David Vilares

semeval24-task3. LyS at SemEval 2024. An Early Prototype for End-to-End Emotion Linking as Graph-Based Parsing

naipar. Better Benchmarking LLMs for Zero-Shot Dependency Parsing

separ. Parsing as Sequence Labeling with Neural Models

xlstm. Official repository of the xLSTM.

x-inflection. Python

incpar. Fully Incremental Neural Dependency and Constituency Parsing

modernfit. A compile-time type-safe HTTP client for Android and Java.

syncap. [EACL 2021] Code and data for our paper "The Role of Syntactic Planning in Compositional Image Captioning"

dl4mt-tutorial. Python

SyntacticPointer. Python

CSrankings. A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

discursos-de-navidad. A corpus of the Christmas speeches delivered by the head of state of Spain from 1937 to 2021

uzbek-sentiment-analysis. Sentiment analysis in Uzbek language and new Datasets of Uzbek App reviews for Sentiment Classification

SemanticPointer. Python

meemi. Improving cross-lingual word embeddings by meeting in the middle

toolkit. Semantic Dependency Parsing Toolkit

tupa. Transition-based UCCA Parser

julius. An open source re-implementation of Caesar III

energy-usage. Provides a function to measure the energy usage of another function.

UD_Galician-TreeGal.

dep2label-up. Dependency Parsing as Sequence Labeling with Python3+ and PyTorch1+ and MTL

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

wikiextractor. A tool for extracting plain text from Wikipedia dumps

ml_nlp_paper_data. Dataset of ML and NLP papers

xDrip. Nightscout version of xDrip+

disco-dop. Discontinuous Data-Oriented Parsing

bert. TensorFlow code and pre-trained models for BERT

SQuAD-explorer. Visually Explore the Stanford Question Answering Dataset

dep2label. Dependency Parsing as Sequence Labeling

spaCy. 💫 Industrial-strength Natural Language Processing (NLP) in Python

NCRFpp. NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

udpipe. UDPipe: Trainable pipeline for tokenizing, tagging, lemmatizing and parsing Universal Treebanks and other CoNLL-U files

keras. Deep Learning for humans