andersonsacramento/tei repository overview

⁠TEI

TEI - TimeBankPT Event Identification

⁠DESCRIPTION

TEI is an event trigger identifier system for sentences in the Portuguese language. It locates the event trigger terms in a sentence. The model was trained on the TimeBankPT (COSTA; BRANCO,2012) corpus.

The system outputs the identified events in the following Json format:

[
    {
        "text": "Vazamentos",
        "start": 0,
        "end": 10
    },
    {
        "text": "expõem",
        "start": 20,
        "end": 26
    },
    {
        "text": "diz",
        "start": 62,
        "end": 65
    }
]

The andersonsacramento/tei Docker image reads in an input directory of text files and writes Json document files to an output directory or it reads a sentence and prints the output on the standard output in Json format.

The text files in the input directory are expected to have the format:

* all text files end with the extension .txt
* sentences are separated by newlines

In order to read and write files on the Docker host, the container needs to be run with appropriate Docker volume⁠ flags (e.g. -v/--volume/--mount).

If the working directory on the Docker host contains a sub-directory named input-files/, then the container could be run using:

$ docker run -it --rm  -v  `pwd`:/mnt andersonsacramento/tei --dir /mnt/input-files/  /mnt/output-files/

In order to run the container on a given sentence, it can be invoked using:

$ docker run -it  --rm andersonsacramento/tei --sentence Vazamentos de dados expõem senhas de funcionários do governo, diz relatório.'

⁠How to cite this work

Peer-reviewed accepted paper:

• Sacramento, A., Souza, M.: Joint Event Extraction with Contextualized Word Embeddings for the Portuguese Language. In: 10th Brazilian Conference on Intelligent System, BRACIS, São Paulo, Brazil, from November 29 to December 3, 2021.