Latent Argument Model
Python 3
Numpy
Scipy
NLTK
Pyyaml
To avoid problems with previous versions of software already installed in your system, create a virtualenv is a good option:
mkdir $HOME/env
virtualenv -p python3 $HOME/env/LAMenv
source $HOME/env/LAMenv/bin/activate
pip install nltk numpy scipy stop_words pyyaml
lam.py (class implementing the latent argument model)
explore_lam.py (a script to explore different LAM configurations based on the content of configuration.xml)
configuration.yml
|_data
|_ mpqa_subjectivity_priors.txt
|_model_init
|_ subjective_lexicon.py (functions to convert the MPQA subjective lexicon into
a file of subjectivity priors)
|_eval
hcd.tsv (The House of Common Debate corpus)
PATH_DOCS: Docs to process
PATH_SUBJECTIVITY_DATA: Path to the file containing the subjectivity priors
PATH_OUTPUT: Path to the directory where the output will be stored
TOPICS: Number of topics to explore (separated by commas)
VIEWPOINTS: Number of viewpoints per topic (separated by commas)
X: switch strategy lex_pos|pos|lex|random|cpt
|_lex_pos: Uses subjectivity priors and postags to assign an initial type to each word.
|_lex: Uses subjectivity priors to assign an initial type to each word.
|_pos: Uses part-of-speech tags to assign an initial type to each word.
|_random: Each word is initially assigned a type randomly.
|_cpt: The way the sampling is done is also different (topics and viewpoints are sampled separately)
SENTENCE_EXTRACTION: discriminative|generative
WORD_ASSIGNMENT: regular
RUNNING_METHOD: topics_first
HIGH_VIEWPOINT_HIGH_TOPIC: true|false. True if a sentence only can be top perspective sentence iff it is
representative of the corresponding topic more than any otherone else.
REMOVE_AMBIGUOUS_VIEWPOINT_SENTENCES: true|false. True for not to considering top perspective sentences those
occurring at more than one perspective.
PATH_PALMETTO_PYSCRIPT
PATH_PALMETTO_JAR: Download from: http://139.18.2.164/mroeder/palmetto/palmetto-0.1.0-jar-with-dependencies.jar
PATH_WIKIPEDIA_DUMP: Download from http://139.18.2.164/mroeder/palmetto/Wikipedia_bd.zip
cd lam-master
python explore_lam.py configuration.yml
If you have created a virtualenv to run LAM, do not forget to first activate it:
cd lam-master
source $HOME/env/LAMenv/bin/activate
python explore_lam.py configuration.yml
For questions, usage issues, bugs, etc, please contact: david.vilares@udc.es
David Vilares and Yulan He, Detecting Perspectives in Political Debates. In the Proceedings of The 14th International Conference on Empirical Methods on Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, Sep. 2017.