
# QuReTec: query resolution model

QuReTeC is a query resolution model. It finds the relevant terms in a question history.
It is based on **bert-large-uncased** with a max sequence length of 300.

# Config details
Training and evaluation was done using the following BertConfig:

```json
BertConfig {
  "_name_or_path": "uva-irlab/quretec",
  "architectures": ["BertForMaskedLM"],
  "attention_probs_dropout_prob": 0.1,
  "finetuning_task": "ner",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.4,
  "hidden_size": 1024,
  "id2label": {
    "0": "[PAD]",
    "1": "O",
    "2": "REL",
    "3": "[CLS]",
    "4": "[SEP]"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "O": 1,
    "REL": 2,
    "[CLS]": 3,
    "[PAD]": 0,
    "[SEP]": 4
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "transformers_version": "4.6.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}
```

# Original authors

QuReTeC model from the published SIGIR 2020 paper: Query Resolution for Conversational Search with Limited Supervision by N. Voskarides, D. Li, P. Ren, E. Kanoulas and M. de Rijke. [[pdf]](https://arxiv.org/abs/2005.11723). 

# Contributions

Uploaded by G. Scheuer ([website](https://giguruscheuer.com))
{"language": ["en"], "tags": ["conversational-search"], "datasets": ["uva-irlab/canard_quretec"], "metrics": ["f1"], "model-index": [{"name": "QuReTec", "results": [{"task": {"type": "conversational", "name": "Conversational search"}, "dataset": {"name": "CANARD", "type": "canard"}, "metrics": [{"type": "f1", "value": 68.7, "name": "Micro F1"}, {"type": "recall", "value": 66.1, "name": "Micro Recall"}, {"type": "precision", "value": 71.5, "name": "Micro Precision"}]}]}]}
transformers pytorch bert conversational-search en dataset:uva-irlab/canard_quretec arxiv:2005.11723 model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #conversational-search #en #dataset-uva-irlab/canard_quretec #arxiv-2005.11723 #model-index #endpoints_compatible #region-us 


# QuReTec: query resolution model

QuReTeC is a query resolution model. It finds the relevant terms in a question history.
It is based on bert-large-uncased with a max sequence length of 300.

# Config details
Training and evaluation was done using the following BertConfig:



# Original authors

QuReTeC model from the published SIGIR 2020 paper: Query Resolution for Conversational Search with Limited Supervision by N. Voskarides, D. Li, P. Ren, E. Kanoulas and M. de Rijke. [[pdf]](URL 

# Contributions

Uploaded by G. Scheuer (website)
# QuReTec: query resolution model

QuReTeC is a query resolution model. It finds the relevant terms in a question history.
It is based on bert-large-uncased with a max sequence length of 300. # Config details
Training and evaluation was done using the following BertConfig: # Original authors

QuReTeC model from the published SIGIR 2020 paper: Query Resolution for Conversational Search with Limited Supervision by N. Voskarides, D. Li, P. Ren, E. Kanoulas and M. de Rijke. [[pdf]](URL # Contributions

Uploaded by G. Scheuer (website)
TAGS
#transformers #pytorch #bert #conversational-search #en #dataset-uva-irlab/canard_quretec #arxiv-2005.11723 #model-index #endpoints_compatible #region-us 
 # QuReTec: query resolution model

QuReTeC is a query resolution model. It finds the relevant terms in a question history.
It is based on bert-large-uncased with a max sequence length of 300. # Config details
Training and evaluation was done using the following BertConfig: # Original authors

QuReTeC model from the published SIGIR 2020 paper: Query Resolution for Conversational Search with Limited Supervision by N. Voskarides, D. Li, P. Ren, E. Kanoulas and M. de Rijke. [[pdf]](URL # Contributions

Uploaded by G. Scheuer (website)
passage: TAGS
#transformers #pytorch #bert #conversational-search #en #dataset-uva-irlab/canard_quretec #arxiv-2005.11723 #model-index #endpoints_compatible #region-us 
# QuReTec: query resolution model

QuReTeC is a query resolution model. It finds the relevant terms in a question history.
It is based on bert-large-uncased with a max sequence length of 300.# Config details
Training and evaluation was done using the following BertConfig:# Original authors

QuReTeC model from the published SIGIR 2020 paper: Query Resolution for Conversational Search with Limited Supervision by N. Voskarides, D. Li, P. Ren, E. Kanoulas and M. de Rijke. [[pdf]](URL# Contributions

Uploaded by G. Scheuer (website)