Liu, Jinsong Su

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction

Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Zhen Hai, Lidong Bing

Unsupervised Non-transferable Text Classification

Guangtao Zeng, Wei Lu

An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks

Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, Wilfred Ng

Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure

Xueliang Zhao, Lemao Liu, Tingchen Fu, Shuming Shi, Dongyan Zhao

Sentence-level Media Bias Analysis Informed by Discourse Structures

Yuanyuan Lei, Ruihong Huang, Lu Wang, Nick Beauchamp

A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction

Lida Shi, Fausto Giunchiglia, Rui Song, Daqian Shi, Tongtong Liu

Specializing Multi-domain NMT via Penalizing Low Mutual Information

Jiyoung Lee, Hantae Kim, Hyunchang Cho, Edward Choi, Cheonbok Park

CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning

Zeqiu Wu, Yi Luan, Hannah Rashkin, David Reitter, Hannaneh Hajishirzi

Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks

Zae Myung Kim, Wanyu Du, Vipul Raheja, Dhruv Kumar, Dongyeop Kang

Symptom Identification for Interpretable Detection of Multiple Mental Disorders on Social Media

Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Zhu

Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation

Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang

VisToT: Vision-Augmented Table-to-Text Generation

Prajwal Gatti, Anand Mishra, Manish Gupta, Mithun Das Gupta

Polyglot Prompt: Multilingual Multitask Prompt Training

Jinlan Fu, See-Kiong Ng, Pengfei Liu

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo

Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature

Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri

Entity-centered Cross-document Relation Extraction

Fengqi Wang, Fei Li, Hao Fei, Jingye Li, Shengqiong Wu

CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering

Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang

Large Dual Encoders Are Generalizable Retrievers

Jianmo Ni, Chen Qu, Jing LU, Zhuyun Dai, Gustavo Hernandez Abrego

Coordinated Topic Modeling

Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang

Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling

Vidhisha Balachandran, Hannaneh Hajishirzi, William Cohen, Yulia Tsvetkov

Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens

Nitish Joshi, Xiang Pan, He He

Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model

Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin Zhang

Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation

Dongkyu Lee, Ka Chun Cheung, Nevin Zhang

Learning with Rejection for Abstractive Text Summarization

Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit CHEUNG

CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations

Róbert Csordás, Kazuki Irie, Juergen Schmidhuber

Meta-Learning Fast Weight Language Models

Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey Hinton

Leveraging QA Datasets to Improve Generative Data Augmentation

Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang

Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis

Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs

Kyle Richardson, Ronen Tamari, Oren Sultan, Dafna Shahaf, Reut Tsarfaty

MABEL: Attenuating Gender Bias using Textual Entailment Data

Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen