---
title: "COLING 2022 — all accepted papers, page 4 — the most cited first"
description: "All 632 papers of COLING 2022 · page 4 of 7, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/coling/2022/papers/page/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/coling/2022/papers/page/4/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [COLING](https://md.research.elamur.ai/free/en/venues/coling/) / [2022](https://md.research.elamur.ai/free/en/venues/coling/2022/) / [papers](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/) / page 4

# COLING 2022: all accepted papers

632 papers · page 4 of 7 · the most cited first · [← COLING 2022](https://md.research.elamur.ai/free/en/venues/coling/2022/)

[← prev](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/3/) [1](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/) [2](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/2/) [3](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/3/) **4** [5](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/5/) [6](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/6/) [7](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/7/) [next →](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/5/)

301. **[Human-in-the-loop Robotic Grasping Using BERT Scene Representation ↗](https://aclanthology.org/2022.coling-1.265/)**Yaoxian Song, Penglei Sun, Pengfei Fang et al.
302. **[IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification ↗](https://aclanthology.org/2022.coling-1.121/)**Hao Wang, Yangguang Li, Zhen Huang et al.
303. **[IMPARA: Impact-Based Metric for GEC Using Parallel Data ↗](https://aclanthology.org/2022.coling-1.316/)**Koki Maeda, Masahiro Kaneko, Naoaki Okazaki
304. **[Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning ↗](https://aclanthology.org/2022.coling-1.569/)**Zhichao Geng, Ming Zhong, Zhangyue Yin et al.
305. **[Improving Both Domain Robustness and Domain Adaptability in Machine Translation ↗](https://aclanthology.org/2022.coling-1.461/)**Wen Lai, Jindřich Libovický, Alexander Fraser
306. **[Improving Code-switched ASR with Linguistic Information ↗](https://aclanthology.org/2022.coling-1.627/)**Jie Chi, Peter Bell
307. **[Improving Commonsense Contingent Reasoning by Pseudo-data and Its Application to the Related Tasks ↗](https://aclanthology.org/2022.coling-1.68/)**Kazumasa Omura, Sadao Kurohashi
308. **[Improving Continual Relation Extraction through Prototypical Contrastive Learning ↗](https://aclanthology.org/2022.coling-1.163/)**Chengwei Hu, Deqing Yang, Haoliang Jin et al.
309. **[Improving Deep Embedded Clustering via Learning Cluster-level Representations ↗](https://aclanthology.org/2022.coling-1.195/)**Qing Yin, Zhihua Wang, Yunya Song et al.
310. **[Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer ↗](https://aclanthology.org/2022.coling-1.250/)**Qiong Nan, Danding Wang, Yongchun Zhu et al.
311. **[Improving Low-resource RRG Parsing with Cross-lingual Self-training ↗](https://aclanthology.org/2022.coling-1.384/)**Kilian Evang, Laura Kallmeyer, Jakub Waszczuk et al.
312. **[Improving Non-Autoregressive Neural Machine Translation via Modeling Localness ↗](https://aclanthology.org/2022.coling-1.463/)**Yong Wang, Xinwei Geng
313. **[Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning ↗](https://aclanthology.org/2022.coling-1.24/)**Geunseob Oh, Rahul Goel, Chris Hidey et al.
314. **[Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information ↗](https://aclanthology.org/2022.coling-1.214/)**Xuhui Sui, Ying Zhang, Kehui Song et al.
315. **[Improving Zero-Shot Multilingual Text Generation via Iterative Distillation ↗](https://aclanthology.org/2022.coling-1.513/)**Ernie Chang, Alex Marin, Vera Demberg
316. **[In-the-Wild Video Question Answering ↗](https://aclanthology.org/2022.coling-1.496/)**Santiago Castro, Naihao Deng, Pingxuan Huang et al.
317. **[Incorporating Causal Analysis into Diversified and Logical Response Generation ↗](https://aclanthology.org/2022.coling-1.30/)**Jiayi Liu, Wei Wei, Zhixuan Chu et al.
318. **[Incorporating Instructional Prompts into a Unified Generative Framework for Joint Multiple Intent Detection and Slot Filling ↗](https://aclanthology.org/2022.coling-1.631/)**Yangjun Wu, Han Wang, Dongxiang Zhang et al.
319. **[Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection ↗](https://aclanthology.org/2022.coling-1.189/)**Minqian Liu, Shiyu Chang, Lifu Huang
320. **[InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples ↗](https://aclanthology.org/2022.coling-1.340/)**Venelin Kovatchev, Mariona Taulé
321. **[Informative Language Representation Learning for Massively Multilingual Neural Machine Translation ↗](https://aclanthology.org/2022.coling-1.458/)**Renren Jin, Deyi Xiong
322. **[Interactive Post-Editing for Verbosity Controlled Translation ↗](https://aclanthology.org/2022.coling-1.454/)**Prabhakar Gupta, Anil Nelakanti, Grant M. Berry et al.
323. **[Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences](https://md.research.elamur.ai/free/en/papers/kabbara-2022-investigating-performance-transformer-based-nli/)**Jad Kabbara, Jackie Chi Kit Cheung*our summary*
324. **[Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine Translation ↗](https://aclanthology.org/2022.coling-1.448/)**Hongxiao Zhang, Hui Huang, Jiale Gao et al.
325. **[Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling ↗](https://aclanthology.org/2022.coling-1.478/)**Shuhei Kurita, Hiroki Ouchi, Kentaro Inui et al.
326. **[JPG - Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation ↗](https://aclanthology.org/2022.coling-1.523/)**Jingyi You, Dongyuan Li, Manabu Okumura et al.
327. **[Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction ↗](https://aclanthology.org/2022.coling-1.606/)**Shunjie Chen, Xiaochuan Shi, Jingye Li et al.
328. **[Joint Goal Segmentation and Goal Success Prediction on Multi-Domain Conversations ↗](https://aclanthology.org/2022.coling-1.41/)**Meiguo Wang, Benjamin Yao, Bin Guo et al.
329. **[Joint Language Semantic and Structure Embedding for Knowledge Graph Completion ↗](https://aclanthology.org/2022.coling-1.171/)**Jianhao Shen, Chenguang Wang, Linyuan Gong et al.
330. **[K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment ↗](https://aclanthology.org/2022.coling-1.311/)**Jean Lee, Taejun Lim, Heejun Lee et al.
331. **[KC-ISA: An Implicit Sentiment Analysis Model Combining Knowledge Enhancement and Context Features ↗](https://aclanthology.org/2022.coling-1.601/)**Minghao Xu, Daling Wang, Shi Feng et al.
332. **[KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings ↗](https://aclanthology.org/2022.coling-1.229/)**Zhiping Luo, Wentao Xu, Weiqing Liu et al.
333. **[KHANQ: A Dataset for Generating Deep Questions in Education ↗](https://aclanthology.org/2022.coling-1.518/)**Huanli Gong, Liangming Pan, Hengchang Hu
334. **[KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks ↗](https://aclanthology.org/2022.coling-1.425/)**Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria
335. **[Key Mention Pairs Guided Document-Level Relation Extraction ↗](https://aclanthology.org/2022.coling-1.165/)**Feng Jiang, Jianwei Niu, Shasha Mo et al.
336. **[Keyphrase Prediction from Video Transcripts: New Dataset and Directions ↗](https://aclanthology.org/2022.coling-1.624/)**Amir Pouran Ben Veyseh, Quan Hung Tran, Seunghyun Yoon et al.
337. **[KiPT: Knowledge-injected Prompt Tuning for Event Detection ↗](https://aclanthology.org/2022.coling-1.169/)**Haochen Li, Tong Mo, Hongcheng Fan et al.
338. **[Knowledge Distillation with Reptile Meta-Learning for Pretrained Language Model Compression ↗](https://aclanthology.org/2022.coling-1.435/)**Xinge Ma, Jin Wang, Liang-Chih Yu et al.
339. **[Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion ↗](https://aclanthology.org/2022.coling-1.352/)**Chen Chen, Yufei Wang, Bing Li et al.
340. **[KoBEST: Korean Balanced Evaluation of Significant Tasks ↗](https://aclanthology.org/2022.coling-1.325/)**Myeongjun Jang, Dohyung Kim, Deuk Sin Kwon et al.
341. **[KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks ↗](https://aclanthology.org/2022.coling-1.308/)**Gyeongmin Kim, Jinsung Kim, Junyoung Son et al.
342. **[LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis ↗](https://aclanthology.org/2022.coling-1.610/)**Tianhao Gao, Jun Fang, Hanyu Liu et al.
343. **[LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases ↗](https://aclanthology.org/2022.coling-1.572/)**Zichu Fei, Xin Zhou, Tao Gui et al.
344. **[LIME: Weakly-Supervised Text Classification without Seeds ↗](https://aclanthology.org/2022.coling-1.91/)**Seongmin Park, Jihwa Lee
345. **[LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging ↗](https://aclanthology.org/2022.coling-1.18/)**Andy Rosenbaum, Saleh Soltan, Wael Hamza et al.
346. **[LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation ↗](https://aclanthology.org/2022.coling-1.505/)**Yue Zhang, Parisa Kordjamshidi
347. **[Label Smoothing for Text Mining ↗](https://aclanthology.org/2022.coling-1.193/)**Peiyang Liu, Xiangyu Xi, Wei Ye et al.
348. **[Language Acquisition through Intention Reading and Pattern Finding ↗](https://aclanthology.org/2022.coling-1.2/)**Jens Nevens, Jonas Doumen, Paul Van Eecke et al.
349. **[Language Branch Gated Multilingual Neural Machine Translation ↗](https://aclanthology.org/2022.coling-1.447/)**Haoran Sun, Deyi Xiong
350. **[Language-Independent Approach for Morphological Disambiguation ↗](https://aclanthology.org/2022.coling-1.470/)**Alymzhan Toleu, Gulmira Tolegen, Rustam Mussabayev
351. **[Language-specific Effects on Automatic Speech Recognition Errors for World Englishes ↗](https://aclanthology.org/2022.coling-1.628/)**June Choe, Yiran Chen, May Pik Yu Chan et al.
352. **[Large Sequence Representation Learning via Multi-Stage Latent Transformers ↗](https://aclanthology.org/2022.coling-1.410/)**Ionut-Catalin Sandu, Daniel Voinea, Alin-Ionut Popa
353. **[Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust? ↗](https://aclanthology.org/2022.coling-1.300/)**Doan Nam Long Vu, Nafise Sadat Moosavi, Steffen Eger
354. **[LayerConnect: Hypernetwork-Assisted Inter-Layer Connector to Enhance Parameter Efficiency ↗](https://aclanthology.org/2022.coling-1.276/)**Haoxiang Shi, Rongsheng Zhang, Jiaan Wang et al.
355. **[Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks ↗](https://aclanthology.org/2022.coling-1.427/)**Siddhartha Datta
356. **[Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis ↗](https://aclanthology.org/2022.coling-1.618/)**Yinglong Ma, Yunhe Pang
357. **[Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation ↗](https://aclanthology.org/2022.coling-1.456/)**Qiang Wang, Rongxiang Weng, Ming Chen
358. **[Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations ↗](https://aclanthology.org/2022.coling-1.175/)**Jinfa Yang, Xianghua Ying, Yongjie Shi et al.
359. **[Learning from Adjective-Noun Pairs: A Knowledge-enhanced Framework for Target-Oriented Multimodal Sentiment Classification ↗](https://aclanthology.org/2022.coling-1.590/)**Fei Zhao, Zhen Wu, Siyu Long et al.
360. **[Learning to Focus on the Foreground for Temporal Sentence Grounding ↗](https://aclanthology.org/2022.coling-1.490/)**Daizong Liu, Wei Hu
361. **[Learning to Generate Explanation from e-Hospital Services for Medical Suggestion ↗](https://aclanthology.org/2022.coling-1.260/)**Wei-Lin Chen, An-Zi Yen, Hen-Hsen Huang et al.
362. **[Learning to Improve Persona Consistency in Multi-party Dialogue Generation via Text Knowledge Enhancement ↗](https://aclanthology.org/2022.coling-1.23/)**Dongshi Ju, Shi Feng, Pengcheng Lv et al.
363. **[Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models ↗](https://aclanthology.org/2022.coling-1.143/)**Ting Wu, Tao Gui
364. **[LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting ↗](https://aclanthology.org/2022.coling-1.209/)**Xiang Chen, Lei Li, Shumin Deng et al.
365. **[Linguistically Motivated Features for Classifying Shorter Text into Fiction and Non-Fiction Genre ↗](https://aclanthology.org/2022.coling-1.77/)**Arman Kazmi, Sidharth Ranjan, Arpit Sharma et al.
366. **[Linguistically-Motivated Yorùbá-English Machine Translation ↗](https://aclanthology.org/2022.coling-1.449/)**Ife Adebara, Muhammad Abdul-Mageed, Miikka Silfverberg
367. **[LipKey: A Large-Scale News Dataset for Absent Keyphrases Generation and Abstractive Summarization ↗](https://aclanthology.org/2022.coling-1.303/)**Fajri Koto, Timothy Baldwin, Jey Han Lau
368. **[Locally Distributed Activation Vectors for Guided Feature Attribution ↗](https://aclanthology.org/2022.coling-1.83/)**Housam K. B. Bashier, Mi-Young Kim, Randy Goebel
369. **[Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering ↗](https://aclanthology.org/2022.coling-1.142/)**Siyuan Wang, Zhongyu Wei, Zhihao Fan et al.
370. **[Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases ↗](https://aclanthology.org/2022.coling-1.145/)**Xixin Hu, Xuan Wu, Yiheng Shu et al.
371. **[MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction ↗](https://aclanthology.org/2022.coling-1.292/)**Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon et al.
372. **[MCS: An In-battle Commentary System for MOBA Games ↗](https://aclanthology.org/2022.coling-1.262/)**Xiaofeng Qi, Chao Li, Zhongping Liang et al.
373. **[MECI: A Multilingual Dataset for Event Causality Identification ↗](https://aclanthology.org/2022.coling-1.206/)**Viet Dac Lai, Amir Pouran Ben Veyseh, Minh Van Nguyen et al.
374. **[MICO: Selective Search with Mutual Information Co-training ↗](https://aclanthology.org/2022.coling-1.102/)**Zhanyu Wang, Xiao Zhang, Hyokun Yun et al.
375. **[Machine Reading, Fast and Slow: When Do Models “Understand” Language? ↗](https://aclanthology.org/2022.coling-1.8/)**Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein
376. **[Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks ↗](https://aclanthology.org/2022.coling-1.615/)**Xin Zhou, Ruotian Ma, Yicheng Zou et al.
377. **[MaxMatch-Dropout: Subword Regularization for WordPiece ↗](https://aclanthology.org/2022.coling-1.430/)**Tatsuya Hiraoka
378. **[Measuring Geographic Performance Disparities of Offensive Language Classifiers ↗](https://aclanthology.org/2022.coling-1.574/)**Brandon Lwowski, Paul Rad, Anthony Rios
379. **[Measuring Morphological Fusion Using Partial Information Decomposition ↗](https://aclanthology.org/2022.coling-1.5/)**Michaela Socolof, Jacob Louis Hoover, Richard Futrell et al.
380. **[Measuring Robustness for NLP ↗](https://aclanthology.org/2022.coling-1.343/)**Yu Yu, Abdul Rafae Khan, Jia Xu
381. **[MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction ↗](https://aclanthology.org/2022.coling-1.198/)**Saadullah Amin, Pasquale Minervini, David Chang et al.
382. **[Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision ↗](https://aclanthology.org/2022.coling-1.241/)**Khalil Mrini, Harpreet Singh, Franck Dernoncourt et al.
383. **[Mere Contrastive Learning for Cross-Domain Sentiment Analysis ↗](https://aclanthology.org/2022.coling-1.620/)**Yun Luo, Fang Guo, Zihan Liu et al.
384. **[Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases ↗](https://aclanthology.org/2022.coling-1.533/)**Kun Zhang, Yunqi Qiu, Yuanzhuo Wang et al.
385. **[MetaPrompting: Learning to Learn Better Prompts ↗](https://aclanthology.org/2022.coling-1.287/)**Yutai Hou, Hongyuan Dong, Xinghao Wang et al.
386. **[MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification ↗](https://aclanthology.org/2022.coling-1.180/)**Kailin Zhao, Xiaolong Jin, Saiping Guan et al.
387. **[Metaphor Detection via Linguistics Enhanced Siamese Network ↗](https://aclanthology.org/2022.coling-1.364/)**Shenglong Zhang, Ying Liu
388. **[Metaphorical Polysemy Detection: Conventional Metaphor Meets Word Sense Disambiguation ↗](https://aclanthology.org/2022.coling-1.7/)**Rowan Hall Maudslay, Simone Teufel
389. **[Method Entity Extraction from Biomedical Texts ↗](https://aclanthology.org/2022.coling-1.207/)**Waqar Bin Kalim, Robert E. Mercer
390. **[Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization ↗](https://aclanthology.org/2022.coling-1.548/)**Seungone Kim, Se June Joo, Hyungjoo Chae et al.
391. **[Mining Health-related Cause-Effect Statements with High Precision at Large Scale ↗](https://aclanthology.org/2022.coling-1.167/)**Ferdinand Schlatt, Dieter Bettin, Matthias Hagen et al.
392. **[Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering ↗](https://aclanthology.org/2022.coling-1.138/)**Priyanka Sen, Alham Fikri Aji, Amir Saffari
393. **[Mitigating the Diminishing Effect of Elastic Weight Consolidation ↗](https://aclanthology.org/2022.coling-1.403/)**Canasai Kruengkrai, Junichi Yamagishi
394. **[MockingBERT: A Method for Retroactively Adding Resilience to NLP Models ↗](https://aclanthology.org/2022.coling-1.411/)**Jan Jezabek, Akash Singh
395. **[Modeling Aspect Correlation for Aspect-based Sentiment Analysis via Recurrent Inverse Learning Guidance ↗](https://aclanthology.org/2022.coling-1.599/)**Longfeng Li, Haifeng Sun, Qi Qi et al.
396. **[Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension ↗](https://aclanthology.org/2022.coling-1.126/)**Jialin Chen, Zhuosheng Zhang, Hai Zhao
397. **[Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis ↗](https://aclanthology.org/2022.coling-1.622/)**Zijie Lin, Bin Liang, Yunfei Long et al.
398. **[Modelling Commonsense Properties Using Pre-Trained Bi-Encoders ↗](https://aclanthology.org/2022.coling-1.349/)**Amit Gajbhiye, Luis Espinosa-Anke, Steven Schockaert
399. **[Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC ↗](https://aclanthology.org/2022.coling-1.353/)**Christian Chiarcos, Elena-Simona Apostol, Besim Kabashi et al.
400. **[MonoByte: A Pool of Monolingual Byte-level Language Models ↗](https://aclanthology.org/2022.coling-1.309/)**Hugo Abonizio, Leandro Rodrigues de Souza, Roberto Lotufo et al.

[← prev](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/3/) [1](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/) [2](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/2/) [3](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/3/) **4** [5](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/5/) [6](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/6/) [7](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/7/) [next →](https://md.research.elamur.ai/free/en/venues/coling/2022/papers/page/5/)

- [← back to](https://md.research.elamur.ai/free/en/venues/coling/2022/) — COLING 2022