596 citations · 1.1k across the 37 of their papers we have counts for
17 papers · 1 filter
Efficient Convolutional Neural Networks for Diacritic Restoration
Sawsan Alqahtani, Ajay Mishra, Mona Diab
Diacritic restoration has gained importance with the growing need for machines to understand written texts. The task is typically modeled as a sequence labeling problem and current…
Homograph Disambiguation Through Selective Diacritic Restoration
Sawsan Alqahtani, Hanan Aldarmaki, Mona Diab
Lexical ambiguity, a challenging phenomenon in all natural languages, is particularly prevalent for languages with diacritics that tend to be omitted in writing, such as Arabic. Om…
Rumor Detection and Classification for Twitter Data
Sardar Hamidian, Mona T Diab
With the pervasiveness of online media data as a source of information verifying the validity of this information is becoming even more important yet quite challenging. Rumors spre…
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues
Or Levi, Pedram Hosseini, Mona Diab +1
The blurry line between nefarious fake news and protected-speech satire has been a notorious struggle for social media platforms. Further to the efforts of reducing exposure to mis…
Overview for the Second Shared Task on Language Identification in Code-Switched Data
Giovanni Molina, Fahad AlGhamdi, Mahmoud Ghoneim +4
We present an overview of the second shared task on language identification in code-switched data. For the shared task, we had code-switched data from two different language pairs:…
Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data
Mona Diab, Mahmoud Ghoneim, Abdelati Hawwari +3
We present our effort to create a large Multi-Layered representational repository of Linguistic Code-Switched Arabic data. The process involves developing clear annotation standard…
WASA: A Web Application for Sequence Annotation
Fahad AlGhamdi, Mona Diab
Data annotation is an important and necessary task for all NLP applications. Designing and implementing a web-based application that enables many annotators to annotate and enter t…
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots
Arshit Gupta, Peng Zhang, Garima Lalwani +1
Natural Language Understanding (NLU) is a core component of dialog systems. It typically involves two tasks - intent classification (IC) and slot labeling (SL), which are then foll…
Part of speech tagging for code switched data
Fahad AlGhamdi, Giovanni Molina, Mona Diab +4
We address the problem of Part of Speech tagging (POS) in the context of linguistic code switching (CS). CS is the phenomenon where a speaker switches between two languages or vari…
Efficient Sentence Embedding using Discrete Cosine Transform
Nada Almarwani, Hanan Aldarmaki, Mona Diab
Vector averaging remains one of the most popular sentence embedding methods in spite of its obvious disregard for syntactic structure. While more complex sequential or convolutiona…
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task
Gustavo Aguilar, Fahad AlGhamdi, Victor Soto +3
In the third shared task of the Computational Approaches to Linguistic Code-Switching (CALCS) workshop, we focus on Named Entity Recognition (NER) on code-switched social-media dat…
Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data
Fahad AlGhamdi, Mona Diab
Linguistic Code Switching (CS) is a phenomenon that occurs when multilingual speakers alternate between two or more languages/dialects within a single conversation. Processing CS d…
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus
Shabnam Tafreshi, Mona Diab
In this paper we present an emotion classifier model submitted to the SemEval-2019 Task 3: EmoContext. The task objective is to classify emotion (i.e. happy, sad, angry) in a 3-tur…
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings
Hanan Aldarmaki, Mona Diab
We develop and investigate several cross-lingual alignment approaches for neural sentence embedding models, such as the supervised inference classifier, InferSent, and sequential e…
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles
Maryam Aminian, Mohammad Sadegh Rasooli, Mona Diab
We describe a transfer method based on annotation projection to develop a dependency-based semantic role labeling system for languages for which no supervised linguistic informatio…
Context-Aware Cross-Lingual Mapping
Hanan Aldarmaki, Mona Diab
Cross-lingual word vectors are typically obtained by fitting an orthogonal matrix that maps the entries of a bilingual dictionary from a source to a target vector space. Word vecto…
The ARIEL-CMU Systems for LoReHLT18
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu +27
This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery a…