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 1–25 of 458 papers

TitleStatusHype
SALMONN: Towards Generic Hearing Abilities for Large Language ModelsCode3
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented GenerationCode2
Learning Dense Representations of Phrases at ScaleCode2
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse LanguagesCode2
SeaD: End-to-end Text-to-SQL Generation with Schema-aware DenoisingCode2
iobes: A Library for Span-Level ProcessingCode1
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language UnderstandingCode1
iobes: Library for Span Level ProcessingCode1
Efficient Sequence Transduction by Jointly Predicting Tokens and DurationsCode1
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label GraphsCode1
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot FillingCode1
ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot FillerCode1
Intent Classification and Slot Filling for Privacy PoliciesCode1
Intent Detection and Slot Filling for VietnameseCode1
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLPCode1
BERT for Joint Intent Classification and Slot FillingCode1
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMsCode1
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot FillingCode1
A Co-Interactive Transformer for Joint Slot Filling and Intent DetectionCode1
Coach: A Coarse-to-Fine Approach for Cross-domain Slot FillingCode1
CTRAN: CNN-Transformer-based Network for Natural Language UnderstandingCode1
Data Programming: Creating Large Training Sets, QuicklyCode1
Extracting a Knowledge Base of COVID-19 Events from Social MediaCode1
A Multi-Task BERT Model for Schema-Guided Dialogue State TrackingCode1
An Enhanced Span-based Decomposition Method for Few-Shot Sequence LabelingCode1
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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