semvec/pypi-packages huggingface dataset:
semsim 1.1.1
A free tool for sentence similarity evaluation
License: BSD 3-Clause License
Requires Python: >=3.9
Keywords: NLP,dependency parsing,CoNLL-U,sentence similarity

# semsim

Compare texts easily with `semsim` Python package!

## Features
- Dozens of **parameters** to be tuned by you for better performance!
- **Default values** of all the parameters validated on datasets for paraphrase detection task
- 6 different **algorithms** for efficient syntax tree comparison
- A small pack of **standard "built-in" models** which can be easily downloaded via `semsim` package itself
- Flexible **class taxonomy** which you can extend by simply inheriting from one of the model base classes
- Python library `semsim` with **command line interface** (powered by `click`)

## Dependencies
- attrs
- click
- networkx
- numpy
- pymorphy2
- scipy
- simple_elmo
- tensorflow
- tensorrt
- textract
- torch
- torch-geometric
- torch-scatter
- torch-sparse
- torchwordemb
- tqdm
- ufal.udpipe

## Quick start
To install `semsim` simply run:

`pip install semsim`

---
> **NOTE**: If you encounter problems when installing `semsim` package,
> consider first installing some prerequisites in advance:
> `$ pip install torch tensorflow tensorrt`
> Then proceed to install `semsim`.
---

Now you can use `semsim` CLI tool as follows:

`$ semsim first_src.txt second_src.txt -o output.txt`

You might want to download standard "built-in" (or we should say "add-on") models for better performance.
This can be done by executing the following line:

`$ semsim download cbow`

for fetching pretrained CBOW embeddings or

`$ semsim download -a`

for downloading **all** the add-ons at once in parallel.

More info can be found on the [documentation](https://pysemsim.readthedocs.io) page.

## Codestyle linters and test frameworks
This library has been fully checked and tested with the following tools:
- flake8
- mypy
- pydocstyle
- pytest

## Interface
CLI interface is described in the [examples](https://pysemsim.readthedocs.io/examples)
section of [documentation](https://pysemsim.readthedocs.io).
This is how you can use `semsim` CLI tool:

`$ semsim compare first_src.txt second_src.txt -e cbow -k neural -o output.txt --max-out-pairs 200 -v`

## Authors
- [Mathematician2000](https://gitlab.com/Mathematician2000)