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Entity linking of personal mentions in multiparty dialogue.

Home Page: http://nlp.mathcs.emory.edu

License: Other

Python 100.00%

coreference-resolution entity-linking multiparty-dialogues corpus

character-identification's Introduction

NLP4J

The NLP4J project provides a NLP toolkit for JVM languages. This project is under the Apache 2 license and is currently developed by the NLP Research Group at Emory University. Please join our forum to get notifications about new releases and give your feedback about this project.

Latest release: 1.1.2 (06/29/2016).
Release notes.
Google groups.

Quick Start

Components

Tokenization.
Morphological analysis.
Part-of-speech tagging.
Named entity recognition.
Dependency parsing.
Semantic role labeling (coming soon).
Sentiment analysis (coming soon).
Word2Vec & Struct2Vec (coming soon).

Supplements

English lexica and models (hosted in bitbucket).
Data format.

character-identification's People

Contributors

Stargazers

Watchers

Forkers

kyuhwas zhusleep adamszq barryzm sidney1994 marcos0318 las-ncsu

character-identification's Issues

ValueError: resources/fast_50d.bin cannot be opened for loading

Dear Researchers and Developers,

Thank you very much for providing such a brilliant dataset and related experiment scripts.

However, when I tried to run the experiment code provided in the experiment dataset, there is an error like "ValueError: resources/fast_50d.bin cannot be opened for loading!"

I would like to run the demo because I want to have the detailed MUC B3, and Ceaf's p, r, f score for the model in "Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts". I was wondering if you still keep the record of these detailed scores.

Also, I was wondering you have the precision and recall scores for the baselines mentioned in the paper.

Thank you very much!

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