Search Results for author: Benno Stein

Found 72 papers, 20 papers with code

Identifying the Human Values behind Arguments

1 code implementation ACL 2022 Johannes Kiesel, Milad Alshomary, Nicolas Handke, Xiaoni Cai, Henning Wachsmuth, Benno Stein

First experiments with the automatic classification of human values are promising, with F_1-scores up to 0. 81 and 0. 25 on average.

Argument Mining

Language Models as Context-sensitive Word Search Engines

1 code implementation In2Writing (ACL) 2022 Matti Wiegmann, Michael Völske, Benno Stein, Martin Potthast

Context-sensitive word search engines are writing assistants that support word choice, phrasing, and idiomatic language use by indexing large-scale n-gram collections and implementing a wildcard search.

Language Modelling

Task Proposal: Abstractive Snippet Generation for Web Pages

no code implementations INLG (ACL) 2020 Shahbaz Syed, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, Martin Potthast

We propose a shared task on abstractive snippet generation for web pages, a novel task of generating query-biased abstractive summaries for documents that are to be shown on a search results page.

Abstractive Text Summarization

Image Retrieval for Arguments Using Stance-Aware Query Expansion

no code implementations EMNLP (ArgMining) 2021 Johannes Kiesel, Nico Reichenbach, Benno Stein, Martin Potthast

Many forms of argumentation employ images as persuasive means, but research in argument mining has been focused on verbal argumentation so far.

Argument Mining Argument Retrieval +1

Persuasiveness of News Editorials depending on Ideology and Personality

no code implementations COLING (PEOPLES) 2020 Roxanne El Baff, Khalid Al Khatib, Benno Stein, Henning Wachsmuth

News editorials aim to shape the opinions of their readership and the general public on timely controversial issues.

Style Analysis of Argumentative Texts by Mining Rhetorical Devices

no code implementations COLING (ArgMining) 2020 Khalid Al Khatib, Viorel Morari, Benno Stein

To this end, we developed and evaluated a grammar-based approach for identifying 26 syntax-based devices.

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

STEREO: Scientific Text Reuse in Open Access Publications

1 code implementation22 Dec 2021 Lukas Gienapp, Wolfgang Kircheis, Bjarne Sievers, Benno Stein, Martin Potthast

We present the Webis-STEREO-21 dataset, a massive collection of Scientific Text Reuse in Open-access publications.

FastWARC: Optimizing Large-Scale Web Archive Analytics

1 code implementation22 Nov 2021 Janek Bevendorff, Martin Potthast, Benno Stein

Web search and other large-scale web data analytics rely on processing archives of web pages stored in a standardized and efficient format.

The Impact of Main Content Extraction on Near-Duplicate Detection

no code implementations21 Nov 2021 Maik Fröbe, Matthias Hagen, Janek Bevendorff, Michael Völske, Benno Stein, Christopher Schröder, Robby Wagner, Lukas Gienapp, Martin Potthast

Commercial web search engines employ near-duplicate detection to ensure that users see each relevant result only once, albeit the underlying web crawls typically include (near-)duplicates of many web pages.

Information Retrieval

Controlled Neural Sentence-Level Reframing of News Articles

no code implementations Findings (EMNLP) 2021 Wei-Fan Chen, Khalid Al-Khatib, Benno Stein, Henning Wachsmuth

Reframing is related to adapting style and sentiment, which can be tackled with neural text generation techniques.

Text Generation

Employing Argumentation Knowledge Graphs for Neural Argument Generation

1 code implementation ACL 2021 Khalid Al Khatib, Lukas Trautner, Henning Wachsmuth, Yufang Hou, Benno Stein

Generating high-quality arguments, while being challenging, may benefit a wide range of downstream applications, such as writing assistants and argument search engines.

Knowledge Graphs Text Generation

Towards Axiomatic Explanations for Neural Ranking Models

no code implementations15 Jun 2021 Michael Völske, Alexander Bondarenko, Maik Fröbe, Matthias Hagen, Benno Stein, Jaspreet Singh, Avishek Anand

We investigate whether one can explain the behavior of neural ranking models in terms of their congruence with well understood principles of document ranking by using established theories from axiomatic IR.

Document Ranking Information Retrieval

Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity

1 code implementation EMNLP (NLP+CSS) 2020 Wei-Fan Chen, Khalid Al-Khatib, Henning Wachsmuth, Benno Stein

Media organizations bear great reponsibility because of their considerable influence on shaping beliefs and positions of our society.

Detecting Media Bias in News Articles using Gaussian Bias Distributions

1 code implementation Findings of the Association for Computational Linguistics 2020 Wei-Fan Chen, Khalid Al-Khatib, Benno Stein, Henning Wachsmuth

In particular, we utilize the probability distributions of the frequency, positions, and sequential order of lexical and informational sentence-level bias in a Gaussian Mixture Model.

Bias Detection Text Classification

Efficient Pairwise Annotation of Argument Quality

no code implementations ACL 2020 Lukas Gienapp, Benno Stein, Matthias Hagen, Martin Potthast

We present an efficient annotation framework for argument quality, a feature difficult to be measured reliably as per previous work.

Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis

no code implementations ACL 2020 Janek Bevendorff, Khalid Al Khatib, Martin Potthast, Benno Stein

This paper introduces the Webis Gmane Email Corpus 2019, the largest publicly available and fully preprocessed email corpus to date.

Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness

no code implementations ACL 2020 Khalid Al Khatib, Michael V{\"o}lske, Shahbaz Syed, Nikolay Kolyada, Benno Stein

Predicting the persuasiveness of arguments has applications as diverse as writing assistance, essay scoring, and advertising.

Analyzing the Persuasive Effect of Style in News Editorial Argumentation

no code implementations ACL 2020 Roxanne El Baff, Henning Wachsmuth, Khalid Al Khatib, Benno Stein

News editorials argue about political issues in order to challenge or reinforce the stance of readers with different ideologies.

Abstractive Snippet Generation

1 code implementation25 Feb 2020 Wei-Fan Chen, Shahbaz Syed, Benno Stein, Matthias Hagen, Martin Potthast

An abstractive snippet is an originally created piece of text to summarize a web page on a search engine results page.

Text Summarization

Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition

no code implementations WS 2019 Wei-Fan Chen, Khalid Al Khatib, Matthias Hagen, Henning Wachsmuth, Benno Stein

Many discussions on online platforms suffer from users offending others by using abusive terminology, threatening each other, or being sarcastic.

Abusive Language

Modeling Frames in Argumentation

no code implementations IJCNLP 2019 Yamen Ajjour, Milad Alshomary, Henning Wachsmuth, Benno Stein

In general, we call a set of arguments that focus on the same aspect a frame.

Towards Summarization for Social Media - Results of the TL;DR Challenge

no code implementations WS 2019 Shahbaz Syed, Michael V{\"o}lske, Nedim Lipka, Benno Stein, Hinrich Sch{\"u}tze, Martin Potthast

In this paper, we report on the results of the TL;DR challenge, discussing an extensive manual evaluation of the expected properties of a good summary based on analyzing the comments provided by human annotators.

Computational Argumentation Synthesis as a Language Modeling Task

no code implementations WS 2019 Roxanne El Baff, Henning Wachsmuth, Khalid Al Khatib, Manfred Stede, Benno Stein

Synthesis approaches in computational argumentation so far are restricted to generating claim-like argument units or short summaries of debates.

Language Modelling

Continuous Quality Control and Advanced Text Segment Annotation with WAT-SL 2.0

1 code implementation WS 2019 Christina Lohr, Johannes Kiesel, Stephanie Luther, Johannes Hellrich, Tobias Kolditz, Benno Stein, Udo Hahn

Today{'}s widely used annotation tools were designed for annotating typically short textual mentions of entities or relations, making their interface cumbersome to use for long(er) stretches of text, e. g, sentences running over several lines in a document.

Celebrity Profiling

1 code implementation ACL 2019 Matti Wiegmann, Benno Stein, Martin Potthast

Celebrities are among the most prolific users of social media, promoting their personas and rallying followers.

Gender Prediction Occupation prediction +1

Bias Analysis and Mitigation in the Evaluation of Authorship Verification

1 code implementation ACL 2019 Janek Bevendorff, Matthias Hagen, Benno Stein, Martin Potthast

The PAN series of shared tasks is well known for its continuous and high quality research in the field of digital text forensics.

Authorship Verification

Heuristic Authorship Obfuscation

1 code implementation ACL 2019 Janek Bevendorff, Martin Potthast, Matthias Hagen, Benno Stein

Authorship verification is the task of determining whether two texts were written by the same author.

Authorship Verification

Task Proposal: The TL;DR Challenge

no code implementations WS 2018 Shahbaz Syed, Michael V{\"o}lske, Martin Potthast, Nedim Lipka, Benno Stein, Hinrich Sch{\"u}tze

The TL;DR challenge fosters research in abstractive summarization of informal text, the largest and fastest-growing source of textual data on the web, which has been overlooked by summarization research so far.

Abstractive Text Summarization Information Retrieval +1

Learning to Flip the Bias of News Headlines

no code implementations WS 2018 Wei-Fan Chen, Henning Wachsmuth, Khalid Al-Khatib, Benno Stein

This paper introduces the task of {``}flipping{''} the bias of news articles: Given an article with a political bias (left or right), generate an article with the same topic but opposite bias.

Text Generation

Safe Stream-Based Programming with Refinement Types

1 code implementation9 Aug 2018 Benno Stein, Lazaro Clapp, Manu Sridharan, Bor-Yuh Evan Chang

Our key insight is that the fluent APIs of stream-processing frameworks enable the tracking of threads via type-refinement, making it possible to reason automatically about what thread a piece of code runs on -- a difficult problem in general.

Software Engineering Programming Languages

Crowdsourcing a Large Corpus of Clickbait on Twitter

no code implementations COLING 2018 Martin Potthast, Tim Gollub, Kristof Komlossy, Sebastian Schuster, Matti Wiegmann, Garces Fern, Erika Patricia ez, Matthias Hagen, Benno Stein

To address the urging task of clickbait detection, we constructed a new corpus of 38, 517 annotated Twitter tweets, the Webis Clickbait Corpus 2017.

Clickbait Detection

Modeling Deliberative Argumentation Strategies on Wikipedia

no code implementations ACL 2018 Khalid Al-Khatib, Henning Wachsmuth, Kevin Lang, Jakob Herpel, Matthias Hagen, Benno Stein

This paper studies how the argumentation strategies of participants in deliberative discussions can be supported computationally.

Heuristic Feature Selection for Clickbait Detection

no code implementations4 Feb 2018 Matti Wiegmann, Michael Völske, Benno Stein, Matthias Hagen, Martin Potthast

We study feature selection as a means to optimize the baseline clickbait detector employed at the Clickbait Challenge 2017.

Clickbait Detection Feature Engineering +2

The Impact of Modeling Overall Argumentation with Tree Kernels

no code implementations EMNLP 2017 Henning Wachsmuth, Giovanni Da San Martino, Dora Kiesel, Benno Stein

Several approaches have been proposed to model either the explicit sequential structure of an argumentative text or its implicit hierarchical structure.

General Classification Text Classification

Unit Segmentation of Argumentative Texts

1 code implementation WS 2017 Yamen Ajjour, Wei-Fan Chen, Johannes Kiesel, Henning Wachsmuth, Benno Stein

The segmentation of an argumentative text into argument units and their non-argumentative counterparts is the first step in identifying the argumentative structure of the text.

Argument Mining

TL;DR: Mining Reddit to Learn Automatic Summarization

no code implementations WS 2017 Michael V{\"o}lske, Martin Potthast, Shahbaz Syed, Benno Stein

Recent advances in automatic text summarization have used deep neural networks to generate high-quality abstractive summaries, but the performance of these models strongly depends on large amounts of suitable training data.

Abstractive Text Summarization Document Summarization

``PageRank'' for Argument Relevance

no code implementations EACL 2017 Henning Wachsmuth, Benno Stein, Yamen Ajjour

Future search engines are expected to deliver pro and con arguments in response to queries on controversial topics.

Argument Mining

A Stylometric Inquiry into Hyperpartisan and Fake News

1 code implementation ACL 2018 Martin Potthast, Johannes Kiesel, Kevin Reinartz, Janek Bevendorff, Benno Stein

The articles originated from 9 well-known political publishers, 3 each from the mainstream, the hyperpartisan left-wing, and the hyperpartisan right-wing.

Authorship Verification Fake News Detection +1

Using Argument Mining to Assess the Argumentation Quality of Essays

no code implementations COLING 2016 Henning Wachsmuth, Khalid Al-Khatib, Benno Stein

In particular, we investigate to what extent the mined structure can be leveraged to assess the argumentation quality of persuasive essays.

Argument Mining

A News Editorial Corpus for Mining Argumentation Strategies

no code implementations COLING 2016 Khalid Al-Khatib, Henning Wachsmuth, Johannes Kiesel, Matthias Hagen, Benno Stein

Many argumentative texts, and news editorials in particular, follow a specific strategy to persuade their readers of some opinion or attitude.

Argument Mining

Cross-Lingual Adaptation using Structural Correspondence Learning

2 code implementations4 Aug 2010 Peter Prettenhofer, Benno Stein

From these correspondences a cross-lingual representation is created that enables the transfer of classification knowledge from the source to the target language.

Classification Domain Adaptation +5

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