TimSchopf
/

nlp_taxonomy_classifier

+{
+ "_name_or_path": "TimSchopf/specter2_nlp_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
+}

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