SOTAVerified

Slot Filling

The goal of Slot Filling is to identify from a running dialog different slots, which correspond to different parameters of the user’s query. For instance, when a user queries for nearby restaurants, key slots for location and preferred food are required for a dialog system to retrieve the appropriate information. Thus, the main challenge in the slot-filling task is to extract the target entity.

Source: Real-time On-Demand Crowd-powered Entity Extraction

Image credit: Robust Retrieval Augmented Generation for Zero-shot Slot Filling

Papers

Showing 301350 of 458 papers

TitleStatusHype
基于BERT的意图分类与槽填充联合方法(Joint Method of Intention Classification and Slot Filling Based on BERT)0
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach0
Joint Intent Detection And Slot Filling Based on Continual Learning Model0
Joint Intent Detection and Slot Filling with Wheel-Graph Attention Networks0
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding0
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks0
Joint Multiple Intent Detection and Slot Filling via Self-distillation0
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks0
KGI: An Integrated Framework for Knowledge Intensive Language Tasks0
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data0
Knowledge Base Population for Organization Mentions in Email0
LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modeling0
LD-SDS: Towards an Expressive Spoken Dialogue System based on Linked-Data0
Lean Question Answering over Freebase from Scratch0
Learning Constraints for Consistent Timeline Extraction0
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network0
Learning Relational Dependency Networks for Relation Extraction0
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling0
Learning to Classify Intents and Slot Labels Given a Handful of Examples0
Learning to Embed Semantic Correspondence for Natural Language Understanding0
Leveraging Linguistic Structure For Open Domain Information Extraction0
Leveraging Non-Conversational Tasks for Low Resource Slot Filling: Does it help?0
Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling0
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling0
Linguistically-Enriched and Context-Aware Zero-shot Slot Filling0
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual0
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation0
LIST-LUX: Disorder Identification from Clinical Texts0
Local-to-global learning for iterative training of production SLU models on new features0
Making Document-Level Information Extraction Right for the Right Reasons0
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding0
mcBERT: Momentum Contrastive Learning with BERT for Zero-Shot Slot Filling0
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference0
MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling0
Mention Extraction and Linking for SQL Query Generation0
面向中文口语理解的基于依赖引导的字特征槽填充模型(A Dependency-Guided Character-Based Slot Filling Model for Chinese Spoken Language Understanding)0
Mining Search Query Logs for Spoken Language Understanding0
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN0
Modeling with Recurrent Neural Networks for Open Vocabulary Slots0
Modelling Human Clarification Strategies0
Multi-Domain Adversarial Learning for Slot Filling in Spoken Language Understanding0
Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model0
Multi-Sentence Argument Linking0
Name-aware Machine Translation0
NASTIA: Negotiating Appointment Setting Interface0
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances0
Training Zero-Shot Generalizable End-to-End Task-Oriented Dialog System Without Turn-level Dialog Annotations0
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context0
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation0
Neuralizing Regular Expressions for Slot Filling0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1single ngramKILT-AC73.2Unverified
2KGI_1KILT-AC72.31Unverified
3MetaRAGKILT-AC71.1Unverified
4KGI_0 (reupload)KILT-AC68.32Unverified
5WikipediaKILT-AC67.2Unverified
6Multitask DPR + BARTKILT-AC50.64Unverified
710kKILT-AC41.34Unverified
8DensePhrasesKILT-AC41.34Unverified
9RAGKILT-AC36.83Unverified
10Coop. Distil BertKILT-AC34.13Unverified
#ModelMetricClaimedVerifiedStatus
1Re2GKILT-AC75.84Unverified
2KGI_1KILT-AC69.14Unverified
3WikipediaKILT-AC64.64Unverified
4MetaRAGKILT-AC61.88Unverified
5single ngramKILT-AC60.08Unverified
6KGI_0 (reupload)KILT-AC55.54Unverified
7Coop. DistilBertKILT-AC36.68Unverified
8DensePhrasesKILT-AC27.84Unverified
910kKILT-AC27.84Unverified
10RAGKILT-AC23.12Unverified
#ModelMetricClaimedVerifiedStatus
1BiSLUMicro F197.2Unverified
2SLIM (PACL)Micro F196.8Unverified
3SLIMMicro F196.5Unverified
4Uni-MISMicro F196.4Unverified
5TFMNMicro F196.4Unverified
6TFMN (PACL)Micro F196.3Unverified
7RoBERTa (PACL)Micro F196.2Unverified
8DGIFMicro F195.9Unverified
9SSRANMicro F195.8Unverified
10MISCAMicro F195.2Unverified
#ModelMetricClaimedVerifiedStatus
1MISCAMicro F190.5Unverified
2Co-guiding NetMicro F189.8Unverified
3SSRANMicro F189.4Unverified
4BiSLUMicro F189.4Unverified
5UGENMicro F189.2Unverified
6Topic InformationMicro F188.7Unverified
7SLIMMicro F188.5Unverified
8Global Intent-Slot Co-occurenceMicro F188.5Unverified
9DGIFMicro F188.5Unverified
10Uni-MISMicro F188.3Unverified
#ModelMetricClaimedVerifiedStatus
1CTRANF10.98Unverified
2Bi-model with a decoderF10.97Unverified
3Joint BERTF10.96Unverified
4Stack-Propagation (+BERT)F10.96Unverified
5JointBERT-CAEF10.96Unverified
6AGIFF10.96Unverified
7Joint BERT + CRFF10.96Unverified
8Attention Encoder-Decoder NNF10.96Unverified
9Context EncoderF10.96Unverified
10SF-IDF10.96Unverified
#ModelMetricClaimedVerifiedStatus
1CTRANF198.3Unverified
2Stack-Propagation (+BERT)F197Unverified
3JointBERT-CAEF197Unverified
4AGIFF194.8Unverified
5Stack-PropagationF194.2Unverified
6Context EncoderF193.6Unverified
7SF-IDF192.23Unverified
8Slot-Gated BLSTM with AttensionF188.8Unverified
9DecomposedMetaSLF1 (1-shot) avg74.89Unverified
10Capsule-NLUF10.92Unverified
#ModelMetricClaimedVerifiedStatus
1TDT 0-6F10.81Unverified
2Partially Fine-tuned HuBERTF10.75Unverified
3Multi-SLURPF10.64Unverified
4Finstreder (Conformer)F10.4Unverified
5Finstreder (Quartznet)F10.31Unverified
#ModelMetricClaimedVerifiedStatus
1XLM-R BaseSlot F1 Score83.6Unverified
2mT5 Base (encoder-only)Slot F1 Score82.2Unverified
3mT5 Base (text-to-text)Slot F1 Score81.3Unverified
#ModelMetricClaimedVerifiedStatus
1JointBERT-CAESlot F195.5Unverified
#ModelMetricClaimedVerifiedStatus
1CM-NetF186.16Unverified
#ModelMetricClaimedVerifiedStatus
1MIDASF1 score98.56Unverified
#ModelMetricClaimedVerifiedStatus
1MIDASF1 score99.28Unverified
#ModelMetricClaimedVerifiedStatus
1Fashion GAEFITB96.9Unverified
#ModelMetricClaimedVerifiedStatus
1General SLU Model w/ ProfileF10.83Unverified