declare-lab / dialogue-understanding

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Date Created 2020-09-07 (3 years ago)

Commits 83 (last one 3 years ago)

Stargazers 124 (0 this week)

Watchers 6 (0 this week)

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RepositoryStats indexes 534,880 repositories, of these declare-lab/dialogue-understanding is ranked #235,463 (56th percentile) for total stargazers, and #285,507 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #42,045/103,597.

declare-lab/dialogue-understanding is also tagged with popular topics, for these it's ranked: pytorch (#3,035/5590), natural-language-processing (#724/1318), bert (#320/537), sentiment-analysis (#112/236), pretrained-models (#136/193), explainable-ai (#58/154), natural-language-understanding (#72/115)

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declare-lab/dialogue-understanding has Github issues enabled, there is 1 open issue and 8 closed issues.

All Topics

bert lstm pytorch dialogue dialogue-act explainable-ai bert-embeddings dialogue-systems emotion-analysis conversational-ai pretrained-models sentiment-analysis adversarial-attacks emotion-recognition conversational-agents dialogue-understanding utterance-level-dialogue natural-language-processing natural-language-understanding emotion-recognition-in-conversation

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updated: 2024-04-17 @ 05:32am, id: 293516551 / R_kgDOEX61Bw