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 276300 of 458 papers

TitleStatusHype
Learning to Classify Intents and Slot Labels Given a Handful of Examples0
Template-based Question Answering using Recursive Neural NetworksCode0
Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding0
Data Augmentation for Personal Knowledge Base Population0
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems0
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking0
Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing0
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue SystemsCode0
A Joint Learning Framework With BERT for Spoken Language Understanding0
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables0
Multi-Sentence Argument Linking0
Improving Slot Filling by Utilizing Contextual Information0
A Progressive Model to Enable Continual Learning for Semantic Slot Filling0
Planning for Goal-Oriented Dialogue Systems0
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding0
Type-aware Convolutional Neural Networks for Slot Filling0
Recent Advances in End-to-End Spoken Language Understanding0
Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data0
CM-Net: A Novel Collaborative Memory Network for Spoken Language UnderstandingCode0
#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassmentCode0
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language UnderstandingCode0
Leveraging Non-Conversational Tasks for Low Resource Slot Filling: Does it help?0
DELTA: A DEep learning based Language Technology plAtformCode0
Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model0
Rationally Reappraising ATIS-based Dialogue Systems0
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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