Fetching the paper…
Reading the bibliography…
In this work, we measure the impact of affixal negation on modern English large language models (LLMs).
RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
A new algorithm for data compression
Philip Gage. 1994 · 1994
Earlier work this paper cites.
WordNet: a lexical database for English
George A Miller. 1995 · 1995
Earlier work this paper cites.
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Bo Pang and Lillian Lee. 2005 · 2005
Earlier work this paper cites.
SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining
Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2010 · 2010
Earlier work this paper cites.
A survey on the role of negation in sentiment analysis
Michael Wiegand, Alexandra Balahur, Benjamin Roth, Dietrich Klakow, and Andrés Montoyo. 2010 · 2010
Earlier work this paper cites.
Some issues on detecting negation from text
Eduardo Blanco and Dan Moldovan. 2011 · 2011
Earlier work this paper cites.
Affixal negation–direct, indirect and their subtypes 1
Shrikant Joshi. 2012 · 2012
Earlier work this paper cites.
Biolemmatizer: a lemmatization tool for morphological processing of biomedical text
Haibin Liu, Tom Christiansen, William A Baumgartner, and Karin Verspoor. 2012 · 2012
Earlier work this paper cites.
Japanese and korean voice search
Mike Schuster and Kaisuke Nakajima. 2012 · 2012
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
Earlier work this paper cites.
Morfessor FlatCat: An HMM-based method for unsupervised and semi-supervised learning of morphology
Stig-Arne Grönroos, Sami Virpioja, Peter Smit, and Mikko Kurimo. 2014 · 2014
Earlier work this paper cites.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Earlier work this paper cites.
Building a dictionary of affixal negations
Chantal van Son, Emiel van Miltenburg, and Roser Morante. 2016 · 2016
Earlier work this paper cites.
Axiomatic attribution for deep networks
Mukund Sundararajan, Ankur Taly, and Qiqi Yan. 2017 · 2017
Cited alongside, same era.
Subword regularization: Improving neural network translation models with multiple subword candidates
Taku Kudo. 2018 · 2018
Cited alongside, same era.
SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
How much does tokenization affect neural machine translation?
Miguel Domingo, Mercedes García-Martínez, Alexandre Helle, Francisco Casacuberta, and Manuel Herranz. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
The effectiveness of morphology-aware segmentation in low-resource neural machine translation
Jonne Saleva and Constantine Lignos. 2021 · 2021
Later among the works it cites.
The SIGMORPHON 2022 shared task on morpheme segmentation
Khuyagbaatar Batsuren, Gábor Bella, Aryaman Arora, Viktor Martinovic, Kyle Gorman, Zdeněk Žabokrtský, Amarsanaa Ganbold, Šárka Dohnalová, Magda Ševčíková, Kateřina Pelegrinová, Fausto Giunchiglia, Ryan Cotterell, and Ekaterina Vylomova. 2022 · 2022
Later among the works it cites.
Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
Later among the works it cites.
Interpreting gradable adjectives: rational reasoning or simple heuristics?
Alexandre Cremers. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
XLNet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 2019
Cited alongside, same era.
Byte pair encoding is suboptimal for language model pretraining
Kaj Bostrom and Greg Durrett. 2020 · 2020
Cited alongside, same era.
ELECTRA: pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020 · 2020
Cited alongside, same era.
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger. 2020 · 2020
Cited alongside, same era.
Morfessor EM+Prune: Improved subword segmentation with expectation maximization and pruning
Stig-Arne Grönroos, Sami Virpioja, and Mikko Kurimo. 2020 · 2020
Cited alongside, same era.
An analysis of natural language inference benchmarks through the lens of negation
Md Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, Tiffany Kao, Elizabeth Wei, and Eduardo Blanco. 2020 · 2020
Cited alongside, same era.
An analysis of negation in natural language understanding corpora
Md Mosharaf Hossain, Dhivya Chinnappa, and Eduardo Blanco. 2022 · 2022
Later among the works it cites.
CONDAQA: A contrastive reading comprehension dataset for reasoning about negation
Abhilasha Ravichander, Matt Gardner, and Ana Marasovic. 2022 · 2022
Later among the works it cites.
Not another negation benchmark: The NaN-NLI test suite for sub-clausal negation
Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Han Lau, and Karin Verspoor. 2022 · 2022
Later among the works it cites.
OpenAI. 2023 · 2023
Later among the works it cites.
Inseq: An interpretability toolkit for sequence generation models
Gabriele Sarti, Nils Feldhus, Ludwig Sickert, and Oskar van der Wal. 2023 · 2023
Later among the works it cites.
ScoNe: Benchmarking negation reasoning in language models with fine-tuning and in-context learning
Jingyuan S. She, Christopher Potts, Samuel R. Bowman, and Atticus Geiger. 2023 · 2023
Later among the works it cites.
Linear representations of sentiment in large language models
Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, and Neel Nanda. 2023 · 2023
Later among the works it cites.
LLaMA 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
Later among the works it cites.
Language models are not naysayers: an analysis of language models on negation benchmarks
Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, and Trevor Cohn. 2023 · 2023
Later among the works it cites.