Reinitializing Stanford CoreNLP pipeline to match RegexNER file changesResolve coreference using Stanford CoreNLP - unable to load parser modelConcurrent processing using Stanford CoreNLP (3.5.2)Stanford NLP: java.lang.IllegalArgumentException: No annotator named openieStanford CoreNLP dedicated server ignoring annotators inputprogram for tagger and sentiment analysis in stanford nlpDynamically add properties to StanfordCoreNLP Annotator or Pipelineproblems with using regexner to override existing named entities while maintaining entitymentionsStandord-corenlp regexner and tokenregex not working for chineseStanford CoreNLP - lemmas are not recognised correctlyStanford RegexNER Example: Cannot find or load main class

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Reinitializing Stanford CoreNLP pipeline to match RegexNER file changes


Resolve coreference using Stanford CoreNLP - unable to load parser modelConcurrent processing using Stanford CoreNLP (3.5.2)Stanford NLP: java.lang.IllegalArgumentException: No annotator named openieStanford CoreNLP dedicated server ignoring annotators inputprogram for tagger and sentiment analysis in stanford nlpDynamically add properties to StanfordCoreNLP Annotator or Pipelineproblems with using regexner to override existing named entities while maintaining entitymentionsStandord-corenlp regexner and tokenregex not working for chineseStanford CoreNLP - lemmas are not recognised correctlyStanford RegexNER Example: Cannot find or load main class






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








0















I am developing an application where I am sending new rules to the RegexNER file via a REST HTTP PATCH endpoint.



[Route("RegexNER")]
[HttpPatch]
public IHttpActionResult UpdateRegexNERFile([FromBody] List<RegexNERUpdateDTO> UpdateEntries)

if (UpdateEntries == null)
return Content(HttpStatusCode.BadRequest, new message = "Cannot update Regex NER for invalid requests!" );

string regexNERFilePath = Path.Combine(HttpContext.Current.Server.MapPath("~"), "Models", "regexner_custom.txt");
string regexFileContents = File.ReadAllText(regexNERFilePath);

List<string> newEntryList = new List<string>();

foreach (RegexNERUpdateDTO entry in UpdateEntries)

foreach (string entityEntry in entry.Entries)

string newEntry = $"entityEntrytentry.Entity";

if (regexFileContents.IndexOf(newEntry, StringComparison.OrdinalIgnoreCase) == -1)
newEntryList.Add(newEntry);



// Remove read only file access
FileInfo myFile = new FileInfo(regexNERFilePath)

IsReadOnly = false
;

File.AppendAllText(regexNERFilePath, Environment.NewLine + string.Join(Environment.NewLine, newEntryList));
NLPInitializer.InitializeCoreNLP();
return Ok();



This is the code for initializing the CoreNLP pipeline:



public static class NLPInitializer

public static StanfordCoreNLP Pipeline get; set;

/// <summary>
/// This method is called only once (at startup) to initialize the StanfordCoreNLP pipeline object
/// </summary>
public static void InitializeCoreNLP()

// Path to the folder with models extracted from `stanford-corenlp-3.8.0-models.jar`
string jarRoot = ConfigurationManager.AppSettings["CoreNLPModelPath"];
string modelsDirectory = Path.Combine(jarRoot, "edu", "stanford", "nlp", "models");

// SUTime configuration
string sutimeRules = Path.Combine(modelsDirectory, "sutime", "defs.sutime.txt") + "," +
// Path.Combine(modelsDirectory, "sutime", "english.holidays.sutime.txt") + "," +
Path.Combine(modelsDirectory, "sutime", "english.sutime.txt");
try

Properties props = new Properties();
//props.setProperty("ner.model", Path.Combine(modelsDirectory + "ner", "english.muc.7class.distsim.crf.ser.gz"));
string regexNerFilePath = Path.Combine(HttpContext.Current.Server.MapPath("~"), "Models", "regexner_custom.txt");
props.setProperty("regexner.mapping", regexNerFilePath);
props.setProperty("regexner.ignorecase", "true");
props.setProperty("coref.algorithm", "neural");
//props.setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,parse,depparse,mention,coref,sentiment,regexner,relation,natlog,openie");
props.setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,parse,depparse,coref,sentiment,regexner,relation,natlog,openie");
//props.setProperty("ner.useSUTime", "0");
props.setProperty("sutime.rules", sutimeRules);
props.setProperty("sutime.binders", "0");
props.setProperty("openie.resolve_coref", "false");

string curDir = Environment.CurrentDirectory;
Directory.SetCurrentDirectory(jarRoot);
Pipeline = new StanfordCoreNLP(props);
Pipeline.addAnnotator(new TimeAnnotator("sutime", props));
Directory.SetCurrentDirectory(curDir);

catch (Exception ex)

throw;





But the problem is in this line
NLPInitializer.InitializeCoreNLP();



I want to re-initialize the Stanford CoreNLP pipeline such that picks up the latest changes made to the RegexNER file and finds the entity based on the updated rules.



But its the pipeline is not re-initializing, I don't know why.



One thing to be noticed is when I restart IIS or restart the app from inetmgr then CoreNLP picks up the latest changes made to the RegexNER file.



But restarting the IIS server is not feasible for every HTTP PATCH request, is there any alternative to this problem.



I am using CoreNLP v3.9.1 english model and CoreNLP 3.9.1 C# Nuget.










share|improve this question






























    0















    I am developing an application where I am sending new rules to the RegexNER file via a REST HTTP PATCH endpoint.



    [Route("RegexNER")]
    [HttpPatch]
    public IHttpActionResult UpdateRegexNERFile([FromBody] List<RegexNERUpdateDTO> UpdateEntries)

    if (UpdateEntries == null)
    return Content(HttpStatusCode.BadRequest, new message = "Cannot update Regex NER for invalid requests!" );

    string regexNERFilePath = Path.Combine(HttpContext.Current.Server.MapPath("~"), "Models", "regexner_custom.txt");
    string regexFileContents = File.ReadAllText(regexNERFilePath);

    List<string> newEntryList = new List<string>();

    foreach (RegexNERUpdateDTO entry in UpdateEntries)

    foreach (string entityEntry in entry.Entries)

    string newEntry = $"entityEntrytentry.Entity";

    if (regexFileContents.IndexOf(newEntry, StringComparison.OrdinalIgnoreCase) == -1)
    newEntryList.Add(newEntry);



    // Remove read only file access
    FileInfo myFile = new FileInfo(regexNERFilePath)

    IsReadOnly = false
    ;

    File.AppendAllText(regexNERFilePath, Environment.NewLine + string.Join(Environment.NewLine, newEntryList));
    NLPInitializer.InitializeCoreNLP();
    return Ok();



    This is the code for initializing the CoreNLP pipeline:



    public static class NLPInitializer

    public static StanfordCoreNLP Pipeline get; set;

    /// <summary>
    /// This method is called only once (at startup) to initialize the StanfordCoreNLP pipeline object
    /// </summary>
    public static void InitializeCoreNLP()

    // Path to the folder with models extracted from `stanford-corenlp-3.8.0-models.jar`
    string jarRoot = ConfigurationManager.AppSettings["CoreNLPModelPath"];
    string modelsDirectory = Path.Combine(jarRoot, "edu", "stanford", "nlp", "models");

    // SUTime configuration
    string sutimeRules = Path.Combine(modelsDirectory, "sutime", "defs.sutime.txt") + "," +
    // Path.Combine(modelsDirectory, "sutime", "english.holidays.sutime.txt") + "," +
    Path.Combine(modelsDirectory, "sutime", "english.sutime.txt");
    try

    Properties props = new Properties();
    //props.setProperty("ner.model", Path.Combine(modelsDirectory + "ner", "english.muc.7class.distsim.crf.ser.gz"));
    string regexNerFilePath = Path.Combine(HttpContext.Current.Server.MapPath("~"), "Models", "regexner_custom.txt");
    props.setProperty("regexner.mapping", regexNerFilePath);
    props.setProperty("regexner.ignorecase", "true");
    props.setProperty("coref.algorithm", "neural");
    //props.setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,parse,depparse,mention,coref,sentiment,regexner,relation,natlog,openie");
    props.setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,parse,depparse,coref,sentiment,regexner,relation,natlog,openie");
    //props.setProperty("ner.useSUTime", "0");
    props.setProperty("sutime.rules", sutimeRules);
    props.setProperty("sutime.binders", "0");
    props.setProperty("openie.resolve_coref", "false");

    string curDir = Environment.CurrentDirectory;
    Directory.SetCurrentDirectory(jarRoot);
    Pipeline = new StanfordCoreNLP(props);
    Pipeline.addAnnotator(new TimeAnnotator("sutime", props));
    Directory.SetCurrentDirectory(curDir);

    catch (Exception ex)

    throw;





    But the problem is in this line
    NLPInitializer.InitializeCoreNLP();



    I want to re-initialize the Stanford CoreNLP pipeline such that picks up the latest changes made to the RegexNER file and finds the entity based on the updated rules.



    But its the pipeline is not re-initializing, I don't know why.



    One thing to be noticed is when I restart IIS or restart the app from inetmgr then CoreNLP picks up the latest changes made to the RegexNER file.



    But restarting the IIS server is not feasible for every HTTP PATCH request, is there any alternative to this problem.



    I am using CoreNLP v3.9.1 english model and CoreNLP 3.9.1 C# Nuget.










    share|improve this question


























      0












      0








      0








      I am developing an application where I am sending new rules to the RegexNER file via a REST HTTP PATCH endpoint.



      [Route("RegexNER")]
      [HttpPatch]
      public IHttpActionResult UpdateRegexNERFile([FromBody] List<RegexNERUpdateDTO> UpdateEntries)

      if (UpdateEntries == null)
      return Content(HttpStatusCode.BadRequest, new message = "Cannot update Regex NER for invalid requests!" );

      string regexNERFilePath = Path.Combine(HttpContext.Current.Server.MapPath("~"), "Models", "regexner_custom.txt");
      string regexFileContents = File.ReadAllText(regexNERFilePath);

      List<string> newEntryList = new List<string>();

      foreach (RegexNERUpdateDTO entry in UpdateEntries)

      foreach (string entityEntry in entry.Entries)

      string newEntry = $"entityEntrytentry.Entity";

      if (regexFileContents.IndexOf(newEntry, StringComparison.OrdinalIgnoreCase) == -1)
      newEntryList.Add(newEntry);



      // Remove read only file access
      FileInfo myFile = new FileInfo(regexNERFilePath)

      IsReadOnly = false
      ;

      File.AppendAllText(regexNERFilePath, Environment.NewLine + string.Join(Environment.NewLine, newEntryList));
      NLPInitializer.InitializeCoreNLP();
      return Ok();



      This is the code for initializing the CoreNLP pipeline:



      public static class NLPInitializer

      public static StanfordCoreNLP Pipeline get; set;

      /// <summary>
      /// This method is called only once (at startup) to initialize the StanfordCoreNLP pipeline object
      /// </summary>
      public static void InitializeCoreNLP()

      // Path to the folder with models extracted from `stanford-corenlp-3.8.0-models.jar`
      string jarRoot = ConfigurationManager.AppSettings["CoreNLPModelPath"];
      string modelsDirectory = Path.Combine(jarRoot, "edu", "stanford", "nlp", "models");

      // SUTime configuration
      string sutimeRules = Path.Combine(modelsDirectory, "sutime", "defs.sutime.txt") + "," +
      // Path.Combine(modelsDirectory, "sutime", "english.holidays.sutime.txt") + "," +
      Path.Combine(modelsDirectory, "sutime", "english.sutime.txt");
      try

      Properties props = new Properties();
      //props.setProperty("ner.model", Path.Combine(modelsDirectory + "ner", "english.muc.7class.distsim.crf.ser.gz"));
      string regexNerFilePath = Path.Combine(HttpContext.Current.Server.MapPath("~"), "Models", "regexner_custom.txt");
      props.setProperty("regexner.mapping", regexNerFilePath);
      props.setProperty("regexner.ignorecase", "true");
      props.setProperty("coref.algorithm", "neural");
      //props.setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,parse,depparse,mention,coref,sentiment,regexner,relation,natlog,openie");
      props.setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,parse,depparse,coref,sentiment,regexner,relation,natlog,openie");
      //props.setProperty("ner.useSUTime", "0");
      props.setProperty("sutime.rules", sutimeRules);
      props.setProperty("sutime.binders", "0");
      props.setProperty("openie.resolve_coref", "false");

      string curDir = Environment.CurrentDirectory;
      Directory.SetCurrentDirectory(jarRoot);
      Pipeline = new StanfordCoreNLP(props);
      Pipeline.addAnnotator(new TimeAnnotator("sutime", props));
      Directory.SetCurrentDirectory(curDir);

      catch (Exception ex)

      throw;





      But the problem is in this line
      NLPInitializer.InitializeCoreNLP();



      I want to re-initialize the Stanford CoreNLP pipeline such that picks up the latest changes made to the RegexNER file and finds the entity based on the updated rules.



      But its the pipeline is not re-initializing, I don't know why.



      One thing to be noticed is when I restart IIS or restart the app from inetmgr then CoreNLP picks up the latest changes made to the RegexNER file.



      But restarting the IIS server is not feasible for every HTTP PATCH request, is there any alternative to this problem.



      I am using CoreNLP v3.9.1 english model and CoreNLP 3.9.1 C# Nuget.










      share|improve this question
















      I am developing an application where I am sending new rules to the RegexNER file via a REST HTTP PATCH endpoint.



      [Route("RegexNER")]
      [HttpPatch]
      public IHttpActionResult UpdateRegexNERFile([FromBody] List<RegexNERUpdateDTO> UpdateEntries)

      if (UpdateEntries == null)
      return Content(HttpStatusCode.BadRequest, new message = "Cannot update Regex NER for invalid requests!" );

      string regexNERFilePath = Path.Combine(HttpContext.Current.Server.MapPath("~"), "Models", "regexner_custom.txt");
      string regexFileContents = File.ReadAllText(regexNERFilePath);

      List<string> newEntryList = new List<string>();

      foreach (RegexNERUpdateDTO entry in UpdateEntries)

      foreach (string entityEntry in entry.Entries)

      string newEntry = $"entityEntrytentry.Entity";

      if (regexFileContents.IndexOf(newEntry, StringComparison.OrdinalIgnoreCase) == -1)
      newEntryList.Add(newEntry);



      // Remove read only file access
      FileInfo myFile = new FileInfo(regexNERFilePath)

      IsReadOnly = false
      ;

      File.AppendAllText(regexNERFilePath, Environment.NewLine + string.Join(Environment.NewLine, newEntryList));
      NLPInitializer.InitializeCoreNLP();
      return Ok();



      This is the code for initializing the CoreNLP pipeline:



      public static class NLPInitializer

      public static StanfordCoreNLP Pipeline get; set;

      /// <summary>
      /// This method is called only once (at startup) to initialize the StanfordCoreNLP pipeline object
      /// </summary>
      public static void InitializeCoreNLP()

      // Path to the folder with models extracted from `stanford-corenlp-3.8.0-models.jar`
      string jarRoot = ConfigurationManager.AppSettings["CoreNLPModelPath"];
      string modelsDirectory = Path.Combine(jarRoot, "edu", "stanford", "nlp", "models");

      // SUTime configuration
      string sutimeRules = Path.Combine(modelsDirectory, "sutime", "defs.sutime.txt") + "," +
      // Path.Combine(modelsDirectory, "sutime", "english.holidays.sutime.txt") + "," +
      Path.Combine(modelsDirectory, "sutime", "english.sutime.txt");
      try

      Properties props = new Properties();
      //props.setProperty("ner.model", Path.Combine(modelsDirectory + "ner", "english.muc.7class.distsim.crf.ser.gz"));
      string regexNerFilePath = Path.Combine(HttpContext.Current.Server.MapPath("~"), "Models", "regexner_custom.txt");
      props.setProperty("regexner.mapping", regexNerFilePath);
      props.setProperty("regexner.ignorecase", "true");
      props.setProperty("coref.algorithm", "neural");
      //props.setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,parse,depparse,mention,coref,sentiment,regexner,relation,natlog,openie");
      props.setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,parse,depparse,coref,sentiment,regexner,relation,natlog,openie");
      //props.setProperty("ner.useSUTime", "0");
      props.setProperty("sutime.rules", sutimeRules);
      props.setProperty("sutime.binders", "0");
      props.setProperty("openie.resolve_coref", "false");

      string curDir = Environment.CurrentDirectory;
      Directory.SetCurrentDirectory(jarRoot);
      Pipeline = new StanfordCoreNLP(props);
      Pipeline.addAnnotator(new TimeAnnotator("sutime", props));
      Directory.SetCurrentDirectory(curDir);

      catch (Exception ex)

      throw;





      But the problem is in this line
      NLPInitializer.InitializeCoreNLP();



      I want to re-initialize the Stanford CoreNLP pipeline such that picks up the latest changes made to the RegexNER file and finds the entity based on the updated rules.



      But its the pipeline is not re-initializing, I don't know why.



      One thing to be noticed is when I restart IIS or restart the app from inetmgr then CoreNLP picks up the latest changes made to the RegexNER file.



      But restarting the IIS server is not feasible for every HTTP PATCH request, is there any alternative to this problem.



      I am using CoreNLP v3.9.1 english model and CoreNLP 3.9.1 C# Nuget.







      stanford-nlp






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 28 at 6:33







      Kunal Mukherjee

















      asked Mar 26 at 7:33









      Kunal MukherjeeKunal Mukherjee

      3,2943 gold badges12 silver badges31 bronze badges




      3,2943 gold badges12 silver badges31 bronze badges






















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