| { |
| "_name_or_path": "TimSchopf/nlp_taxonomy_classifier", |
| "adapters": { |
| "adapters": {}, |
| "config_map": {}, |
| "fusion_config_map": {}, |
| "fusions": {} |
| }, |
| "architectures": [ |
| "BertForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "classifier_dropout": null, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 768, |
| "id2label": { |
| "0": "Multilinguality", |
| "1": "Term Extraction", |
| "2": "Cognitive Modeling", |
| "3": "Information Extraction & Text Mining", |
| "4": "Responsible & Trustworthy NLP", |
| "5": "Numerical Reasoning", |
| "6": "Phonology", |
| "7": "Code-Switching", |
| "8": "Reasoning", |
| "9": "Topic Modeling", |
| "10": "Speech Recognition", |
| "11": "Natural Language Interfaces", |
| "12": "Representation Learning", |
| "13": "Coreference Resolution", |
| "14": "Dialogue Response Generation", |
| "15": "Syntactic Text Processing", |
| "16": "Data-to-Text Generation", |
| "17": "Ethical NLP", |
| "18": "Knowledge Representation", |
| "19": "Cross-Lingual Transfer", |
| "20": "Visual Data in NLP", |
| "21": "Text Segmentation", |
| "22": "Textual Inference", |
| "23": "Aspect-based Sentiment Analysis", |
| "24": "Information Retrieval", |
| "25": "Open Information Extraction", |
| "26": "Text Error Correction", |
| "27": "Question Answering", |
| "28": "Syntactic Parsing", |
| "29": "Text Clustering", |
| "30": "Summarization", |
| "31": "Event Extraction", |
| "32": "Paraphrasing", |
| "33": "Polarity Analysis", |
| "34": "Named Entity Recognition", |
| "35": "Text Style Transfer", |
| "36": "Text Classification", |
| "37": "Machine Reading Comprehension", |
| "38": "Dialogue Systems & Conversational Agents", |
| "39": "Captioning", |
| "40": "Semantic Parsing", |
| "41": "Semantic Search", |
| "42": "Text Complexity", |
| "43": "Chunking", |
| "44": "Code Generation", |
| "45": "Typology", |
| "46": "Fact & Claim Verification", |
| "47": "Text Generation", |
| "48": "Linguistics & Cognitive NLP", |
| "49": "Opinion Mining", |
| "50": "Structured Data in NLP", |
| "51": "Machine Translation", |
| "52": "Language Models", |
| "53": "Semantic Similarity", |
| "54": "Knowledge Graph Reasoning", |
| "55": "Programming Languages in NLP", |
| "56": "Document Retrieval", |
| "57": "Linguistic Theories", |
| "58": "Robustness in NLP", |
| "59": "Text Normalization", |
| "60": "Argument Mining", |
| "61": "Emotion Analysis", |
| "62": "Commonsense Reasoning", |
| "63": "Tagging", |
| "64": "Phonetics", |
| "65": "Word Sense Disambiguation", |
| "66": "Passage Retrieval", |
| "67": "Stylistic Analysis", |
| "68": "Green & Sustainable NLP", |
| "69": "Indexing", |
| "70": "Speech & Audio in NLP", |
| "71": "Discourse & Pragmatics", |
| "72": "Semantic Text Processing", |
| "73": "Morphology", |
| "74": "Multimodality", |
| "75": "Relation Extraction", |
| "76": "Question Generation", |
| "77": "Psycholinguistics", |
| "78": "Sentiment Analysis", |
| "79": "Intent Recognition", |
| "80": "Low-Resource NLP", |
| "81": "Explainability & Interpretability in NLP" |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "label2id": { |
| "Argument Mining": 60, |
| "Aspect-based Sentiment Analysis": 23, |
| "Captioning": 39, |
| "Chunking": 43, |
| "Code Generation": 44, |
| "Code-Switching": 7, |
| "Cognitive Modeling": 2, |
| "Commonsense Reasoning": 62, |
| "Coreference Resolution": 13, |
| "Cross-Lingual Transfer": 19, |
| "Data-to-Text Generation": 16, |
| "Dialogue Response Generation": 14, |
| "Dialogue Systems & Conversational Agents": 38, |
| "Discourse & Pragmatics": 71, |
| "Document Retrieval": 56, |
| "Emotion Analysis": 61, |
| "Ethical NLP": 17, |
| "Event Extraction": 31, |
| "Explainability & Interpretability in NLP": 81, |
| "Fact & Claim Verification": 46, |
| "Green & Sustainable NLP": 68, |
| "Indexing": 69, |
| "Information Extraction & Text Mining": 3, |
| "Information Retrieval": 24, |
| "Intent Recognition": 79, |
| "Knowledge Graph Reasoning": 54, |
| "Knowledge Representation": 18, |
| "Language Models": 52, |
| "Linguistic Theories": 57, |
| "Linguistics & Cognitive NLP": 48, |
| "Low-Resource NLP": 80, |
| "Machine Reading Comprehension": 37, |
| "Machine Translation": 51, |
| "Morphology": 73, |
| "Multilinguality": 0, |
| "Multimodality": 74, |
| "Named Entity Recognition": 34, |
| "Natural Language Interfaces": 11, |
| "Numerical Reasoning": 5, |
| "Open Information Extraction": 25, |
| "Opinion Mining": 49, |
| "Paraphrasing": 32, |
| "Passage Retrieval": 66, |
| "Phonetics": 64, |
| "Phonology": 6, |
| "Polarity Analysis": 33, |
| "Programming Languages in NLP": 55, |
| "Psycholinguistics": 77, |
| "Question Answering": 27, |
| "Question Generation": 76, |
| "Reasoning": 8, |
| "Relation Extraction": 75, |
| "Representation Learning": 12, |
| "Responsible & Trustworthy NLP": 4, |
| "Robustness in NLP": 58, |
| "Semantic Parsing": 40, |
| "Semantic Search": 41, |
| "Semantic Similarity": 53, |
| "Semantic Text Processing": 72, |
| "Sentiment Analysis": 78, |
| "Speech & Audio in NLP": 70, |
| "Speech Recognition": 10, |
| "Structured Data in NLP": 50, |
| "Stylistic Analysis": 67, |
| "Summarization": 30, |
| "Syntactic Parsing": 28, |
| "Syntactic Text Processing": 15, |
| "Tagging": 63, |
| "Term Extraction": 1, |
| "Text Classification": 36, |
| "Text Clustering": 29, |
| "Text Complexity": 42, |
| "Text Error Correction": 26, |
| "Text Generation": 47, |
| "Text Normalization": 59, |
| "Text Segmentation": 21, |
| "Text Style Transfer": 35, |
| "Textual Inference": 22, |
| "Topic Modeling": 9, |
| "Typology": 45, |
| "Visual Data in NLP": 20, |
| "Word Sense Disambiguation": 65 |
| }, |
| "layer_norm_eps": 1e-12, |
| "max_position_embeddings": 512, |
| "model_type": "bert", |
| "num_attention_heads": 12, |
| "num_hidden_layers": 12, |
| "pad_token_id": 0, |
| "position_embedding_type": "absolute", |
| "problem_type": "multi_label_classification", |
| "torch_dtype": "float32", |
| "transformers_version": "4.24.0", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 31090 |
| } |
|
|
