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 101–150 of 458 papers

TitleStatusHype
Continual Learning with Dirichlet Generative-based Rehearsal—0
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack—0
Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline—0
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding—0
Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study—0
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems—0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources—0
A Sequence-to-sequence Approach for Numerical Slot-filling Dialog Systems—0
CUAB: Supervised Learning of Disorders and their Attributes using Relations—0
Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding—0
Combining Word Feature Vector Method with the Convolutional Neural Network for Slot Filling in Spoken Language Understanding—0
Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding—0
Combining Supervised and Unsupervised Enembles for Knowledge Base Population—0
Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data—0
DBpedia: A Multilingual Cross-domain Knowledge Base—0
Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model—0
Augmenting Task-Oriented Dialogue Systems with Relation Extraction—0
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling—0
An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants—0
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction—0
Developing Dataset of Japanese Slot Filling Quizzes Designed for Evaluation of Machine Reading Comprehension—0
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems—0
Dialogue Management based on Sentence Clustering—0
Distant-Supervised Slot-Filling for E-Commerce Queries—0
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding—0
Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning—0
Combining Distant and Partial Supervision for Relation Extraction—0
A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications—0
Co-guiding for Multi-intent Spoken Language Understanding—0
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding—0
A Joint Learning Framework With BERT for Spoken Language Understanding—0
A deep learning approach for understanding natural language commands for mobile service robots—0
A Robust Shallow Temporal Reasoning System—0
CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling—0
A Joint and Domain-Adaptive Approach to Spoken Language Understanding—0
CIF-PT: Bridging Speech and Text Representations for Spoken Language Understanding via Continuous Integrate-and-Fire Pre-Training—0
Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems—0
A Progressive Model to Enable Continual Learning for Semantic Slot Filling—0
Feature Representation Learning for NL2SQL Generation Based on Coupling and Decoupling—0
Challenges in the Knowledge Base Population Slot Filling Task—0
A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding—0
Applications of NLG in practical conversational AI settings—0
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?—0
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding—0
AISFG: Abundant Information Slot Filling Generator—0
Federated Learning for Spoken Language Understanding—0
Few-shot Intent Classification and Slot Filling with Retrieved Examples—0
A Graph-to-Sequence Model for Joint Intent Detection and Slot Filling in Task-Oriented Dialogue Systems—0
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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