Goal-Oriented Dialog
23 papers with code • 1 benchmarks • 6 datasets
Achieving a pre-defined goal through a dialog.
Doc2Dial
DSTC7 Task 1
Most implemented papers
Learning End-to-End Goal-Oriented Dialog
We show similar result patterns on data extracted from an online concierge service.
Sequential Attention-based Network for Noetic End-to-End Response Selection
alibaba/esim-response-selection
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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, for which participants need to select the correct next utterances from a set of candidates for the multi-turn context.
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
In goal-oriented dialog systems, belief trackers estimate the probability distribution of slot-values at every dialog turn.
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
amazon-research/multiatis
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EMNLP 2020
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.
Query-Reduction Networks for Question Answering
uwnlp/qrn
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In this paper, we study the problem of question answering when reasoning over multiple facts is required.
Zero-Shot Dialog Generation with Cross-Domain Latent Actions
snakeztc/NeuralDialog-ZSDG
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WS 2018
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.
Efficient Dialog Policy Learning via Positive Memory Retention
This paper is concerned with the training of recurrent neural networks as goal-oriented dialog agents using reinforcement learning.
Personalization in Goal-Oriented Dialog
chaitjo/personalized-dialog
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The main goal of modeling human conversation is to create agents which can interact with people in both open-ended and goal-oriented scenarios.
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
naver/aqm-plus
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NeurIPS 2018
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.
NE-Table: A Neural key-value table for Named Entities
Many Natural Language Processing (NLP) tasks depend on using Named Entities (NEs) that are contained in texts and in external knowledge sources.
