刊讯｜SSCI 期刊《计算语言学协会学报》2023年11卷

TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS

Volume 11, January 1 2023

Transactions of the Association for Computational Linguistics（SSCI一区，2022 IF：10.9，排名：1/194）2023年11卷共发文96篇，均为研究性论文。研究论文涉及开放问答系统、自然语言推理稳健性评价、文体特征、交互式信息检索对话、视觉写作提示、语言模型中的语言泛化、句子可读性水平释义、语言认知科学百年发展述评、论期待对阅读时间的影响等。欢迎转发扩散！（2023年已更完）

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刊讯｜SSCI 期刊《计算语言学协会学报》2022年第10卷

目录

ARTICLES

■ Expectations over Unspoken Alternatives Predict Pragmatic Inferences, by Jennifer Hu, Roger Levy, Judith Degen, Sebastian Schuster

■ DMDD: A Large-Scale Dataset for Dataset Mentions Detection, by Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Lateckit

■ Sub-Character Tokenization for Chinese Pretrained Language Models, by Chenglei Si, Zhengyan Zhang, Yingfa Chen, Fanchao Qi, Xiaozhi Wang, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun

■ Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery, by Tao Feng, Lizhen Qu, Gholamreza Haffari

■ U-CORE: A Unified Deep Cluster-wise Contrastive Framework for Open Relation Extraction, by Jie Zhou, Shenpo Dong, Yunxin Huang, Meihan Wu, Haili Li, Jingnan Wang, Hongkui Tu, Xiaodong Wang

■ Visual Spatial Reasoning, by Fangyu Liu, Guy Emerson, Nigel Collier

■ Translate-and-Test Transfer Learning for Cross-Lingual Text Classification, by Inigo Jauregi Unanue, Gholamreza Haffari, Massimo Piccardi

■ Hallucinations in Large Multilingual Translation Models, by Nuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, Barry Haddow, Alexandra Birch, Pierre Colombo, André F.T. Martins

■ On Graph-based Reentrancy-free Semantic Parsing, by Alban Petit, Caio Corro

■ Transparency Helps Reveal When Language Models Learn Meaning, by Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah Smith

■ Data-driven Parsing Evaluation for Child-Parent Interactions, by Zoey Liu, Emily Prud'hommeaux

■ Multilingual Coreference Resolution in Multiparty Dialogue: Multilingual Coreference Resolution in Multiparty Dialogue, by Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, Benjamin Van Durme

■ Benchmarking the Generation of Fact Checking Explanations, by Daniel Russo, Serra Sinem Tekiroglu, Marco Guerini

■ Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems, by Songbo Hu, Han Zhou, Mete Hergul, Milan Gritta, Guchun Zhang, Ignacio Iacobacci, Ivan Vulić, Anna Korhonen

■ Abstractive Meeting Summarization: A Survey, by Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis

■ Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions, by Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang

■ MENLI: Robust Evaluation Metrics from Natural Language Inference, by Yanran Chen, Steffen Eger

■ Can Authorship Representation Learning Capture Stylistic Features?, by Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael Rivera-Soto, Marcus Bishop, Nicholas Oliver Andrews

■ Conditional Generation with a Question-Answering Blueprint, by Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Anders Sandholm, Dipanjan Das, Mirella Lapata

■ Testing the Predictions of Surprisal Theory in 11 Languages, by Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, Roger Levy

■ INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions, by Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi

■ Evaluating Transformer Models and Human Behaviors on Chinese Character Naming, by Xiaomeng Ma, Lingyu Gao

■ ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation, by Zhengxuan Wu, Christopher Manning, Christopher Potts

■ MACSum: Controllable Summarization with Mixed Attributes, by Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang

■ QAmeleon: Multilingual QA with Only 5 Examples, by Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata

■ MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages, by Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso Hermelo, Xiaoguang Li, Qun Liu, Mehdi Rezagholizadeh, Jimmy Lin

■ Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training, by Biru Zhu, Ganqu Cui, Yangyi Chen, Yujia Qin, Lifan Yuan, Chong Fu, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu

■ Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences, by Xudong Hong, Asad Sayeed, Khushboo Mehra, Vera Demberg, Bernt Schiele

■ OpenFact: Factuality Enhanced Open Knowledge Extraction, by Linfeng Song, Ante Wang, Xiaoman Pan, Hongming Zhang, Dian Yu, Lifeng Jin, Haitao Mi, Jinsong Su, Yue Zhang, Dong Yu

■ Improving Multitask Retrieval by Promoting Task Specialization, by Wenzheng Zhang, Chenyan Xiong, Karl Stratos, Arnold Overwijk

■ Naturalistic Causal Probing for Morpho-Syntax, by Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell

■ How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN, by Richard Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz

■ Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues, by Wentao Deng, Jiahuan Pei, Zhaochun Ren, Zhumin Chen, Pengjie Ren

■ FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation, by Parker Riley, Timothy Dozat, Jan A Botha, Xavier Garcia, Dan Garrette, Jason Riesa, Orhan Firat, Noah Constant

■ Learning to Paraphrase Sentences to Different Complexity Levels, by Alison Hanyi Chi, Li-Kuang Chen, Yi-Chen Chang, Shu-Hui Lee, Jason S. Chang

■ On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method, by Zorik Gekhman, Nadav Oved, Orgad Keller, Idan Szpektor, Roi Reichart

■ Evaluating a Century of Progress on the Cognitive Science of Adjective Ordering, by William Dyer, Charles J. Torres, Gregory Scontras, Richard Futrell

■ PaniniQA: Enhancing Patient Education Through Interactive Question Answering, by Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu

■ How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure, by Michael Wilson, Jackson Petty, Robert Frank

■ Shared Lexical Items as Triggers of Code Switching, by Shuly Wintner, Safaa Shehadi, Yuli Zeira, Doreen Osmelak, Yuval Nov

■ On the Effect of Anticipation on Reading Times, by Tiago Pimentel, Clara Meister, Ethan G. Wilcox, Roger Levy, Ryan Cotterell

■ General then Personal: Decoupling and Pre-training for Personalized Headline Generation, by Yun-Zhu Song, Yi-Syuan Chen, Lu Wang, Hong-Han Shuai

■ Compositional Zero-Shot Domain Transfer with Text-to-Text Models, by Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L Hyland

■ Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation, by Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Martins, Amanda Bertsch, José Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André Martins

■ A Cross-Linguistic Pressure for Uniform Information Density in Word Order, by Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, Michael Hahn, Ryan Cotterell, Richard Futrell, Roger Levy

■ In-Context Retrieval-Augmented Language Models, by Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham

■ Supervised Gradual Machine Learning for Aspect-Term Sentiment Analysis, by Yanyan Wang, Qun Chen, Murtadha Ahmed, Zhaoqiang Chen, Jing Su, Wei Pan, Zhanhuai Li

■ Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing, by Tom Sherborne, Mirella Lapata, Tom Hosking

■ Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing, by Han He, Jinho D. Choi

■ AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR, by Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli, Chris Chinenye Emezue, Sahib Singh, Bonaventure F.P. Dossou, Joanne Osuchukwu, Salomey Osei, Atnafu Lambebo Tonja, Naome Etori, Clinton Mbataku

■ Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection, by Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna Martindale, Marine Carpuat

■ Chinese Idiom Paraphrasing, by Jipeng Qiang, Yang Li, Chaowei Zhang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu

■ Calibrated Interpretation: Confidence Estimation in Semantic Parsing, by Elias Stengel-Eskin, Benjamin Van Durme

■ The Parallelism Tradeoff: Limitations of Log-Precision Transformers, by William Cooper Merrill, Ashish Sabharwal

■ Rank-Aware Negative Training for Semi-Supervised Text Classification, by Murtadha Ahmed, Shengfeng Pan, Wen Po, Jianlin Su, Xinxin Cao, Wenze Zhang, Yunfeng Liu

■ An Efficient Self-Supervised Cross-View Training For Sentence Embedding, by peerat limkonchotiwat, Wuttikorn Ponwitayarat, Lalita Lowphansirikul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong

■ Tracking Brand-Associated Polarity-Bearing Topics in User Reviews, by Runcong Zhao, Lin Gui, Hanqi Yan, Yulan He

■ PASTA: A Dataset for Modeling PArticipant STAtes in Narratives, by Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian

■ DEIM Discover, Explain, Improve: An Automatic Slice Detection Benchmark for Natural Language Processing, by Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu

■ Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing, by William Brannon, Yogesh Virkar, Brian Thompson

■ Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off", by Yuchen Lian, Arianna Bisazza, Tessa Verhoef

■ T2-NER: A Two-Stage Span-based Framework For Unified Named Entity Recognition with Templates, by Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao

■ Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation, by Fei Huang, Pei Ke, Minlie Huang

■ Direct Speech Translation for Automatic Subtitling, by Sara Papi, Marco Gaido, Alina Karakanta, Mauro Cettolo, Matteo Negri, Marco Turchi

■ Reasoning over Public and Private Data in Retrieval-Based Systems, by Simran Arora, Patrick Lewis, Angela Fan, Jacob Kahn, Christopher Ré

■ Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations, by Jintao Wen, Geng Tu, Rui Li, Dazhi Jiang, Wenhua Zhu

■ Questions Are All You Need to Train a Dense Passage Retriever, by Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer

■ Erasure of Unaligned Attributes from Neural Representations, by Shun Shao, Yftah Ziser, Shay Cohen

■ Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems, by Peng Liu, Lemei Zhang, Jon Atle Gulla

■ Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval, by Sheng-Chieh Lin, Minghan Li, Jimmy Lin

■ Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design, by Valentina Pyatkin, Frances Yung, Merel C.J. Scholman, Ido Dagan, Reut Tsarfaty, Vera Demberg

■ MissModal: Increasing Robustness to Missing Modality in Multimodal Sentiment Analysis, by Ronghao Lin, Haifeng Hu

■ Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing, by Yilin Niu, Fei Huang, Minlie Huang

■ Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks, by Jordan Meadows, Andre Freitas

■ Efficient Methods for Natural Language Processing: A Survey, by Marcos Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André Filipe Torres Martins, Peter Milder, Colin Raffel, Jessica Zosa Forde, Emma Strubell, Edwin Simpson, Noam Slonim, Jesse Dodge, Iryna Gurevych, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz

■ Collective Human Opinions in Semantic Textual Similarity, by Wang Yuxia, Shimin Tao, Ning Xie, Hao Yang, Karin Verspoor, Timothy Baldwin

■ Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering., by Shamane Siriwardhana, Rivindu Weerasekera, Tharindu Kaluarachchi, Elliott Wen, Rajib Rana, Suranga Nanayakkara

■ Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement, by Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé

■ On the Role of Negative Precedent in Legal Outcome Prediction, by Josef Valvoda, Ryan Cotterell, Simone Teufel

■ Meta-Learning a Cross-lingual Manifold for Semantic Parsing, by Tom Sherborne, Mirella Lapata

■ OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue, by Zhi Chen, Yuncong Liu, Lu Chen, Su Zhu, Mengyue Wu, Kai Yu

■ Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation, by Llion Jones, Richard Sproat, Haruko Ishikawa, Alexander Gutkin

■ Locally Typical Sampling, by Clara Isabel Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell

■ Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization, by Thomas Effland, Michael Collins

■ Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation, by Olga Majewska, Evgeniia Razumovskaia, Edoardo Maria Ponti, Ivan Vulić, Anna Korhonen

■ Modelling Emotion Dynamics in Song Lyrics with State Space Models, by Yingjin Song, Daniel Beck

■ FeelingBlue: A Corpus for Understanding the Emotional Connotation of Color in Context, by Amith Ananthram, Olivia Winn, Smaranda Muresan

■ An Empirical Survey of Data Augmentation for Limited Data Learning in NLP, by Jiaao Chen, Derek Tam, Colin Raffel, Mohit Bansal, Diyi Yang

■ Coreference Resolution through a seq2seq Transition-Based System, by Bernd Bohnet, Chris Alberti, Michael Collins

■ Generative Spoken Dialogue Language Modeling, by Tu Anh Nguyen, Eugene Kharitonov, Jade Copet, Yossi Adi, Wei-Ning Hsu, Ali Elkahky, Paden Tomasello, Robin Algayres, Benoit Sagot, Abdelrahman Mohamed, Emmanuel Dupoux

■ Transformers for Tabular Data Representation: A Survey of Models and Applications, by Gilbert Badaro, Paolo Papotti, Mohammed Saeed

■ Discontinuous Combinatory Constituency Parsing, by Zhousi Chen, Mamoru Komachi

■ Efficient Long-Text Understanding with Short-Text Models, by Maor Ivgi, Uri Shaham, Jonathan Berant

■ Hate Speech Classifiers Learn Normative Social Stereotypes, by Aida Mostafazadeh Davani, Mohammad Atari, Brendan Kennedy, Morteza Dehghani

■ Domain-Specific Word Embeddings with Structure Prediction, by David Lassner, Stephanie Brandl, Anne Baillot, Shinichi Nakajima

■ Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?, by Byung-Doh Oh, William Schuler

期刊简介

Transactions of the Association for Computational Linguistics (TACL) is an ACL-sponsored journal published by MIT Press that publishes papers in all areas of computational linguistics and natural language processing. TACL has the following features: 计算机语言学协会学报（TACL）是由麻省理工学院出版社出版的ACL赞助期刊，发表计算语言学和自然语言处理所有领域的论文。TACL具有以下特点：

1.TACL publishes conference-length papers, but has a journal-style reviewing process (for example, the option for an action editor to recommend the “revise and resubmit” category for a paper).TACL发表会议长度的论文，但具有期刊式的审阅过程（例如，行动编辑可以选择为论文推荐“修改并重新提交”类别）。

2.Papers appearing at TACL are eligible for a presentation at certain ACL-sponsored conferences. Thus the model combines the benefits of a journal, with the benefits of being able to present the work at a major conference. (Presentation is optional; authors do not have to present their papers at the conference).因此，该模型结合了期刊的优势，以及能够在主要会议上展示工作成果的优势。（演讲是可选的;作者不必在会议上发表论文）.

3.TACL accepts submissions all year (the 1st day of each month is a submission deadline).TACL全年接受投稿（每个月的第一天是投稿截止日期）.

4.TACL is committed to fast-turnaround reviewing.（TACL致力于快速周转审稿）

官网地址：

https://direct.mit.edu/tacl

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