paper-with-me

Dialogue State Tracking 벤치마크

Dialogue State Tracking on Wizard-of-Oz

10개 결과 · ⬇ CSV · JSON

Joint

84.4 86.14 87.89 89.63 91.37 2016-06 2026-09 Neural belief tracker — 84.4 (2016-06-12) Zhong et al. — 88.1 (2018-05-19) StateNet — 88.9 (2018-10-22) GCE — 88.5 (2018-12-03) G-SAT — 88.7 (2019-10-22) BERT-based tracker — 90.5 (2019-10-28) Seq2Seq-DU-w/oSchema — 91.2 (2020-11-18) T5 (span) — 91.0 (2021-08-31) AG-DST — 91.37 (2021-10-29) Neural belief tracker — 84.4 (2016-06-12) Zhong et al. — 88.1 (2018-05-19) StateNet — 88.9 (2018-10-22) BERT-based tracker — 90.5 (2019-10-28) Seq2Seq-DU-w/oSchema — 91.2 (2020-11-18) AG-DST — 91.37 (2021-10-29)
RankModel JointRequest PaperCodeYear
1 AG-DST 91.37– Amendable Generation for Dialogue State Tracking PaddlePaddle/Knover 2021
2 Seq2Seq-DU-w/oSchema 91.2– A Sequence-to-Sequence Approach to Dialogue State Tracking sweetalyssum/Seq2Seq-DU 2020
3 T5 (span) 91– Effective Sequence-to-Sequence Dialogue State Tracking smartyfh/MultiWOZ2.4 2021
4 BERT-based tracker 90.597.6 A Simple but Effective BERT Model for Dialog State Tracking on Resource-Limited Systems 2019
5 StateNet 88.9– Towards Universal Dialogue State Tracking renll/StateNet 2018
6 G-SAT 88.796.9 Scalable Neural Dialogue State Tracking vevake/GSAT 2019
7 GCE 88.597.4 Toward Scalable Neural Dialogue State Tracking Model elnaaz/GCE-Model 2018
8 Zhong et al. 88.197.1 Global-Locally Self-Attentive Dialogue State Tracker salesforce/glad · kolk/MODELING-ASR-AMBIGUITY-FOR-NEURAL-DIALOGUE-STATE-TRACKING-USING-WORD-CONFUSION-NETWORKS 2018
9 Neural belief tracker 84.496.5 Neural Belief Tracker: Data-Driven Dialogue State Tracking 2016
10 RNN 70.887.1
1–10 / 10 페이지당 10 20 50 100