About

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

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Greatest papers with code

Learning End-to-End Goal-Oriented Dialog

24 May 2016facebookresearch/ParlAI

We show similar result patterns on data extracted from an online concierge service.

GOAL-ORIENTED DIALOG SLOT FILLING

Data Programming: Creating Large Training Sets, Quickly

NeurIPS 2016 HazyResearch/snorkel

Additionally, in initial user studies we observed that data programming may be an easier way for non-experts to create machine learning models when training data is limited or unavailable.

SLOT FILLING

KILT: a Benchmark for Knowledge Intensive Language Tasks

4 Sep 2020facebookresearch/KILT

We test both task-specific and general baselines, evaluating downstream performance in addition to the ability of the models to provide provenance.

ENTITY LINKING FACT CHECKING FACT VERIFICATION OPEN-DOMAIN DIALOG OPEN-DOMAIN QUESTION ANSWERING SLOT FILLING

Neural Baby Talk

CVPR 2018 jiasenlu/NeuralBabyTalk

We introduce a novel framework for image captioning that can produce natural language explicitly grounded in entities that object detectors find in the image.

IMAGE CAPTIONING SLOT FILLING

Position-aware Attention and Supervised Data Improve Slot Filling

EMNLP 2017 yuhaozhang/tacred-relation

The combination of better supervised data and a more appropriate high-capacity model enables much better relation extraction performance.

KNOWLEDGE BASE POPULATION KNOWLEDGE GRAPHS RELATION EXTRACTION SLOT FILLING

Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

NAACL 2018 MiuLab/SlotGated-SLU

Attention-based recurrent neural network models for joint intent detection and slot filling have achieved the state-of-the-art performance, while they have independent attention weights.

GLOBAL OPTIMIZATION INTENT DETECTION SLOT FILLING SPOKEN DIALOGUE SYSTEMS SPOKEN LANGUAGE UNDERSTANDING

BERT for Joint Intent Classification and Slot Filling

28 Feb 2019monologg/JointBERT

Intent classification and slot filling are two essential tasks for natural language understanding.

CLASSIFICATION INTENT CLASSIFICATION NATURAL LANGUAGE UNDERSTANDING SLOT FILLING

Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling

6 Sep 2016DSKSD/RNN-for-Joint-NLU

Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition.

INTENT CLASSIFICATION INTENT DETECTION SLOT FILLING

A Knowledge-Grounded Neural Conversation Model

7 Feb 2017mgalley/DSTC7-End-to-End-Conversation-Modeling

We generalize the widely-used Seq2Seq approach by conditioning responses on both conversation history and external "facts", allowing the model to be versatile and applicable in an open-domain setting.

SLOT FILLING