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 201–250 of 458 papers

TitleStatusHype
Bi-directional Joint Neural Networks for Intent Classification and Slot Filling—0
Biography-Dependent Collaborative Entity Archiving for Slot Filling—0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding—0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch—0
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding—0
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?—0
Challenges in the Knowledge Base Population Slot Filling Task—0
Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems—0
CIF-PT: Bridging Speech and Text Representations for Spoken Language Understanding via Continuous Integrate-and-Fire Pre-Training—0
Reinforcement learning of minimalist grammars—0
Reinforcement Learning of Minimalist Numeral Grammars—0
Reinforcement Learning of Question-Answering Dialogue Policies for Virtual Museum Guides—0
Reinforcement Learning of Two-Issue Negotiation Dialogue Policies—0
Relabeling Distantly Supervised Training Data for Temporal Knowledge Base Population—0
RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population—0
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming—0
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations—0
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling—0
Schema Graph-Guided Prompt for Multi-Domain Dialogue State Tracking—0
SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising—0
Segmenting Natural Language Sentences via Lexical Unit Analysis—0
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding—0
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations—0
SemEval-2015 Task 14: Analysis of Clinical Text—0
Semi-Supervised Few-Shot Intent Classification and Slot Filling—0
Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding—0
Sequential Labeling for Tracking Dynamic Dialog States—0
ShopTalk: A System for Conversational Faceted Search—0
Simple is Better! Lightweight Data Augmentation for Low Resource Slot Filling and Intent Classification—0
Simulating ASR errors for training SLU systems—0
Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies—0
Slot Filling for Biomedical Information Extraction—0
Slot Transferability for Cross-domain Slot Filling—0
Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language—0
Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language—0
Speech2Slot: An End-to-End Knowledge-based Slot Filling from Speech—0
Speech-based Slot Filling using Large Language Models—0
Spoken Dialogue for Information Navigation—0
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction—0
Spoken Language Understanding for Task-oriented Dialogue Systems with Augmented Memory Networks—0
Stacked Ensembles of Information Extractors for Knowledge-Base Population—0
Stacking With Auxiliary Features—0
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization—0
Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling—0
Supervised and Unsupervised Ensembling for Knowledge Base Population—0
Supporting Spoken Assistant Systems with a Graphical User Interface that Signals Incremental Understanding and Prediction State—0
Syntactic Graph Convolutional Network for Spoken Language Understanding—0
TaDSE: Template-aware Dialogue Sentence Embeddings—0
Task Conditioned BERT for Joint Intent Detection and Slot-filling—0
Show:102550
← PrevPage 5 of 10Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1single ngramKILT-AC73.2—Unverified
2KGI_1KILT-AC72.31—Unverified
3MetaRAGKILT-AC71.1—Unverified
4KGI_0 (reupload)KILT-AC68.32—Unverified
5WikipediaKILT-AC67.2—Unverified
6Multitask DPR + BARTKILT-AC50.64—Unverified
710kKILT-AC41.34—Unverified
8DensePhrasesKILT-AC41.34—Unverified
9RAGKILT-AC36.83—Unverified
10Coop. Distil BertKILT-AC34.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Re2GKILT-AC75.84—Unverified
2KGI_1KILT-AC69.14—Unverified
3WikipediaKILT-AC64.64—Unverified
4MetaRAGKILT-AC61.88—Unverified
5single ngramKILT-AC60.08—Unverified
6KGI_0 (reupload)KILT-AC55.54—Unverified
7Coop. DistilBertKILT-AC36.68—Unverified
8DensePhrasesKILT-AC27.84—Unverified
910kKILT-AC27.84—Unverified
10RAGKILT-AC23.12—Unverified
#ModelMetricClaimedVerifiedStatus
1BiSLUMicro F197.2—Unverified
2SLIM (PACL)Micro F196.8—Unverified
3SLIMMicro F196.5—Unverified
4Uni-MISMicro F196.4—Unverified
5TFMNMicro F196.4—Unverified
6TFMN (PACL)Micro F196.3—Unverified
7RoBERTa (PACL)Micro F196.2—Unverified
8DGIFMicro F195.9—Unverified
9SSRANMicro F195.8—Unverified
10MISCAMicro F195.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MISCAMicro F190.5—Unverified
2Co-guiding NetMicro F189.8—Unverified
3SSRANMicro F189.4—Unverified
4BiSLUMicro F189.4—Unverified
5UGENMicro F189.2—Unverified
6Topic InformationMicro F188.7—Unverified
7SLIMMicro F188.5—Unverified
8Global Intent-Slot Co-occurenceMicro F188.5—Unverified
9DGIFMicro F188.5—Unverified
10Uni-MISMicro F188.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CTRANF10.98—Unverified
2Bi-model with a decoderF10.97—Unverified
3Joint BERTF10.96—Unverified
4Stack-Propagation (+BERT)F10.96—Unverified
5JointBERT-CAEF10.96—Unverified
6AGIFF10.96—Unverified
7Joint BERT + CRFF10.96—Unverified
8Attention Encoder-Decoder NNF10.96—Unverified
9Context EncoderF10.96—Unverified
10SF-IDF10.96—Unverified
#ModelMetricClaimedVerifiedStatus
1CTRANF198.3—Unverified
2Stack-Propagation (+BERT)F197—Unverified
3JointBERT-CAEF197—Unverified
4AGIFF194.8—Unverified
5Stack-PropagationF194.2—Unverified
6Context EncoderF193.6—Unverified
7SF-IDF192.23—Unverified
8Slot-Gated BLSTM with AttensionF188.8—Unverified
9DecomposedMetaSLF1 (1-shot) avg74.89—Unverified
10Capsule-NLUF10.92—Unverified
#ModelMetricClaimedVerifiedStatus
1TDT 0-6F10.81—Unverified
2Partially Fine-tuned HuBERTF10.75—Unverified
3Multi-SLURPF10.64—Unverified
4Finstreder (Conformer)F10.4—Unverified
5Finstreder (Quartznet)F10.31—Unverified
#ModelMetricClaimedVerifiedStatus
1XLM-R BaseSlot F1 Score83.6—Unverified
2mT5 Base (encoder-only)Slot F1 Score82.2—Unverified
3mT5 Base (text-to-text)Slot F1 Score81.3—Unverified
#ModelMetricClaimedVerifiedStatus
1JointBERT-CAESlot F195.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CM-NetF186.16—Unverified
#ModelMetricClaimedVerifiedStatus
1MIDASF1 score98.56—Unverified
#ModelMetricClaimedVerifiedStatus
1MIDASF1 score99.28—Unverified
#ModelMetricClaimedVerifiedStatus
1Fashion GAEFITB96.9—Unverified
#ModelMetricClaimedVerifiedStatus
1General SLU Model w/ ProfileF10.83—Unverified