MediaWiki API result

This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.
Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.
See the complete documentation, or the API help for more information.
{
    "batchcomplete": "",
    "continue": {
        "gapcontinue": "Regex_-_RTE_Users",
        "continue": "gapcontinue||"
    },
    "warnings": {
        "main": {
            "*": "Subscribe to the mediawiki-api-announce mailing list at <https://lists.wikimedia.org/mailman/listinfo/mediawiki-api-announce> for notice of API deprecations and breaking changes."
        },
        "revisions": {
            "*": "Because \"rvslots\" was not specified, a legacy format has been used for the output. This format is deprecated, and in the future the new format will always be used."
        }
    },
    "query": {
        "pages": {
            "1661": {
                "pageid": 1661,
                "ns": 0,
                "title": "Recognizing Textual Entailment",
                "revisions": [
                    {
                        "contentformat": "text/x-wiki",
                        "contentmodel": "wikitext",
                        "*": "[[Textual Entailment]] &gt; '''Challenges''':\n----\n\n'''[[Textual Entailment]]''' Recognition has been proposed recently as a generic task that captures major semantic inference needs across many [[Natural Language Processing|NLP]] applications, such as [[Question Answering]], [[Information Retrieval]], [[Information Extraction]], and [[Text Summarization]]. This task requires to recognize, given two text fragments, whether the meaning of one text is entailed (can be inferred) from the other text.\n\n== History ==\n* [http://pascallin.ecs.soton.ac.uk/Challenges/RTE/Datasets/ RTE-1] Pascal\n* [http://pascallin.ecs.soton.ac.uk/Challenges/RTE2/Datasets/ RTE-2] Pascal\n* [http://pascallin.ecs.soton.ac.uk/Challenges/RTE3/Datasets/ RTE-3] Pascal\n* [http://www.nist.gov/tac/data/past/2008/RTE-4.html RTE-4] TAC 2008\n* [http://www.nist.gov/tac/data/ RTE-5] TAC 2009\n* [http://www.nist.gov/tac/data/ RTE-6] TAC 2010\n* [http://www.nist.gov/tac/2011/RTE/index.html  RTE-7] TAC 2011\n* [http://www.cs.york.ac.uk/semeval-2013/task7/  The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge] SemEval 2013\n\n== [[Textual Entailment Resource Pool|Resource Pool]] ==\n\nIn an effort to determine the relative impact of the many resources used withing the RTE challenge, RTE-3 initiated a new activity for building a '''[[Textual Entailment Resource Pool]]'''. RTE participants and any other member of the NLP community are encouraged to contribute to the RTE Resource Pool.\n\n\n[[Category:Textual Entailment Portal]]"
                    }
                ]
            },
            "1998": {
                "pageid": 1998,
                "ns": 0,
                "title": "Recommended textbooks",
                "revisions": [
                    {
                        "contentformat": "text/x-wiki",
                        "contentmodel": "wikitext",
                        "*": "*[http://www.cs.colorado.edu/~martin/slp.html Speech and Language Processing (2nd Edition), by Daniel Jurafsky and James Martin]\n*[http://www.cs.lth.se/home/Pierre_Nugues/ilppp/ An Introduction to Language Processing with Perl and Prolog, by Pierre Nugues]\n*[http://www.nltk.org/book-1 Natural Language Processing in Python, by Steven Bird, Ewan Klein and Edward Loper]"
                    }
                ]
            }
        }
    }
}