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Agents

This directory contains a variety of different agents which use ParlAI's interface.

Utility

  • local_human: receives human input from the terminal. used for interactive mode, e.g. parlai/scripts/interactive.py.
  • legacy_agents: contains deprecated agent code for posterity
  • random_candidate: returns a random candidate, if candidates are available. simple baseline agent.
  • repeat_label: sends back the label if available. good for sanity checks such as checking statistics of the base dataset.
  • repeat_query: repeats whatever is said to it. simple baseline agent.

Non-neural agents

  • ir_baseline: chooses response based on simple word overlap
  • retriever_reader: used primarily for OpenSquad evaluation. retrieves documents from database and reads them back
  • tfidf_retriever: returns candidate responses based on tfidf overlap
  • unigram: returns top unigrams

Text-based neural networks

  • bert_ranker: BERT-based bi-ranker and cross-ranker retrieval models
  • drqa: context-based question answering system
  • language_model: simple RNN-based language model
  • memnn: memory network
  • ibm_seq2seq: IBM's RNN-based sequence to sequence model
  • seq2seq: our RNN-based sequence to sequence model
  • starspace: embedding model
  • transformer: both generative and retrieval-based transformer models