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 351400 of 458 papers

TitleStatusHype
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding0
A Sequence-to-sequence Approach for Numerical Slot-filling Dialog Systems0
A Statistical Spoken Dialogue System using Complex User Goals and Value Directed Compression0
A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog0
A survey of joint intent detection and slot-filling models in natural language understanding0
A Transformer-based Threshold-Free Framework for Multi-Intent NLU0
Attention-based Semantic Priming for Slot-filling0
A Two-stage Model for Slot Filling in Low-resource Settings: Domain-agnostic Non-slot Reduction and Pretrained Contextual Embeddings0
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU0
Augmenting Task-Oriented Dialogue Systems with Relation Extraction0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs0
Automatic Intent-Slot Induction for Dialogue Systems0
A weakly supervised sequence tagging and grammar induction approach to semantic frame slot filling0
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures0
ESIE-BERT: Enriching Sub-words Information Explicitly with BERT for Joint Intent Classification and SlotFilling0
Back to the Future for Dialogue Research: A Position Paper0
Balanced Joint Adversarial Training for Robust Intent Detection and Slot Filling0
Beyond Turing: Intelligent Agents Centered on the User0
Bi-directional Joint Neural Networks for Intent Classification and Slot Filling0
Biography-Dependent Collaborative Entity Archiving for Slot Filling0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque0
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch0
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding0
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?0
Challenges in the Knowledge Base Population Slot Filling Task0
Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems0
CIF-PT: Bridging Speech and Text Representations for Spoken Language Understanding via Continuous Integrate-and-Fire Pre-Training0
CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling0
Co-guiding for Multi-intent Spoken Language Understanding0
Combining Distant and Partial Supervision for Relation Extraction0
Combining Supervised and Unsupervised Enembles for Knowledge Base Population0
Combining Word Feature Vector Method with the Convolutional Neural Network for Slot Filling in Spoken Language Understanding0
Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text0
Comparing Automatic Evaluation Measures for Image Description0
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling0
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection0
Confidence Estimation for Knowledge Base Population0
Contextual Slot Carryover for Disparate Schemas0
Continual Learning with Dirichlet Generative-based Rehearsal0
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack0
Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline0
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding0
Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study0
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources0
CUAB: Supervised Learning of Disorders and their Attributes using Relations0
Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding0
Data Augmentation for Personal Knowledge Base Population0
Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding0
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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