Search Results for author:
Found 9 papers, 1 papers with code
PROTEST-ER: Retraining BERT for Protest Event Extraction
We analyze the effect of further retraining BERT with different domain specific data as an unsupervised domain adaptation strategy for event extraction.
Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification
Emotion Classification is the task of automatically associating a text with a human emotion.
Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers
Zero-shot text classifiers based on label descriptions embed an input text and a set of labels into the same space: measures such as cosine similarity can then be used to select the most similar label description to the input text as the predicted label.
Active Few-Shot Learning with FASL
Recent advances in natural language processing (NLP) have led to strong text classification models for many tasks.
You Write Like You Eat: Stylistic variation as a predictor of social stratification
Inspired by Labov's seminal work on stylistic variation as a function of social stratification, we develop and compare neural models that predict a person's presumed socio-economic status, obtained through distant supervision, from their writing style on social media.
SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations
In this paper, we present our participation to the EmoContext shared task on detecting emotions in English textual conversations between a human and a chatbot.
Ranked #2 on
Emotion Recognition in Conversation
on EC
TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction
Emojis are widely used on social media andunderstanding their meaning is important forboth practical purposes (e. g. opinion mining, sentiment detection) and theoretical purposes(e. g. how different L1 speakers use them, dothey have some syntax?
N-GrAM: New Groningen Author-profiling Model
We describe our participation in the PAN 2017 shared task on Author Profiling, identifying authors' gender and language variety for English, Spanish, Arabic and Portuguese.
D(H)ante: A New Set of Tools for XIII Century Italian
In this paper we describe 1) the process of converting a corpus of Dante Alighieri from a TEI XML format in to a pseudo-CoNLL format; 2) how a pos-tagger trained on modern Italian performs on Dante{'}s Italian 3) the performances of two different pos-taggers trained on the given corpus.
