Finding Contradictions in Text

By Marie-Catherine de Marneffe, Anna N. Rafferty, Christopher D. Manning. 2008

301 citations recorded by the source corpus.

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In Natural Language Processing

Citations in the corpus

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference (2017, background): “Data Collection In data collection for NLI, different annotator decisions about the coreference between entities and events across the pair can lead to very different assignments of labels (de Marneffe et al., 2008; Marelli et al., 2014a; Bowman et al., 2015).”
A large annotated corpus for learning natural language inference (2015, background): “Existing resources suffer from a subtler issue that impacts even projects using only human-provided annotations: indeterminacies of event and entity coreference lead to insurmountable in-determinacy concerning the correct semantic label (de Marneffe et al. 2008 § 4 .”
Reasoning about Quantities in Natural Language (2015, methodology): “We then use these capabilities to further develop algorithms to assist reasoning in the context of the aforementioned tasks.”
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference (2019, background): “De Marneffe et al. (2008) find that in a corpus of real-life contradiction pairs collected from Wi-”
Exploring Numeracy in Word Embeddings (2019, background): “Marneffe et al. (2008) extract pairs of contradictions that occur naturally on Wikipedia and Google News, and ﬁnd that as many as 29% of contradictions arise due to numeric discrepancies.”
Computing Word-Pair Antonymy (2008, background): “…between words has many uses including detecting and generating paraphrases ( The dementors caught Sirius Black / Black could not escape the dementors ) and detecting contradictions (Marneffe et al., 2008; Voorhees, 2008) ( Kyoto has a predominantly wet climate / It is mostly dry in Kyoto ).”
Counter-fitting Word Vectors to Linguistic Constraints (2016, background): “The most common use of antonymy information is to provide features for systems that detect contradictions or logical entailment (Marcu and Echihabi, 2002; de Marneffe et al., 2008; Zanzotto et al., 2009).”