buelfhood/SOCO-Java-UnixCoder-Softmax-PairClass-VAST-ep2-bs32-noEval

SentenceTransformer based on microsoft/unixcoder-base-unimodal

This is a sentence-transformers model finetuned from microsoft/unixcoder-base-unimodal on the soco_train_java dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

• Model Type: Sentence Transformer
• Base model: microsoft/unixcoder-base-unimodal
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 768 dimensions
• Similarity Function: Cosine Similarity
• Training Dataset:
  • soco_train_java

Model Sources

• Documentation: Sentence Transformers Documentation
• Repository: Sentence Transformers on GitHub
• Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: RobertaModel 
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("buelfhood/SOCO-Java-UnixCoder-Softmax-PairClass-VAST-ep2-bs32-noEval")
# Run inference
sentences = [
    '\n\n\n\nimport java.util.*;\nimport java.net.*;\nimport java.io.*;\nimport javax.swing.*;\n\npublic class PasswordCombination\n{\n    private int      pwdCounter = 0;\n    private    int  startTime;\n    private String   str1,str2,str3;\n    private String   url = "http://sec-crack.cs.rmit.edu./SEC/2/";\n    private String   loginPwd;\n    private String[] password;\n    private HoldSharedData data;\n    private char[] chars = {\'A\',\'B\',\'C\',\'D\',\'E\',\'F\',\'G\',\'H\',\'I\',\'J\',\'K\',\'L\',\'M\',\n                            \'N\',\'O\',\'P\',\'Q\',\'R\',\'S\',\'T\',\'U\',\'V\',\'W\',\'X\',\'Y\',\'Z\',\n                            \'a\',\'b\',\'c\',\'d\',\'e\',\'f\',\'g\',\'h\',\'i\',\'j\',\'k\',\'l\',\'m\',\n                            \'n\',\'o\',\'p\',\'q\',\'r\',\'s\',\'t\',\'u\',\'v\',\'w\',\'x\',\'y\',\'z\'};\n\n    public PasswordCombination()\n    {\n        System.out.println("Programmed by   for INTE1070 Assignment 2");\n\n        String input = JOptionPane.showInputDialog( "Enter number of threads" );\n        if(  input == null  )\n           System.exit(0);\n\n        int numOfConnections = Integer.parseInt( input );\n        startTime = System.currentTimeMillis();\n        int pwdCounter  = 52*52*52 + 52*52 + 52;\n        password = new String[pwdCounter];\n\n        doPwdCombination();\n\n        System.out.println("Total Number of Passwords Generated: " + pwdCounter);\n        createConnectionThread( numOfConnections );\n    }\n\n    private void doPwdCombination()\n    {\n        for( int i = 0; i < 52; i ++ )\n        {\n            str1 = "" + chars[i];\n            password[pwdCounter++] = "" + chars[i];\n            System.err.print( str1 + " | " );\n\n            for( int j = 0; j < 52; j ++ )\n            {\n                str2 = str1 + chars[j];\n                password[pwdCounter++] = str1 + chars[j];\n\n                for( int k = 0; k < 52; k ++ )\n                {\n                    str3 = str2 + chars[k];\n                    password[pwdCounter++] = str2 + chars[k];\n                }\n            }\n        }\n\n        System.err.println( "\\n" );\n    }\n\n    private void loadPasswords( )\n    {\n        FileReader     fRead;\n        BufferedReader buf;\n        String         line = null;\n        String         fileName = "words";\n\n        try\n        {\n            fRead = new FileReader( fileName );\n            buf = new BufferedReader(fRead);\n\n            while((line = buf.readLine( )) != null)\n            {\n                password[pwdCounter++] = line;\n            }\n        }\n        catch(FileNotFoundException e)\n        {\n            System.err.println("File not found: " + fileName);\n        }\n        catch(IOException ioe)\n        {\n            System.err.println("IO Error " + ioe);\n        }\n    }\n\n    private void createConnectionThread( int input )\n    {\n        data = new HoldSharedData( startTime, password, pwdCounter );\n\n        int numOfThreads = input;\n        int batch = pwdCounter/numOfThreads + 1;\n        numOfThreads = pwdCounter/batch + 1;\n        System.out.println("Number of Connection Threads Used:" + numOfThreads);\n        ConnectionThread[] connThread = new ConnectionThread[numOfThreads];\n\n        for( int index = 0; index < numOfThreads; index ++ )\n        {\n            connThread[index] = new ConnectionThread( url, index, batch, data );\n            connThread[index].conn();\n        }\n    }\n}  ',
    '\nimport java.util.*;\n\n\npublic class Cracker\n{\n   private char[] letters = {\'a\', \'b\', \'c\', \'d\', \'e\', \'f\', \'g\', \'h\', \'i\', \'j\', \'k\', \'l\', \'m\', \'n\', \'o\', \'p\', \'q\', \'r\', \'s\', \'t\', \'u\', \'v\', \'w\', \'x\', \'y\', \'z\', \'A\', \'B\', \'C\', \'D\', \'E\', \'F\', \'G\', \'H\', \'I\', \'J\', \'K\', \'L\', \'M\', \'N\', \'O\', \'P\', \'Q\', \'R\', \'S\', \'T\', \'U\', \'V\', \'W\', \'X\', \'Y\', \'Z\'};\n   private Vector v;\n\n   public Cracker()\n   {\n      v = new Vector( 52);\n   }\n   public void loadLetters()\n   {\n      int i;\n\n      for( i = 0; i < letters.length; i++)\n      {\n\t String s = new StringBuffer().append( letters[i]).toString();\n         v.add( s);\n      }\n   }\n   public Vector getVictor()\n   {\n      return ;\n   }\n   public void loadPairs()\n   {\n      int i,j;\n\n      for( i = 0; i < letters.length - 1; i++)\n      {\n         for( j = i + 1; j < letters.length; j++)\n         {\n            String s1 = new StringBuffer().append( letters[i]).append( letters[j]).toString();\n\t    String s2 = new StringBuffer().append( letters[j]).append( letters[i]).toString();\n\t    v.add( s1);\n\t    v.add( s2);\n\t }\n      }\n      for( i = 0; i < letters.length; i++)\n      {\n         String s3 = new StringBuffer().append( letters[i]).append( letters[i]).toString();\n\t v.add( s3);\n      }\n   }\n   public void loadTriples()\n   {\n      int i, j, k;\n      \n      for( i = 0; i < letters.length; i++)\n      {\n         String s4 = new StringBuffer().append( letters[i]).append( letters[i]).append( letters[i]).toString();\n\t v.add( s4);\n      }\n      for( i = 0; i < letters.length - 1; i++)\n      {\n         for( j = i + 1; j < letters.length; j++)\n\t {\n\t    String s5 = new StringBuffer().append( letters[i]).append( letters[j]).append( letters[j]).toString();\n\t    String s6 = new StringBuffer().append( letters[j]).append( letters[i]).append( letters[j]).toString();\n\t    String s7 = new StringBuffer().append( letters[j]).append( letters[j]).append( letters[i]).toString();\n\t    String s8 = new StringBuffer().append( letters[j]).append( letters[i]).append( letters[i]).toString();\n\t    String s9 = new StringBuffer().append( letters[i]).append( letters[j]).append( letters[i]).toString();\n\t    String s10 = new StringBuffer().append( letters[i]).append( letters[i]).append( letters[j]).toString();\n\t    v.add( s5);\n\t    v.add( s6);\n\t    v.add( s7);\n\t    v.add( s8);\n\t    v.add( s9);\n\t    v.add( s10);\n\t }\n      }\n      for( i = 0; i < letters.length - 2; i++)\n      {\n         for( j = i + 1; j < letters.length - 1; j++)\n\t {\n\t    for( k = i + 2; k < letters.length; k++)\n\t    {\n\t       String s11 = new StringBuffer().append( letters[i]).append( letters[j]).append(letters[k]).toString();\n\t       String s12 = new StringBuffer().append( letters[i]).append( letters[k]).append(letters[j]).toString();\n\t       String s13 = new StringBuffer().append( letters[k]).append( letters[j]).append(letters[i]).toString();\n\t       String s14 = new StringBuffer().append( letters[k]).append( letters[i]).append(letters[j]).toString();\n\t       String s15 = new StringBuffer().append( letters[j]).append( letters[i]).append(letters[k]).toString();\n\t       String s16 = new StringBuffer().append( letters[j]).append( letters[k]).append(letters[i]).toString();\n\t       v.add( s11);\n\t       v.add( s12);\n\t       v.add( s13);\n\t       v.add( s14);\n\t       v.add( s15);\n\t       v.add( s16);\n\t    }\n\t }\n      }\n   }\n         \n   public static void main( String[] args)\n   {\n      Cracker cr = new Cracker();\n      cr.loadLetters();\n      cr.loadPairs();\n      cr.loadTriples();\n      System.out.println(" far "+cr.getVictor().size()+" elements loaded");\n   }\n}\n      \n',
    '\nimport java.util.*;\n\n\npublic class Cracker\n{\n   private char[] letters = {\'a\', \'b\', \'c\', \'d\', \'e\', \'f\', \'g\', \'h\', \'i\', \'j\', \'k\', \'l\', \'m\', \'n\', \'o\', \'p\', \'q\', \'r\', \'s\', \'t\', \'u\', \'v\', \'w\', \'x\', \'y\', \'z\', \'A\', \'B\', \'C\', \'D\', \'E\', \'F\', \'G\', \'H\', \'I\', \'J\', \'K\', \'L\', \'M\', \'N\', \'O\', \'P\', \'Q\', \'R\', \'S\', \'T\', \'U\', \'V\', \'W\', \'X\', \'Y\', \'Z\'};\n   private Vector v;\n\n   public Cracker()\n   {\n      v = new Vector( 52);\n   }\n   public void loadLetters()\n   {\n      int i;\n\n      for( i = 0; i < letters.length; i++)\n      {\n\t String s = new StringBuffer().append( letters[i]).toString();\n         v.add( s);\n      }\n   }\n   public Vector getVictor()\n   {\n      return ;\n   }\n   public void loadPairs()\n   {\n      int i,j;\n\n      for( i = 0; i < letters.length - 1; i++)\n      {\n         for( j = i + 1; j < letters.length; j++)\n         {\n            String s1 = new StringBuffer().append( letters[i]).append( letters[j]).toString();\n\t    String s2 = new StringBuffer().append( letters[j]).append( letters[i]).toString();\n\t    v.add( s1);\n\t    v.add( s2);\n\t }\n      }\n      for( i = 0; i < letters.length; i++)\n      {\n         String s3 = new StringBuffer().append( letters[i]).append( letters[i]).toString();\n\t v.add( s3);\n      }\n   }\n   public void loadTriples()\n   {\n      int i, j, k;\n      \n      for( i = 0; i < letters.length; i++)\n      {\n         String s4 = new StringBuffer().append( letters[i]).append( letters[i]).append( letters[i]).toString();\n\t v.add( s4);\n      }\n      for( i = 0; i < letters.length - 1; i++)\n      {\n         for( j = i + 1; j < letters.length; j++)\n\t {\n\t    String s5 = new StringBuffer().append( letters[i]).append( letters[j]).append( letters[j]).toString();\n\t    String s6 = new StringBuffer().append( letters[j]).append( letters[i]).append( letters[j]).toString();\n\t    String s7 = new StringBuffer().append( letters[j]).append( letters[j]).append( letters[i]).toString();\n\t    String s8 = new StringBuffer().append( letters[j]).append( letters[i]).append( letters[i]).toString();\n\t    String s9 = new StringBuffer().append( letters[i]).append( letters[j]).append( letters[i]).toString();\n\t    String s10 = new StringBuffer().append( letters[i]).append( letters[i]).append( letters[j]).toString();\n\t    v.add( s5);\n\t    v.add( s6);\n\t    v.add( s7);\n\t    v.add( s8);\n\t    v.add( s9);\n\t    v.add( s10);\n\t }\n      }\n      for( i = 0; i < letters.length - 2; i++)\n      {\n         for( j = i + 1; j < letters.length - 1; j++)\n\t {\n\t    for( k = i + 2; k < letters.length; k++)\n\t    {\n\t       String s11 = new StringBuffer().append( letters[i]).append( letters[j]).append(letters[k]).toString();\n\t       String s12 = new StringBuffer().append( letters[i]).append( letters[k]).append(letters[j]).toString();\n\t       String s13 = new StringBuffer().append( letters[k]).append( letters[j]).append(letters[i]).toString();\n\t       String s14 = new StringBuffer().append( letters[k]).append( letters[i]).append(letters[j]).toString();\n\t       String s15 = new StringBuffer().append( letters[j]).append( letters[i]).append(letters[k]).toString();\n\t       String s16 = new StringBuffer().append( letters[j]).append( letters[k]).append(letters[i]).toString();\n\t       v.add( s11);\n\t       v.add( s12);\n\t       v.add( s13);\n\t       v.add( s14);\n\t       v.add( s15);\n\t       v.add( s16);\n\t    }\n\t }\n      }\n   }\n         \n   public static void main( String[] args)\n   {\n      Cracker cr = new Cracker();\n      cr.loadLetters();\n      cr.loadPairs();\n      cr.loadTriples();\n      System.out.println(" far "+cr.getVictor().size()+" elements loaded");\n   }\n}\n      \n',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Training Details

Training Dataset

soco_train_java

• Dataset: soco_train_java at 44ca4ff
• Size: 33,411 training samples
• Columns: label, text_1, and text_2
• Approximate statistics based on the first 1000 samples:

  	label	text_1	text_2
  type	int	string	string
  details	0: ~99.80% 1: ~0.20%	min: 51 tokens mean: 457.49 tokens max: 512 tokens	min: 512 tokens mean: 512.0 tokens max: 512 tokens

• Samples:

  label	text_1	text_2
  0	import java.net.; import java.io.; import java.util.*; public class Dictionary { public static void main(String args[]) { int i,j,k; String pass = new String(); String UserPass = new String(); String status = new String(); String status1 = new String(); BasicAuth auth = new BasicAuth(); URLConnection connect; int start,end,diff; try { URL url = new URL ("http://sec-crack.cs.rmit.edu./SEC/2/"); start =System.currentTimeMillis(); BufferedReader dis = new BufferedReader(new FileReader("words")); while ((pass = dis.readLine()) != null) { UserPass= auth.encode("",pass); connect = url.openConnection(); connect.setDoInput(true); connect.setDoOutput(true); connect.setRequestProperty("Host","sec-crack.cs.rmit.edu."); connect.setRequestProperty("Get","/SEC/2/ HTTP/1.1"); connect.setRequestProperty(...	import java.; import java.io.; import java.util.; public class BruteForce { public final static int TOTAL_TIMES=5252*52; public char[] passwd; public static void main(String[] args) throws IOException { BruteForce bf=new BruteForce(); System.out.println(" cracking..."); time1=new Date().getTime(); bf.doBruteForce(time1); time2=new Date().getTime(); System.out.println("Finish cracking."); System.out.println(" password found."); System.out.println("costs "+(time2-time1)+" milliseconds"); System.exit(1); } void doBruteForce(int time1) throws IOException { passwd=new char[3]; Runtime rt=Runtime.getRuntime(); num=0; for(int i=(int)'z';i>=(int)'A';i--) { if(i==96) i=90; passwd[0]=(char)i; for(int j=(int)'z';j>=(int)'A';j--) { if(j==96) j=90; passwd[1]=(char)j; for(int k=(int)'z';k>=(int)'A';k--) { if(k==96) k=90; passwd[2]=(char)k; String password=new String(passwd); try ...
  0	import java.util.*; public class Cracker { private char[] letters = {'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z'}; private Vector v; public Cracker() { v = new Vector( 52); } public void loadLetters() { int i; for( i = 0; i < letters.length; i++) { String s = new StringBuffer().append( letters[i]).toString(); v.add( s); } } public Vector getVictor() { return ; } public void loadPairs() { int i,j; for( i = 0; i < letters.length - 1; i++) { for( j = i + 1; j < letters.length; j++) { String s1 = new StringBuffer().append( letters[i]).append( letters[j]).toString(); String s2 = new StringBuffer().append( letters[j]).append( letters[i])....	import java.; import java.io.; import java.util.; public class BruteForce { public final static int TOTAL_TIMES=5252*52; public char[] passwd; public static void main(String[] args) throws IOException { BruteForce bf=new BruteForce(); System.out.println(" cracking..."); time1=new Date().getTime(); bf.doBruteForce(time1); time2=new Date().getTime(); System.out.println("Finish cracking."); System.out.println(" password found."); System.out.println("costs "+(time2-time1)+" milliseconds"); System.exit(1); } void doBruteForce(int time1) throws IOException { passwd=new char[3]; Runtime rt=Runtime.getRuntime(); num=0; for(int i=(int)'z';i>=(int)'A';i--) { if(i==96) i=90; passwd[0]=(char)i; for(int j=(int)'z';j>=(int)'A';j--) { if(j==96) j=90; passwd[1]=(char)j; for(int k=(int)'z';k>=(int)'A';k--) { if(k==96) k=90; passwd[2]=(char)k; String password=new String(passwd); try ...
  0	import java.io.; import java.; import java.util.StringTokenizer; public class Dictionary { public static void main(String args[]) { final String DICT_FILE = "/usr/share/lib/dict/words"; String basic_url = "http://sec-crack.cs.rmit.edu./SEC/2/"; String password; String s = null; int num_tries = 0; try { BufferedReader dict_word = new BufferedReader (new FileReader (DICT_FILE)); while((password = dict_word.readLine())!= null) { try { Process p = Runtime.getRuntime().exec("wget --http-user= --http-passwd=" + password + " " + basic_url); BufferedReader stdInput = new BufferedReader(new InputStreamReader(p.getInputStream())); BufferedReader stdError = new BufferedReader(new InputStreamReader(p.g...	import java.; import java.io.; import java.util.; public class BruteForce { public final static int TOTAL_TIMES=5252*52; public char[] passwd; public static void main(String[] args) throws IOException { BruteForce bf=new BruteForce(); System.out.println(" cracking..."); time1=new Date().getTime(); bf.doBruteForce(time1); time2=new Date().getTime(); System.out.println("Finish cracking."); System.out.println(" password found."); System.out.println("costs "+(time2-time1)+" milliseconds"); System.exit(1); } void doBruteForce(int time1) throws IOException { passwd=new char[3]; Runtime rt=Runtime.getRuntime(); num=0; for(int i=(int)'z';i>=(int)'A';i--) { if(i==96) i=90; passwd[0]=(char)i; for(int j=(int)'z';j>=(int)'A';j--) { if(j==96) j=90; passwd[1]=(char)j; for(int k=(int)'z';k>=(int)'A';k--) { if(k==96) k=90; passwd[2]=(char)k; String password=new String(passwd); try ...

• Loss: SoftmaxLoss

Training Hyperparameters

Non-Default Hyperparameters

• per_device_train_batch_size: 32
• num_train_epochs: 2

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: no
• prediction_loss_only: True
• per_device_train_batch_size: 32
• per_device_eval_batch_size: 8
• per_gpu_train_batch_size: None
• per_gpu_eval_batch_size: None
• gradient_accumulation_steps: 1
• eval_accumulation_steps: None
• torch_empty_cache_steps: None
• learning_rate: 5e-05
• weight_decay: 0.0
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1.0
• num_train_epochs: 2
• max_steps: -1
• lr_scheduler_type: linear
• lr_scheduler_kwargs: {}
• warmup_ratio: 0.0
• warmup_steps: 0
• log_level: passive
• log_level_replica: warning
• log_on_each_node: True
• logging_nan_inf_filter: True
• save_safetensors: True
• save_on_each_node: False
• save_only_model: False
• restore_callback_states_from_checkpoint: False
• no_cuda: False
• use_cpu: False
• use_mps_device: False
• seed: 42
• data_seed: None
• jit_mode_eval: False
• use_ipex: False
• bf16: False
• fp16: False
• fp16_opt_level: O1
• half_precision_backend: auto
• bf16_full_eval: False
• fp16_full_eval: False
• tf32: None
• local_rank: 0
• ddp_backend: None
• tpu_num_cores: None
• tpu_metrics_debug: False
• debug: []
• dataloader_drop_last: False
• dataloader_num_workers: 0
• dataloader_prefetch_factor: None
• past_index: -1
• disable_tqdm: False
• remove_unused_columns: True
• label_names: None
• load_best_model_at_end: False
• ignore_data_skip: False
• fsdp: []
• fsdp_min_num_params: 0
• fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
• fsdp_transformer_layer_cls_to_wrap: None
• accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
• deepspeed: None
• label_smoothing_factor: 0.0
• optim: adamw_torch
• optim_args: None
• adafactor: False
• group_by_length: False
• length_column_name: length
• ddp_find_unused_parameters: None
• ddp_bucket_cap_mb: None
• ddp_broadcast_buffers: False
• dataloader_pin_memory: True
• dataloader_persistent_workers: False
• skip_memory_metrics: True
• use_legacy_prediction_loop: False
• push_to_hub: False
• resume_from_checkpoint: None
• hub_model_id: None
• hub_strategy: every_save
• hub_private_repo: None
• hub_always_push: False
• gradient_checkpointing: False
• gradient_checkpointing_kwargs: None
• include_inputs_for_metrics: False
• include_for_metrics: []
• eval_do_concat_batches: True
• fp16_backend: auto
• push_to_hub_model_id: None
• push_to_hub_organization: None
• mp_parameters:
• auto_find_batch_size: False
• full_determinism: False
• torchdynamo: None
• ray_scope: last
• ddp_timeout: 1800
• torch_compile: False
• torch_compile_backend: None
• torch_compile_mode: None
• include_tokens_per_second: False
• include_num_input_tokens_seen: False
• neftune_noise_alpha: None
• optim_target_modules: None
• batch_eval_metrics: False
• eval_on_start: False
• use_liger_kernel: False
• eval_use_gather_object: False
• average_tokens_across_devices: False
• prompts: None
• batch_sampler: batch_sampler
• multi_dataset_batch_sampler: proportional

Training Logs

Epoch	Step	Training Loss
0.4785	500	0.0175
0.9569	1000	0.012
1.4354	1500	0.0098
1.9139	2000	0.0037

Framework Versions

• Python: 3.11.11
• Sentence Transformers: 4.1.0
• Transformers: 4.52.4
• PyTorch: 2.8.0.dev20250319+cu128
• Accelerate: 1.7.0
• Datasets: 3.6.0
• Tokenizers: 0.21.1

Citation

BibTeX

Sentence Transformers and SoftmaxLoss

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}