Search Results for author: Diyi Yang

Found 67 papers, 35 papers with code

“This is a Problem, Don’t You Agree?” Framing and Bias in Human Evaluation for Natural Language Generation

no code implementations ACL (EvalNLGEval, INLG) 2020 Stephanie Schoch, Diyi Yang, Yangfeng Ji

Despite recent efforts reviewing current human evaluation practices for natural language generation (NLG) research, the lack of reported question wording and potential for framing effects or cognitive biases influencing results has been widely overlooked.

Text Generation

Learning with Limited Text Data

no code implementations ACL 2022 Diyi Yang, Ankur Parikh, Colin Raffel

Natural Language Processing (NLP) has achieved great progress in the past decade on the basis of neural models, which often make use of large amounts of labeled data to achieve state-of-the-art performance.

Data Augmentation Natural Language Processing +2

DMix: Adaptive Distance-aware Interpolative Mixup

no code implementations ACL 2022 Ramit Sawhney, Megh Thakkar, Shrey Pandit, Ritesh Soun, Di Jin, Diyi Yang, Lucie Flek

Interpolation-based regularisation methods such as Mixup, which generate virtual training samples, have proven to be effective for various tasks and modalities. We extend Mixup and propose DMix, an adaptive distance-aware interpolative Mixup that selects samples based on their diversity in the embedding space.

Data Augmentation Sentence Classification

Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization

no code implementations Findings (ACL) 2022 Kexun Zhang, Jiaao Chen, Diyi Yang

Automatic email to-do item generation is the task of generating to-do items from a given email to help people overview emails and schedule daily work.

WIKIBIAS: Detecting Multi-Span Subjective Biases in Language

1 code implementation Findings (EMNLP) 2021 Yang Zhong, Jingfeng Yang, Wei Xu, Diyi Yang

Biases continue to be prevalent in modern text and media, especially subjective bias – a special type of bias that introduces improper attitudes or presents a statement with the presupposition of truth.

Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization

1 code implementation EMNLP 2021 Jiaao Chen, Diyi Yang

Abstractive conversation summarization has received growing attention while most current state-of-the-art summarization models heavily rely on human-annotated summaries.

Abstractive Dialogue Summarization Data Augmentation

HypMix: Hyperbolic Interpolative Data Augmentation

1 code implementation EMNLP 2021 Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek

Interpolation-based regularisation methods for data augmentation have proven to be effective for various tasks and modalities.

Adversarial Robustness Data Augmentation

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

1 code implementation9 Jun 2022 Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew Dai, Andrew La, Andrew Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, César Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodola, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocoń, Jana Thompson, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Şenel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramírez Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramón Risco Delgado, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima, Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Timothy Telleen-Lawton, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, ZiRui Wang, Ziyi Wu

BIG-bench focuses on tasks that are believed to be beyond the capabilities of current language models.

Common Sense Reasoning

SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models

no code implementations15 May 2022 Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang

SeqZero achieves SOTA performance of BART-based models on GeoQuery and EcommerceQuery, which are two few-shot datasets with compositional data split.

Out-of-Distribution Generalization Pretrained Language Models +1

SUBS: Subtree Substitution for Compositional Semantic Parsing

1 code implementation3 May 2022 Jingfeng Yang, Le Zhang, Diyi Yang

Although sequence-to-sequence models often achieve good performance in semantic parsing for i. i. d.

Data Augmentation Semantic Parsing

Inducing Positive Perspectives with Text Reframing

1 code implementation ACL 2022 Caleb Ziems, Minzhi Li, Anthony Zhang, Diyi Yang

Sentiment transfer is one popular example of a text style transfer task, where the goal is to reverse the sentiment polarity of a text.

Style Transfer Text Style Transfer

VALUE: Understanding Dialect Disparity in NLU

no code implementations ACL 2022 Caleb Ziems, Jiaao Chen, Camille Harris, Jessica Anderson, Diyi Yang

To understand disparities in current models and to facilitate more dialect-competent NLU systems, we introduce the VernAcular Language Understanding Evaluation (VALUE) benchmark, a challenging variant of GLUE that we created with a set of lexical and morphosyntactic transformation rules.

Linguistic Acceptability Natural Language Understanding

The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems

1 code implementation ACL 2022 Caleb Ziems, Jane A. Yu, Yi-Chia Wang, Alon Halevy, Diyi Yang

In this work, we introduce a new resource, not to authoritatively resolve moral ambiguities, but instead to facilitate systematic understanding of the intuitions, values and moral judgments reflected in the utterances of dialogue systems.

Continual Sequence Generation with Adaptive Compositional Modules

1 code implementation ACL 2022 Yanzhe Zhang, Xuezhi Wang, Diyi Yang

Continual learning is essential for real-world deployment when there is a need to quickly adapt the model to new tasks without forgetting knowledge of old tasks.

Continual Learning Transfer Learning

Measure and Improve Robustness in NLP Models: A Survey

no code implementations15 Dec 2021 Xuezhi Wang, Haohan Wang, Diyi Yang

Despite robustness being an increasingly studied topic, it has been separately explored in applications like vision and NLP, with various definitions, evaluation and mitigation strategies in multiple lines of research.

Interpreting Deep Learning Models in Natural Language Processing: A Review

no code implementations20 Oct 2021 Xiaofei Sun, Diyi Yang, Xiaoya Li, Tianwei Zhang, Yuxian Meng, Han Qiu, Guoyin Wang, Eduard Hovy, Jiwei Li

Neural network models have achieved state-of-the-art performances in a wide range of natural language processing (NLP) tasks.

Natural Language Processing

Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models

1 code implementation14 Oct 2021 Tianlu Wang, Rohit Sridhar, Diyi Yang, Xuezhi Wang

Recently, NLP models have achieved remarkable progress across a variety of tasks; however, they have also been criticized for being not robust.

GNN is a Counter? Revisiting GNN for Question Answering

no code implementations ICLR 2022 Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin

To open the black box of GNN and investigate these problems, we dissect state-of-the-art GNN modules for QA and analyze their reasoning capability.

Knowledge Graphs Question Answering

Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework

1 code implementation27 Sep 2021 Matan Halevy, Camille Harris, Amy Bruckman, Diyi Yang, Ayanna Howard

While previous work has focused on a single fairness criteria, we propose to use additional descriptive fairness metrics to better understand the source of these biases.

Fairness

Semantic Categorization of Social Knowledge for Commonsense Question Answering

1 code implementation EMNLP (sustainlp) 2021 Gengyu Wang, Xiaochen Hou, Diyi Yang, Kathleen McKeown, Jing Huang

Large pre-trained language models (PLMs) have led to great success on various commonsense question answering (QA) tasks in an end-to-end fashion.

Question Answering

A Search Engine for Discovery of Scientific Challenges and Directions

1 code implementation NeurIPS Workshop AI4Scien 2021 Dan Lahav, Jon Saad Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope

To address this problem, we present a novel task of extraction and search of scientific challenges and directions, to facilitate rapid knowledge discovery.

Linguistic Characterization of Divisive Topics Online: Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control

no code implementations30 Aug 2021 Jacob Beel, Tong Xiang, Sandeep Soni, Diyi Yang

As public discourse continues to move and grow online, conversations about divisive topics on social media platforms have also increased.

Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes

no code implementations15 Jun 2021 Austin P Wright, Caleb Ziems, Haekyu Park, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang, Maria Tomprou

As job markets worldwide have become more competitive and applicant selection criteria have become more opaque, and different (and sometimes contradictory) information and advice is available for job seekers wishing to progress in their careers, it has never been more difficult to determine which factors in a r\'esum\'e most effectively help career progression.

Natural Language Processing

An Empirical Survey of Data Augmentation for Limited Data Learning in NLP

no code implementations14 Jun 2021 Jiaao Chen, Derek Tam, Colin Raffel, Mohit Bansal, Diyi Yang

NLP has achieved great progress in the past decade through the use of neural models and large labeled datasets.

Data Augmentation News Classification

Personalized Response Generation via Generative Split Memory Network

1 code implementation NAACL 2021 Yuwei Wu, Xuezhe Ma, Diyi Yang

Despite the impressive successes of generation and dialogue systems, how to endow a text generation system with particular personality traits to deliver more personalized responses remains under-investigated.

Response Generation Text Generation

The Importance of Modeling Social Factors of Language: Theory and Practice

no code implementations NAACL 2021 Dirk Hovy, Diyi Yang

We show that current NLP systems systematically break down when faced with interpreting the social factors of language.

Natural Language Processing

RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization

no code implementations8 Feb 2021 Austin P Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang

With the widespread use of toxic language online, platforms are increasingly using automated systems that leverage advances in natural language processing to automatically flag and remove toxic comments.

Natural Language Processing

Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests

1 code implementation16 Jan 2021 Jiaao Chen, Diyi Yang

Modeling persuasive language has the potential to better facilitate our decision-making processes.

Decision Making

Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media

no code implementations SCiL 2021 Ian Stewart, Diyi Yang, Jacob Eisenstein

In social media, we find that speaker background and expectations of formality explain loanword and native word integration, such that authors who use more Spanish and who write to a wider audience tend to use integrated verb forms more often.

Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization

1 code implementation Findings of the Association for Computational Linguistics 2020 Kunal Chawla, Diyi Yang

Formality style transfer is the task of converting informal sentences to grammatically-correct formal sentences, which can be used to improve performance of many downstream NLP tasks.

Language Modelling Style Transfer +2

Examining the Ordering of Rhetorical Strategies in Persuasive Requests

1 code implementation Findings of the Association for Computational Linguistics 2020 Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang

We find that specific (orderings of) strategies interact uniquely with a request's content to impact success rate, and thus the persuasiveness of a request.

Local Additivity Based Data Augmentation for Semi-supervised NER

1 code implementation EMNLP 2020 Jiaao Chen, Zhenghui Wang, Ran Tian, Zichao Yang, Diyi Yang

Named Entity Recognition (NER) is one of the first stages in deep language understanding yet current NER models heavily rely on human-annotated data.

Data Augmentation named-entity-recognition +1

Evaluating Graph Vulnerability and Robustness using TIGER

1 code implementation10 Jun 2020 Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau

By democratizing the tools required to study network robustness, our goal is to assist researchers and practitioners in analyzing their own networks; and facilitate the development of new research in the field.

Racism is a Virus: Anti-Asian Hate and Counterspeech in Social Media during the COVID-19 Crisis

no code implementations25 May 2020 Bing He, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, Srijan Kumar

The spread of COVID-19 has sparked racism and hate on social media targeted towards Asian communities.

ToTTo: A Controlled Table-To-Text Generation Dataset

1 code implementation EMNLP 2020 Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das

We present ToTTo, an open-domain English table-to-text dataset with over 120, 000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.

Conditional Text Generation Data-to-Text Generation +1

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

2 code implementations ACL 2020 Jiaao Chen, Zichao Yang, Diyi Yang

This paper presents MixText, a semi-supervised learning method for text classification, which uses our newly designed data augmentation method called TMix.

Data Augmentation General Classification +2

Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses

1 code implementation23 Apr 2020 Jiaao Chen, Yuwei Wu, Diyi Yang

We present semi-supervised models with data augmentation (SMDA), a semi-supervised text classification system to classify interactive affective responses.

Data Augmentation Semi Supervised Text Classification +2

RECAST: Interactive Auditing of Automatic Toxicity Detection Models

no code implementations7 Jan 2020 Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau

As toxic language becomes nearly pervasive online, there has been increasing interest in leveraging the advancements in natural language processing (NLP), from very large transformer models to automatically detecting and removing toxic comments.

Adversarial Robustness Fairness +1

Automatically Neutralizing Subjective Bias in Text

1 code implementation21 Nov 2019 Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang

To address this issue, we introduce a novel testbed for natural language generation: automatically bringing inappropriately subjective text into a neutral point of view ("neutralizing" biased text).

Text Generation

Characterizing Collective Attention via Descriptor Context: A Case Study of Public Discussions of Crisis Events

1 code implementation19 Sep 2019 Ian Stewart, Diyi Yang, Jacob Eisenstein

But according to rationalist models of natural language communication, the collective salience of each entity will be expressed not only in how often it is mentioned, but in the form that those mentions take.

Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms

no code implementations NAACL 2019 Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, Eduard Hovy

Modeling what makes a request persuasive - eliciting the desired response from a reader - is critical to the study of propaganda, behavioral economics, and advertising.

Identifying Semantic Edit Intentions from Revisions in Wikipedia

no code implementations EMNLP 2017 Diyi Yang, Aaron Halfaker, Robert Kraut, Eduard Hovy

Most studies on human editing focus merely on syntactic revision operations, failing to capture the intentions behind revision changes, which are essential for facilitating the single and collaborative writing process.

Information Retrieval Lexical Simplification +2

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