Source code for nlp_architect.models.cross_doc_sieves

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# Copyright 2017-2018 Intel Corporation
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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import logging
from typing import List

from nlp_architect.common.cdc.cluster import Clusters
from nlp_architect.common.cdc.topics import Topics
from nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system import get_run_system
from nlp_architect.models.cross_doc_coref.system.sieves_container_init import \
    SievesContainerInitialization

logger = logging.getLogger(__name__)


[docs]def run_event_coref(topics: Topics, resources: SievesContainerInitialization) -> List[Clusters]: """ Running Cross Document Coref on event mentions Args: topics : The Topics (with mentions) to evaluate resources: resources for running the evaluation Returns: Clusters: List of clusters and mentions with predicted cross doc coref within each topic """ return _run_coref(topics, resources, 'event')
[docs]def run_entity_coref(topics: Topics, resources: SievesContainerInitialization) -> List[Clusters]: """ Running Cross Document Coref on Entity mentions Args: topics : The Topics (with mentions) to evaluate resources: (SievesContainerInitialization) resources for running the evaluation Returns: Clusters: List of topics and mentions with predicted cross doc coref within each topic """ return _run_coref(topics, resources, 'entity')
def _run_coref(topics: Topics, resources: SievesContainerInitialization, eval_type: str) -> List[Clusters]: """ Running Cross Document Coref on Entity mentions Args: resources: (SievesContainerInitialization) resources for running the evaluation topics : The Topics (with mentions) to evaluate Returns: Clusters: List of topics and mentions with predicted cross doc coref within each topic """ clusters_list = list() for topic in topics.topics_list: sieves_list = get_run_system(topic, resources, eval_type) clusters = sieves_list.run_deterministic() clusters.set_coref_chain_to_mentions() clusters_list.append(clusters) return clusters_list