Goal-Oriented Dialog

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

24 shown of 24 papers with code (54 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Learning End-to-End Goal-Oriented Dialog
  24 May 2016 6 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  We show similar result patterns on data extracted from an online concierge service.
• Sequential Attention-based Network for Noetic End-to-End Response Selection
  9 Jan 2019 4 repositories listed
  The noetic end-to-end response selection challenge as one track in Dialog System Technology Challenges 7 (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems,…
• End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
  29 Apr 2020 3 repositories listed
  We introduce MultiATIS++, a new multilingual NLU corpus that extends the Multilingual ATIS corpus to nine languages across four language families, and evaluate our method using the corpus.
• SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
  17 Jul 2019 3 repositories listed Syntology ran 4 of 9 samples · 5 unverified · 2 pointer-only (licence)
  In goal-oriented dialog systems, belief trackers estimate the probability distribution of slot-values at every dialog turn.
• Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks
  24 Jan 2021 2 repositories listed
  Given a set of explicit symptoms provided by the patient to initiate a dialog for diagnosing, the system is trained to collect implicit symptoms by asking questions, in order to collect more information for making an…
• Efficient Dialog Policy Learning via Positive Memory Retention
  2 Oct 2018 2 repositories listed
  This paper is concerned with the training of recurrent neural networks as goal-oriented dialog agents using reinforcement learning.
• Zero-Shot Dialog Generation with Cross-Domain Latent Actions
  13 May 2018 2 repositories listed Syntology ran 2 of 5 samples · 3 unverified
  This paper introduces zero-shot dialog generation (ZSDG), as a step towards neural dialog systems that can instantly generalize to new situations with minimal data.
• Query-Reduction Networks for Question Answering
  14 Jun 2016 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  In this paper, we study the problem of question answering when reasoning over multiple facts is required.
• Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
  14 Dec 2021 1 repository listed
  Our method achieves state-of-the-art results on 1-shot and 5-shot intent detection task with gains ranging from 2-8\% points in F1 score on four benchmark datasets.
• On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise
  14 Apr 2021 1 repository listed
  In this work, we investigate how robust IC/SL models are to noisy data.
• Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations
  7 Dec 2020 1 repository listed
  Secondly, even with large training data, the intent detection models can see a different distribution of test data when being deployed in the real world, leading to poor accuracy.
• Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
  25 Oct 2020 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Intent detection is one of the core components of goal-oriented dialog systems, and detecting out-of-scope (OOS) intents is also a practically important skill.
• Effects of Naturalistic Variation in Goal-Oriented Dialog
  5 Oct 2020 1 repository listed
  Existing benchmarks used to evaluate the performance of end-to-end neural dialog systems lack a key component: natural variation present in human conversations.
• ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers
  20 Apr 2020 1 repository listed
  Automatic speech recognition (ASR) via call is essential for various applications, including AI for contact center (AICC) services.
• Sequential Neural Networks for Noetic End-to-End Response Selection
  3 Mar 2020 1 repository listed
  The noetic end-to-end response selection challenge as one track in the 7th Dialog System Technology Challenges (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog…
• Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
  28 Jan 2020 1 repository listed
  Since such models can greatly benefit from user intent and knowledge graph integration, in this paper we propose an RNN-based end-to-end encoder-decoder architecture which is trained with joint embeddings of the…
• An Annotated Corpus of Reference Resolution for Interpreting Common Grounding
  18 Nov 2019 1 repository listed
  Common grounding is the process of creating, repairing and updating mutual understandings, which is a fundamental aspect of natural language conversation.
• Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use
  17 Jul 2019 1 repository listed
  In this work, we propose an end-to-end trainable method for neural goal-oriented dialog systems which handles new user behaviors at deployment by transferring the dialog to a human agent intelligently.
• A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
  8 Jul 2019 1 repository listed
  Finally, we evaluate and analyze baseline neural models on a simple subtask that requires recognition of the created common ground.
• Learning End-to-End Goal-Oriented Dialog with Multiple Answers
  24 Aug 2018 1 repository listed
  We also propose a new and more effective testbed, permuted-bAbI dialog tasks, by introducing multiple valid next utterances to the original-bAbI dialog tasks, which allows evaluation of goal-oriented dialog systems in a…
• NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
  1 Aug 2018 1 repository listed
  We present bot{\#}1337: a dialog system developed for the 1st NIPS Conversational Intelligence Challenge 2017 (ConvAI).
• NE-Table: A Neural key-value table for Named Entities
  22 Apr 2018 1 repository listed
  Many Natural Language Processing (NLP) tasks depend on using Named Entities (NEs) that are contained in texts and in external knowledge sources.
• Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
  12 Feb 2018 1 repository listed
  Goal-oriented dialogue tasks occur when a questioner asks an action-oriented question and an answerer responds with the intent of letting the questioner know a correct action to take.
• Personalization in Goal-Oriented Dialog
  22 Jun 2017 1 repository listed
  The main goal of modeling human conversation is to create agents which can interact with people in both open-ended and goal-oriented scenarios.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.