Verbnet: a broad-coverage, comprehensive verb lexicon

By Karin Kipper Schuler, Martha Palmer. 2005

1,137 citations recorded by the source corpus.

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In Natural Language Processing

Citations in the corpus

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems (2019, methodology): “Systems also may not use the unlabeled test data for the tasks in system development in any way, may not use the structured source data that was used to collect the WiC labels (sense-annotated example sentences from WordNet, VerbNet, and Wiktionary) in any way, and may not build systems that share i”
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations (2018, background): “…usages provided for words in three lexical resources: (1) WordNet (Fellbaum, 1998), the standard English lexicographic resource; (2) Verb-Net (Kipper-Schuler, 2005), the largest domain-independent verb-based resource; and (3) Wik-tionary 3 , a large collaborative-constructed on-line…”
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version (2015, background): “…lexical databases such as WordNet (Miller, 1995), which contains lexical relationships between words for over a hundred thousand words, VerbNet (Schuler, 2005) which contains lexical relations between verbs, and FrameNet (Ruppenhofer et al., 2006), which contains ’word senses’ for over ten…”
Moments in Time Dataset: One Million Videos for Event Understanding (2018, methodology): “In order to ensure that we captured this criteria we began building our vocabulary by using the 4,500 most commonly used verbs from VerbNet [41] (according to the word frequencies in the Corpus of Contemporary American English (COCA) [11]).”
Automatically Solving Number Word Problems by Semantic Parsing and Reasoning (2015, methodology): “Our future plan is automatically generating verb functions from databases like PropBank (Kingsbury & Palmer, 2002), FrameNet (Fillmore et al., 2003), and VerbNet 4 (Schuler, 2005).”
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension (2018, methodology): “The rules were extracted from Verb-Net (Schuler, 2005) and expanded.”
Visual Semantic Role Labeling (2015, background): “NLP research on this and related areas has resulted in FrameNet [4] and VerbNet [33] which catalogue verbs and their semantic roles.”
Sparse Overcomplete Word Vector Representations (2015, background): “Yet word vectors do not look anything like the representations described in most lexical semantic theories, which focus on identifying classes of words (Levin, 1993; Baker et al., 1998; Schuler, 2005) and relationships among word meanings (Miller, 1995).”
Construction of an annotated corpus to support biomedical information extraction (2009, background): “Semantic roles Starting with the generic semantic roles proposed for VerbNet [29] and PropBank [30], we examined a large number of relevant events within MEDLINE abstracts, in consultation with biologists.”
Asking without Telling: Exploring Latent Ontologies in Contextual Representations (2020, background): “, 2015), or Levin classes (Levin, 1993; Schuler, 2005) have more explicit fine-grained roles.”
Robots That Use Language (2020, neutral): “Instead, language-learning approaches can be directly compared with previous approaches to the same problem by using the language (66), Mei et al. (79) used a long short-term memory recurrent neural network (LSTM-RNN LSTM-RNN) to learn to follow directions.”
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction (2019, methodology): “The classiﬁer is trained on a combination of semantic , based on lexical resources such as VerbNet (Schuler, 2005) and WordNet (Miller, 1995), and frequencies computed over the annotated Gigaword corpus (Napoles et al., 2012), syntactic , from the dependency parser in the Mate tools (Bohnet et al., ”
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures (2016, methodology): “SRL annotation is typically based on syntactic structures obtained from treebanks, such as the constituent-based Penn Treebank (for PropBank annotation), or the German TIGER treebank for FrameNet-style annotation (Burchardt et al., 2009).”