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Adjectives like pretty, beautiful and gorgeous describe positive properties of the nouns they modify but with different intensity.
oLMpics – On what Language Model Pre-training Captures
Alon Talmor, Yanai Elazar, Yoav Goldberg, and Jonathan Berant. 2019 · 1912
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The meaning-frequency relationship of words
George Kingsley Zipf. 1945 · 1945
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Adjectives in WordNet
Derek Gross and Katherine J Miller. 1990 · 1990
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Automatic Acquisition of Hyponyms from Large Text Corpora
Marti A. Hearst. 1992 · 1992
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Towards the Automatic Identification of Adjectival Scales: Clustering Adjectives According to Meaning
Vasileios Hatzivassiloglou and Kathleen R. McKeown. 1993 · 1993
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WordNet: An Electronic Lexical Database
Christiane Fellbaum, editor. 1998 · 1998
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A Primer in BERTology: What we know about how BERT works
Anna Rogers, Olga Kovaleva, and Anna Rumshisky. 2020 · 2002
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Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D Manning. 2020 · 2003
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How Dominant Is the Commonest Sense of a Word?
Adam Kilgarriff. 2004 · 2004
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Finding Predominant Word Senses in Untagged Text
Diana McCarthy, Rob Koeling, Julie Weeds, and John Carroll. 2004 · 2004
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Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, and Yoav Goldberg. 2020 · 2004
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Scale Structure and the Semantic Typology of Gradable Predicates
Christopher Kennedy and Louise McNally. 2005 · 2005
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Web 1T 5-gram Version 1
Thorsten Brants and Alex Franz. 2006 · 2006
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Opinion mining and sentiment analysis
Bo Pang, Lillian Lee, et al. 2008 · 2008
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The WaCky wide web: a collection of very large linguistically processed web-crawled corpora
Marco Baroni, Silvia Bernardini, Adriano Ferraresi, and Eros Zanchetta. 2009 · 2009
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AdjScales: Visualizing Differences between Adjectives for Language Learners
Vera Sheinman and Takenobu Tokunaga. 2009 · 2009
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Quantity implicatures
Bart Geurts. 2010 · 2010
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“Was It Good? It Was Provocative.” Learning the Meaning of Scalar Adjectives”
Marie-Catherine de Marneffe, Christopher D. Manning, and Christopher Potts. 2010 · 2010
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A new ANEW: Evaluation of a word list for sentiment analysis in microblogs
Finn Årup Nielsen. 2011 · 2011
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Lexicon-based methods for sentiment analysis
Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011 · 2011
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A generic approach to generate opinion lists of phrases for opinion mining applications
Sven Rill, J. vom Scheidt, Johannes Drescher, Oliver Schütz, Dirk Reinel, and Florian Wogenstein. 2012 · 2012
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PPDB: The Paraphrase Database
Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013 · 2013
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Deriving Adjectival Scales from Continuous Space Word Representations
Joo-Kyung Kim and Marie-Catherine de Marneffe. 2013 · 2013
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Good, Great, Excellent: Global Inference of Semantic Intensities
Gerard de Melo and Mohit Bansal. 2013 · 2013
context2vec: Learning Generic Context Embedding with Bidirectional LSTM
Oren Melamud, Jacob Goldberger, and Ido Dagan. 2016 · 2016
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Scalar Diversity
Bob Van Tiel, Emiel Van Miltenburg, Natalia Zevakhina, and Bart Geurts. 2016 · 2016
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A Gold Standard for Scalar Adjectives
Bryan Wilkinson and Tim Oates. 2016 · 2016
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Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
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Identifying and Ordering Scalar Adjectives Using Lexical Substitution
Bryan Wilkinson. 2017 · 2017
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Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Large, huge or gigantic? Identifying and encoding intensity relations among adjectives in WordNet
Vera Sheinman, Christiane Fellbaum, Isaac Julien, Peter Schulam, and Takenobu Tokunaga. 2013 · 2013
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What Substitutes Tell Us - Analysis of an “All-Words” Lexical Substitution Corpus
Gerhard Kremer, Katrin Erk, Sebastian Padó, and Stefan Thater. 2014 · 2014
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Comparing methods for deriving intensity scores for adjectives
Josef Ruppenhofer, Michael Wiegand, and Jasper Brandes. 2014 · 2014
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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier. 2014 · 2014
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PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2015 · 2015
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Learning Scalar Adjective Intensity from Paraphrases
Anne Cocos, Skyler Wharton, Ellie Pavlick, Marianna Apidianaki, and Chris Callison-Burch. 2018 · 2018
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Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
Ajay Patel, Alexander Sands, Chris Callison-Burch, and Marianna Apidianaki. 2018 · 2018
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Learning gender-neutral word embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, and Kai-Wei Chang. 2018 · 2018
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What does BERT look at? an analysis of BERT’s attention
Kevin Clark, Urvashi Khandelwal, Omer Levy, and Christopher D. Manning. 2019 · 2019
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Attenuating Bias in Word Vectors
Sunipa Dev and Jeff M Phillips. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Designing and Interpreting Probes with Control Tasks
John Hewitt and Percy Liang. 2019 · 2019
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A Structural Probe for Finding Syntax in Word Representations
John Hewitt and Christopher D. Manning. 2019 · 2019
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Revealing the Dark Secrets of BERT
Olga Kovaleva, Alexey Romanov, Anna Rogers, and Anna Rumshisky. 2019 · 2019
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BERT Rediscovers the Classical NLP Pipeline
Ian Tenney, Dipanjan Das, and Ellie Pavlick. 2019 · 2019
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The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita, Rico Sennrich, and Ivan Titov. 2019a · 2019
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A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto, and Ivan Vulić. 2020 · 2020
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