Dialogue Understanding
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A Repository of Conversational Datasets
WS 2019
• PolyAI-LDN/conversational-datasets
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Progress in Machine Learning is often driven by the availability of large datasets, and consistent evaluation metrics for comparing modeling approaches.
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension
• nlpdata/dream
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DREAM is likely to present significant challenges for existing reading comprehension systems: 84% of answers are non-extractive, 85% of questions require reasoning beyond a single sentence, and 34% of questions also involve commonsense knowledge.
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
• shizhouxing/DialogueDiscourseParsing
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This paper presents a deep sequential model for parsing discourse dependency structures of multi-party dialogues.
DIALOGUE UNDERSTANDING LINK PREDICTION QUESTION ANSWERING RELATION CLASSIFICATION SENTIMENT ANALYSIS
A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
Finally, we evaluate and analyze baseline neural models on a simple subtask that requires recognition of the created common ground.
DIALOGUE UNDERSTANDING GOAL-ORIENTED DIALOG LANGUAGE ACQUISITION
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization
We introduce a novel graph-based framework for abstractive meeting speech summarization that is fully unsupervised and does not rely on any annotations.
SOTA for Meeting Summarization on 300W (using extra training data)
ABSTRACTIVE TEXT SUMMARIZATION DIALOGUE UNDERSTANDING MEETING SUMMARIZATION SENTENCE COMPRESSION WORD EMBEDDINGS
Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning
Multi-role dialogue understanding comprises a wide range of diverse tasks such as question answering, act classification, dialogue summarization etc.
DIALOGUE UNDERSTANDING QUESTION ANSWERING REPRESENTATION LEARNING